clarity-gate

Local, agent-owned skill stacks for coding agents—from complete catalog access to a reproducible...

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项目 README

来源文件：README.md

抓取于 2026年7月29日

AAS Core — Agentic Awesome Skills

Local, agent-owned skill stacks for coding agents—from complete catalog access to a reproducible, reviewable plan.

Current release: V15.6.0. This release includes AAS Core for complete local catalog search, agent-owned selection, manifest validation, planning, and diagnosis. Apply and recovery remain experimental and outside the supported preview path.

Codex or Claude inspects your project and chooses exact skills from the complete local AAS catalog. AAS Core does not rank or recommend them: its read-only compose_stack tool validates the agent-owned selection in memory, and a client or the aas CLI can persist it as aas-stack.json and produce an immutable plan before any target change.

Read the AAS Core preview guide →

Project
  -> inspected by Codex or Claude (not by AAS)
  -> agent searches and reads the complete local catalog
  -> AAS MCP (local stdio, read-only)
  -> Codex or Claude chooses exact skill IDs
  -> compose_stack validates the selection in memory (read-only)
  -> client or AAS CLI persists aas-stack.json and optional evidence
  -> AAS CLI validate + immutable plan preview
  -> human review (optionally in Workbench)

The reusable SKILL.md playbooks, specialized plugins, bundles, workflows, and direct installers remain important. They are the content, curation, distribution, and compatibility layers around AAS Core—not competing primary products.

This is an independent community project. It is not affiliated with, sponsored by, endorsed by, or authorized by Google. Google, Antigravity, Gemini, and related product names are referenced only to describe compatibility and install targets. The GitHub repository is canonical; the hosted catalog and browser-local Workbench are companion discovery and review surfaces, not a hosted control plane.

AAS Core: Agent-First Preview

The agent composes. You control. AAS keeps the stack reproducible.

AAS Core gives the repository one product model:

Let the agent choose. The local MCP preserves search_skills, get_skill, compose_stack, inspect_stack, and diff_stack, and adds read-only export_selection_evidence and inspect_selection_evidence; Core does not rank, recommend, exclude, or hide skills.
Guide capability coverage. MCP session instructions require the agent to evaluate the full project surface—from architecture, domain behavior, data and integrations through testing, security, UX, deployment, and maintenance—then search each applicable capability, compare multiple candidates, cover it with a non-redundant skill or report a catalog gap, and avoid stopping at a minimal shortlist. Core records and validates the resulting selection, but it does not certify semantic completeness.
Keep the chosen stack and evidence reviewable. A client or the CLI can persist aas-stack.json and the separate aas-selection-evidence.json sidecar in an artifact-dir; the manifest preserves exact agent-selected IDs, while evidence records factual process trace and the agent-declared capability ledger.
Validate and preview through the CLI. aas stack validate checks the proposal, while aas stack plan produces an immutable, per-target plan without applying it.
Review in Workbench. The hosted Workbench imports and reviews stack/plan JSON in browser memory; it does not access your filesystem or install anything.
Retain every useful distribution path. Direct installs, plugins, bundles, workflows, and the full catalog remain available as payload and compatibility surfaces.

[!IMPORTANT] Structural and identity validity does not certify semantic fit, compatibility, setup correctness, operational safety, or safety to apply.

Surface	Current status
Published package	Current npm release; AAS Core status is `agent-first-preview`
Catalog search and inspection	Supported preview; local and read-only
Agent-owned composition	Supported preview; Core validates IDs and structure, not semantic suitability; manifests have a technical maximum of 128 skills
Stack validation and plan preview	Supported preview; no target skill changes
Workbench	Browser-local review of stack and plan artifacts
Selection evidence	Exported and inspected through MCP/CLI contracts; not yet reviewed in Workbench
Apply and recovery	Experimental, explicit opt-in, outside the supported safety claim
Semantic suitability certification	Not provided

Read the AAS Core guide for the exact trust boundaries, current preview status, Codex/Claude setup model, and CLI lifecycle.

Why This Repo

Agent-first, locally controlled: Codex or Claude inspects the project and chooses from the complete local catalog without uploading your repository to AAS.
Complete and inspectable: every catalog skill is searchable, readable, and available for agent selection; Core does not certify suitability, compatibility, or operational safety, and metadata is informational rather than an eligibility gate.
Approval before writes: the durable artifacts are an approved stack and immutable plan, not an opaque one-shot install.
Installable, not just inspirational: use the compatible legacy installer or plugin distributions when direct delivery is the right path.
Built for major agent workflows: Claude Code, Cursor, Codex CLI, Autohand Code, Gemini CLI, Antigravity, Kiro, OpenCode, Copilot, and more.
Broad coverage with real utility: 1,993+ skills across development, testing, security, infrastructure, product, and marketing.
Inspect before installing: the hosted Skill Workbench reviews agent-produced stack manifests and immutable plans without browser-side installation.
Focused delivery remains available: specialized plugins package proven sets for web, security, data, docs, DevOps, QA, OSS, or agent/MCP workflows.
Useful whether you want breadth or curation: install the full catalog, choose a specialized plugin, start with bundles, or compare alternatives before installing.

Why not just search the skills directory?

Direct file search can find candidate prose, but it leaves the result in the conversation. AAS Core adds verified catalog identity, explicit target binding, durable desired state, optional selection evidence, deterministic validation, immutable planning, and dedicated review surfaces. Its value is not choosing better than the coding agent; it is turning the agent's choice into reproducible, inspectable state.

AAS Core: Agent-First Preview
Why This Repo
Installation
Recommended Specialized Plugins
Choose Your Tool
Quick FAQ
Bundles & Workflows
Browse 1,993+ Skills
Troubleshooting
Stable Skills Manifest v1
Support the Project
Contributing
Community
Credits & Sources
Repo Contributors
Star History
License

Installation

For Codex and Claude, start with the AAS Core guide: configure the local MCP, ask the agent to inspect the project and choose exact IDs from the full catalog, review the proposed aas-stack.json, then run CLI validation and planning. The MCP and validation are read-only. Planning writes only the requested plan artifact; it does not materialize skill payloads or AAS managed state in the target.

Use direct installation when your host does not yet have a native AAS Core adapter, when you already know the exact skill IDs, or when you deliberately prefer manual selection:

Specialized plugins when the job has a clear domain.
Full library install when you want every skill available in a local skills directory.
Bundles and workflows when you want role-based recommendations or ordered execution playbooks.

Full library install

# Default: ~/.agents/skills (Antigravity 2.0 global). Use --path for other locations.
npx agentic-awesome-skills

# Antigravity CLI slash commands (agy): ~/.gemini/antigravity-cli/skills/<skill>/SKILL.md
npx agentic-awesome-skills --agy

The npm installer uses a shallow, release-pinned clone by default so first-run installs stay lighter than a full repository history checkout while matching the published npm package version. Use --tag main only when you intentionally want the current repository tip.

For backward compatibility, running the installer without selectors installs the entire catalog. The CLI now prints the catalog's risk summary first: a full install includes unknown, critical, and authorized-use-only offensive instructions. Installation copies files; it does not execute their commands, but an agent may act on an installed skill later. Prefer an exact reviewed set:

npx agentic-awesome-skills audit --skills brainstorming,backend-dev-guidelines
npx agentic-awesome-skills --skills brainstorming,backend-dev-guidelines --dry-run

The audit reads the selected skill directories without executing them and reports command, network, credential, filesystem, privileged, destructive, symlink, and binary signals. It is a review aid, not a safety certificate. See Security, trust, and antivirus alerts.

Focused single-skill install with GitHub CLI (preview)

GitHub CLI can preview and install one exact skill for Copilot and other supported hosts. Use an exact SKILL.md path in this large, mirrored repository so the selected source is unambiguous and discovery stays fast:

gh skill preview sickn33/agentic-awesome-skills skills/brainstorming/SKILL.md
gh skill install sickn33/agentic-awesome-skills skills/brainstorming/SKILL.md \
  --agent github-copilot --scope user --pin v14.2.0

gh skill support is currently a GitHub CLI preview and may change. Install a focused skill or plugin surface for the job; do not use --all unless you intentionally want every discovered canonical and mirrored skill.

Verify the install

test -d ~/.agents/skills && echo "Skills installed in ~/.agents/skills"

Run your first skill

Use @brainstorming to plan a SaaS MVP.

Prefer plugins for Claude Code or Codex?

Use a specialized plugin when you want a focused marketplace-style distribution.
Use the full-library plugin only when you want the widest plugin-safe catalog.
Read Plugins for Claude Code and Codex for full-library plugin install vs specialized plugin install vs direct skills install.

Recommended Specialized Plugins

Do not install everything first if you already know the work. Start with the focused plugin for your job, then add more only when the task expands.

All specialized plugins are generated as Claude Code and Codex plugin bundles. For Antigravity, use the same SKILL.md content through the installer or supported skills paths.

Plugin	Skills	Best for
AAS Web App Builder	10	Frontend and full-stack developers shipping modern web apps.
AAS Product Design Studio	10	Product UI, brand, portfolio, accessibility, and richer visual work.
AAS Security Engineer	10	Authorized security testing, audit, and hardening.
AAS Secure App Builder	10	Developers who want security embedded while building features.
AAS Documents & Presentations	9	Office files, document conversion, decks, and slide workflows.
AAS Data Analytics	10	Product analytics, SQL, dashboards, and experiments.
AAS Agent & MCP Builder	10	Agentic apps, MCP tools, RAG systems, and evaluation loops.
AAS QA & Test Automation	10	Test suites, browser automation, and QA stabilization.
AAS DevOps & Cloud	10	Infrastructure, deployments, and operational workflows.
AAS Accessibility & Inclusive UX	8	WCAG audits, automated scans, screen-reader checks, and accessible QA.
AAS API Platform Builder	10	API design, OpenAPI contracts, auth, security, load tests, and observability.
AAS SaaS Launch & Revenue	10	SaaS MVPs, pricing, payments, analytics, lifecycle, referrals, and SEO.
AAS AI Product & Evaluation Ops	10	AI product metrics, evals, tracing, experiments, and model-quality loops.

Next-wave plugins cover marketing/SEO/growth, automation, observability/incident response, Python APIs, mobile apps, data engineering, privacy/compliance, and localization/international growth.

Read the specialized plugin roadmap.
Read the plugin guide for Claude Code and Codex.
Compare the hosted specialized plugin landing page.
Browse the generated plugin folders in plugins/.

Choose Your Tool

Use the same repository, but install or invoke it in the way your host expects.

Tool	Install	First Use
Claude Code	AAS Core local MCP preview, direct install, or Claude plugin marketplace	Ask Claude to choose and compose an AAS stack
Cursor	`npx agentic-awesome-skills --cursor`	`@brainstorming help me plan a feature`
Gemini CLI	`npx agentic-awesome-skills --gemini`	`Use brainstorming to plan a feature`
Codex CLI	AAS Core local MCP preview or `npx agentic-awesome-skills --codex`	Ask Codex to choose and compose an AAS stack
Autohand Code	`npx agentic-awesome-skills --path ~/.autohand/skills` or `--path .autohand/skills`	`Use brainstorming to plan a feature`
Antigravity IDE	`npx agentic-awesome-skills --antigravity`	`Use @brainstorming to plan a feature`
Antigravity CLI (`agy`)	`npx agentic-awesome-skills --agy`	`/brainstorming help me plan a feature`
Kiro CLI	`npx agentic-awesome-skills --kiro`	`Use brainstorming to plan a feature`
Kiro IDE	`npx agentic-awesome-skills --path ~/.kiro/skills`	`Use @brainstorming to plan a feature`
GitHub Copilot	`gh skill install sickn33/agentic-awesome-skills skills/brainstorming/SKILL.md --agent github-copilot --scope user --pin v14.2.0` (preview)	`Ask Copilot to use brainstorming to plan a feature`
OpenCode	`npx agentic-awesome-skills --path .agents/skills --category development,backend --risk safe,none`	`opencode run @brainstorming help me plan a feature`
AdaL CLI	`npx agentic-awesome-skills --path .adal/skills`	`Use brainstorming to plan a feature`
Custom path	`npx agentic-awesome-skills --path ./my-skills`	Depends on your tool

Use the Codex and Claude guides for the AAS Core MCP preview path. For other hosts—or when you deliberately want manual delivery—use the table's direct install targets, specialized plugins, and host-specific path guidance.

Claude Code skills: install paths, starter skills, prompt examples, and plugin marketplace flow.
Cursor skills: .cursor/skills/ setup, UI-heavy work, and pair-programming flows.
Codex CLI skills: planning, implementation, debugging, and review skills for local coding loops.
Gemini CLI skills: research, agent systems, integrations, and engineering workflows.
AI agent skills guide: breadth vs curation, skill-library evaluation, and starting-point selection.

Quick FAQ

What is Agentic Awesome Skills?

Agentic Awesome Skills is the repository behind AAS Core, a local agent-first control plane for recording and validating agent-chosen skill stacks. The read-only AAS MCP gives Codex and Claude complete catalog search and skill inspection; the stack CLI and Workbench make the chosen state reproducible and reviewable. Direct installers, specialized plugins, bundles, and workflows remain supported distribution and discovery surfaces.

Is AAS Core fully certified?

The supported path covers complete local catalog search and inspection, agent-owned selection, stack composition and validation, immutable planning, and diagnosis. Transactional apply/recovery safety remains outside the supported claim; apply and recovery are explicitly experimental and disabled without additional opt-in flags.

How do I install it?

For AAS Core, follow the preview guide and use only a package release whose notes explicitly state that it includes Core. Release 14.6.0 predates Core; Core-capable releases begin with the 15.x line.

For direct skill distribution, run npx agentic-awesome-skills for the default full-library install. Use a tool-specific flag such as --codex, --cursor, --gemini, --claude, or --antigravity when you want the legacy installer to place skills in the directory your assistant already watches.

For Autohand Code, use the installer with a custom path:

npx agentic-awesome-skills --path ~/.autohand/skills
npx agentic-awesome-skills --path .autohand/skills

What are AAS specialized plugins?

AAS specialized plugins are focused, domain-specific distributions of the skill library. They package the most relevant skills for web apps, security, data analytics, documents, DevOps, QA, OSS maintenance, and agent or MCP work so users can start with the right surface instead of activating the entire catalog.

Should I use the full library or a plugin?

Use the full library if you want the biggest catalog and direct filesystem control. Use a specialized plugin when you want a smaller, marketplace-style distribution for a specific workflow in Claude Code or Codex. For Antigravity, install the matching skills into the supported skills path. The complete explanation lives in Plugins for Claude Code and Codex.

How are plugins, bundles, and workflows different?

Plugins are installable packaging surfaces, bundles are curated skill recommendations, and workflows are ordered execution playbooks. Start with a plugin when the domain is clear, use bundles to compare adjacent skills, and use workflows when the important part is sequencing planning, coding, testing, auditing, or release work.

Where do I browse plugins, bundles, workflows, and the full catalog?

Start with Specialized Plugins when you want an installable domain pack. Use Bundles for role-based recommendations, Workflows for ordered execution playbooks, CATALOG.md for the full registry, and the hosted GitHub Pages catalog for searchable browsing.

Bundles & Workflows

Core, plugins, bundles, and workflows answer different questions. Codex or Claude selects skills; AAS Core records and validates that selection; plugins package a focused delivery surface; bundles are curated starting points; workflows are ordered playbooks for getting a result.

Surface	Answers	Use it for
AAS Core	How do I search the full catalog and preserve the agent's chosen stack?	Agent-owned selection, a pinned `aas-stack.json`, validation, and immutable plan preview.
Specialized plugin	What should I install or activate for this domain?	Focused Claude Code/Codex plugin packaging and Antigravity-compatible skill selection.
Bundle	Which skills naturally belong together?	Role-based discovery after a full-library install or when building a custom subset.
Workflow	What order should the agent run skills in?	Planning, shipping, auditing, testing, or incident-style execution.

Use a specialized plugin first when your domain is clear. Use bundles to explore adjacent skills or assemble a custom install. Use workflows when the hard part is sequencing the work.

Start with bundles

Bundles are curated groups of recommended skills for a role or goal such as Web Wizard, Security Engineer, or OSS Maintainer.

Bundles are recommendations, not separate installs.
Install the closest specialized plugin when one matches your work, or install the repository once and use docs/users/bundles.md to pick a starting set.
Good starter combinations:
- SaaS MVP: Essentials + Full-Stack Developer + QA & Testing
- Production hardening: Security Developer + DevOps & Cloud + Observability & Monitoring
- OSS shipping: Essentials + OSS Maintainer

Use workflows for outcome-driven execution

Read docs/users/workflows.md for human-readable playbooks.
Use data/workflows.json for machine-readable workflow metadata.
Initial workflows include shipping a SaaS MVP, security audits, AI agent systems, QA/browser automation, and DDD-oriented design work.

Need fewer active skills at runtime?

If Antigravity starts hitting context limits with too many active skills, the activation guidance in docs/users/agent-overload-recovery.md can materialize only the bundles or skill ids you want in the live Antigravity directory.

If you use OpenCode or another .agents/skills host, prefer a reduced install up front instead of copying the full library into a context-sensitive runtime. The installer now supports --risk, --category, and --tags so you can keep the installed set narrow.

For a reproducible exact set, pin the package and catalog release and preview the full per-target plan before writing:

npx agentic-awesome-skills@14.3.0 --codex --release 14.3.0 --skills frontend-design,game-development/2d-games --dry-run

Remove --dry-run only after reviewing the install, update, and removal plan. Unknown or ambiguous skill identifiers fail closed, and metadata filters combine with --skills using AND.

The hosted Skill Workbench imports and reviews AAS Core stack manifests and immutable plans in browser memory. It does not access the filesystem, generate an approved plan, or install skills.

Browse 1,993+ Skills

Use the root repo as a landing page, then jump into the deeper surface that matches your intent.

What you get in this repository

Skills library in skills/
AAS Core in tools/lib/aas-v1, exposed through the aas CLI and local aas-mcp server
Versioned stack and result schemas in schemas/aas-v1
Compatible legacy installer CLI powered by the npm package in package.json
Generated catalog and metadata in CATALOG.md, skills_index.json, and data/
Hosted and local web app in apps/web-app and on GitHub Pages
Role-based bundles in docs/users/bundles.md
Specialized plugin surfaces in docs/users/specialized-plugin-roadmap.md, docs/users/plugins.md, and plugins/
Execution workflows in docs/users/workflows.md
User, contributor, and maintainer docs under docs/
Project visuals in assets/, including the hero, social card, logo, and support banner

Best ways to explore

Read the full catalog in CATALOG.md.
Browse the hosted catalog at https://sickn33.github.io/agentic-awesome-skills/.
Start with Getting Started and Usage if you are new after installation.
Use Bundles for role-based discovery and Workflows for step-by-step execution.
Use Plugins for Claude Code and Codex when you care about marketplace-safe distribution, and the Specialized Plugin Roadmap when you want the best plugin candidates.

Compare alternatives

Agentic Awesome Skills vs Awesome Claude Skills for breadth vs curated-list tradeoffs.
Best Claude Code skills on GitHub for a high-intent shortlist.
Best Cursor skills on GitHub for Cursor-compatible options and selection criteria.
Vexilo · A field guide to Claude Code — different scope: a visual, searchable index of every Claude Code primitive (31 agents / 99 commands / 123 skills / 13 rules), organized around the 5-step workflow. Useful as a navigation layer over any skill library, not as a skill library itself. (companion repo)

Troubleshooting

Keep the root README short; use the dedicated docs for recovery and platform-specific guidance.

If you are confused after installation, start with the Usage Guide.
For Core setup, trust boundaries, stack manifests, and preview status, use the AAS Core guide.
On native Windows, AAS_ADAPTER_WINDOWS_ACL_FAILED refers to the configuration path checked with PowerShell Get-Acl, not the cache and not icacls; do not approve until preview returns an approval digest.
If you integrate agentic-awesome-skills into a host, read the discovery contract first: Stable Skills Manifest v1.
For Windows truncation or context crash loops, use docs/users/windows-truncation-recovery.md.
For Linux/macOS overload or selective activation, use docs/users/agent-overload-recovery.md.
For OpenCode or other .agents/skills installs, prefer a reduced install such as npx agentic-awesome-skills --path .agents/skills --category development,backend --risk safe,none.
For plugin install details, host compatibility, and marketplace-safe distribution, use docs/users/plugins.md.
For contributor expectations and guardrails, use CONTRIBUTING.md, CODE_OF_CONDUCT.md, and SECURITY.md.

Stable Skills Manifest v1

This is the stable direct-host discovery manifest for integrations that load individual SKILL.md files. It is not aas-stack.json, the verified AAS Core catalog, or the Core composition contract. Core users should start with the AAS Core guide; custom host integrations can continue using the manifest below.

Host integrations should use:

skills_index.json as the canonical array-format manifest.
schemas/skills-index.v1.schema.json for the JSON shape.
data/skills_index.json as the compatibility mirror.

This keeps discovery stable (id, path, metadata) while ensuring hosts only load SKILL.md for requested @skill-id values.

Support the Project

Support is optional. The project stays free and open-source for everyone.

Buy me a book on Buy Me a Coffee
Security tooling support: Snyk
Star the repository
Open reproducible issues
Contribute docs, fixes, and skills

Contributing

Add new skills under skills/<skill-name>/SKILL.md.
Follow the contributor guide in CONTRIBUTING.md.
Use the template in docs/contributors/skill-template.md.
Validate with npm run validate before opening a PR.
Keep community PRs source-only: do not commit generated registry artifacts like CATALOG.md, skills_index.json, or data/*.json.
If your PR changes SKILL.md, expect the automated skill-review check on GitHub in addition to the usual validation and security scans.
If your PR changes skills or risky guidance, manual logic review is still required even when the automated checks are green.

Community

Discussions for questions, ideas, showcase posts, and community feedback.
Issues for reproducible bugs and concrete, actionable improvement requests.
Follow @AASkills_ on X for daily skills, practical workflows, and example prompts from the repo.
Follow @sickn33 on X for project updates and releases.
CODE_OF_CONDUCT.md for community expectations and moderation standards.
SECURITY.md for security reporting.

Credits & Sources

We stand on the shoulders of giants.

👉 View the Full Attribution Ledger

Source credits stay here for attribution and auditability. Repository contributor credit lives separately in Repo Contributors.

Key source families include:

Official AI platform and tool repositories
Security, web, infrastructure, data, design, and automation communities
Independent skill authors and open-source maintainers

Official Sources

Official Sources

aislon/uizze-mcp: Official source for the uizze-ui-research skill and UIZZE MCP-assisted UI research workflows.
anthropics/skills: Official Anthropic skills repository - Document manipulation (DOCX, PDF, PPTX, XLSX), Brand Guidelines, Internal Communications.
anthropics/claude-cookbooks: Official notebooks and recipes for building with Claude.
remotion-dev/skills: Official Remotion skills - Video creation in React with 28 modular rules.
vercel-labs/agent-skills: Vercel Labs official skills - React Best Practices, Web Design Guidelines.
openai/skills: OpenAI Codex skills catalog - Agent skills, Skill Creator, Concise Planning.
supabase/agent-skills: Supabase official skills - Postgres Best Practices.
microsoft/skills: Official Microsoft skills - Azure cloud services, Bot Framework, Cognitive Services, and enterprise development patterns across .NET, Python, TypeScript, Go, Rust, and Java.
Simon-He95/markstream-vue: Official Markstream skill for installing streaming Markdown renderers across Vue, React, Svelte, Angular, Nuxt, Next.js, and Vue 2 applications (MIT).
nowork-studio/NotFair: Official source for the seo-drift skill - dated SEO baselines and regression detection across rankings, indexation, metadata, directives, schema, and on-page elements (MIT).
MiniMax-AI/cli: Official MiniMax CLI - text, image, video, speech, music, vision, and web-search workflows for MiniMax models and APIs.
google-gemini/gemini-skills: Official Gemini skills - Gemini API, SDK and model interactions.
apify/agent-skills: Official Apify skills - Web scraping, data extraction and automation.
BuyWhere/buywhere-mcp: Official BuyWhere MCP server — search and compare products from Singapore, SEA, and US markets via Model Context Protocol.
expo/skills: Official Expo skills - Expo project workflows and Expo Application Services guidance.
huggingface/skills: Official Hugging Face skills - Models, Spaces, datasets, inference, and broader Hugging Face ecosystem workflows.
longbridge/skills: Official Longbridge Securities skills - real-time quotes, charts, fundamentals, portfolio analysis, options, and market workflows for HK, US, A-share, and SG markets.
HasData/hasdata-cli: Official HasData CLI and API guidance for search, scraping, ecommerce, travel, jobs, local business, and structured web data workflows.
runapi-ai/cli-skill: Official RunAPI CLI skill - generate AI images, videos, and music/audio from agent workflows, plus run other model API jobs.
neondatabase/agent-skills: Official Neon skills - Serverless Postgres workflows and Neon platform guidance.
Skyvern-AI/skyvern: Official Skyvern browser automation skill — AI-powered browser control using Vision LLMs and computer vision for navigating sites, filling forms, and extracting structured data.
scopeblind/scopeblind-gateway: Official Scopeblind MCP governance toolkit - Cedar policy authoring, shadow-to-enforce rollout, and signed-receipt verification guidance for agent tool calls.
Forward-Future/loop-library: Official Loop Library skill - find, adapt, and design bounded AI-agent feedback loops with verification, stop rules, guardrails, and handoffs (MIT).
agent-frontier/wgm: Official wgm protocol skill - governed build loops with triage, alignment, planning, deterministic backpressure, holdout-scenario judging, and handoff audits (MIT).
browser-act/skills: Official BrowserAct skills - authenticated browser automation, JavaScript-rendered extraction, screenshots, parallel session isolation, verification handling, and human handoff (MIT).
browserbase/skills: Official Browserbase competitor-analysis skill - Browserbase Search API competitor discovery, research lanes, matrices, screenshots, and HTML reports (MIT).
dair-ai/dair-academy-plugins: Official DAIR Academy plugin skills imported as standalone skills - image generation, adaptive learning, lesson artifacts, LLM council deliberation, survey papers, wiki building, and YouTube study notes (MIT).
weaviate/agent-skills: Official Weaviate skills - vector database operations, semantic and hybrid search, data imports, RAG cookbooks, agentic RAG, multimodal PDF search, and async client patterns (BSD-3-Clause).
pilot-protocol/pilotprotocol: Official Pilot Protocol overlay network - agent addressing, encrypted P2P messaging, NAT traversal, and an installable agent app store (AGPL-3.0).
Xquik-dev/x-twitter-scraper: Official Xquik skill for X data workflows - tweet search, user lookup, follower export, media downloads, MCP, webhooks, OpenAPI, and SDK setup (MIT).
Modellix/modellix-plugin: Official Modellix skill - authenticated, paid AI image and video generation through the Modellix CLI (MIT).

Community Contributors & Source Repositories

Community Contributors

maleksaadi0109/hyprfedora: Source for the fedora-hyprland-installer skill - GPU-aware Fedora Hyprland installation, configuration, verification, repair, and removal workflows (MIT).
merc1305/findMate: Source for the find-complementary-founders skill - private-first own-owner assessment, approved expiring profiles, and evidence-backed human founder matching (MIT).
provencher/codex-skills: Source for the orchestrate skill - focused Codex multi-agent delegation with non-overlapping ownership, coordinator integration, and user-held approval gates (MIT).
0xsarwagya/ontoly: Source for the ontoly-software-graph skill - deterministic TypeScript software graphs, MCP-backed architecture review, request tracing, impact analysis, and dependency analysis (MIT).
amElnagdy/guard-skills — Code Quality & Testing Guard Skills (by amElnagdy)
cloudflare/security-audit-skill — Cloudflare Web Security Audit Skill (by Cloudflare)
gooseworks-ai/goose-skills: Source for the competitor-ad-intelligence and ad-campaign-analyzer skills - evidence-labeled public ad research plus uncertainty-aware campaign diagnostics and bounded budget tests (MIT).
supernovae-st/nika-agents: Official upstream source for the nika skill and its deterministic, budget-aware AI workflow runner (MIT skill content; AGPL-3.0 engine).
atdy/maoxuan-product-agent: Source for the product-decision-agent skill - Chinese-first product judgment across prioritization, growth, operations, data, delivery, and cross-functional collaboration, with 36 tested scenarios (MIT).
hafiz-actyte/idea-autopsy: Source for the idea-autopsy skill - business-idea validation that hunts the one sentence that kills an idea before you build: kill-list check, five hard filters, free-AI one-prompt test, and live ad-market verification (MIT).
cruisekkk/trading-ledger: Source for the trading-ledger skill - decision-quality trade journaling that captures entry thesis, plan, and emotion into the user's own Notion database (MIT).
cruisekkk/time-ledger: Source for the time-ledger skill - natural-language time tracking parsed into the user's own Notion database with ask-instead-of-guessing reconciliation (MIT).
mattpocock/skills: Source for 17 Matt Pocock workflow skills - codebase design, TDD, bug diagnosis, triage, PRDs, issues, prototyping, handoff, teaching, and skill-writing guidance (MIT).
emilkowalski/skills: Source for Emil Kowalski design engineering skills - UI polish, motion review, animation standards, component craft, and high-taste frontend guidance (MIT).
chaunsin/agent-skills: Source for the pre-release-review and drizzle-migration-conflict skills - deploy-readiness audits and Drizzle Kit migration-conflict workflows (Apache-2.0).
addyosmani/agent-skills: Source for the browser-testing-with-devtools skill - Chrome DevTools MCP browser verification, profiling, network inspection, and frontend debugging guidance (MIT).
stareezy-1/frontend-architecture-skill: Source for the frontend-lighthouse skill - portable Lighthouse CI Core Web Vitals gates, performance budgets, and GitHub Actions reporting (MIT).
bin1874/before-you-build-skill: Source for the before-you-build skill - pre-coding product risk review across demand, alternatives, switching costs, channels, and validation steps (MIT).
sparklingneuronics/sparkling-skills: Source for the dispatch skill - multi-CLI delegation from Claude Code to Codex, Antigravity, and Gemini agents (MIT).
takeaseatventure/sql-sentinel: Source for the sql-sentinel skill - SQL warehouse cost and performance anti-pattern audits across BigQuery, Snowflake, Redshift, and Postgres (MIT).
takeaseatventure/devops-skills: Source for the cron-doctor skill - cron expression diagnosis, validation, trap detection, and zero-dependency schedule analysis tooling (MIT).
drogers0/gh-image: Source for the gh-image skill - GitHub CLI image uploads that return canonical user-attachments embed URLs for PRs, issues, comments, and README screenshots (MIT).
Genefold/arrowspace-skills: Source for the arrowspace skill - spectral vector search using graph Laplacian eigenstructure for structurally aware retrieval (Apache-2.0).
yaojingang/yao-meta-skill: Source for the yao-meta-skill skill - governed skill creation, refactoring, evaluation, packaging, review, and distribution workflows (MIT).
connerkward/ckw-design-skill: Source for the ckw-design skill - frontend design direction, design-system guidance, visual philosophy, spatial checks, usability review, and production UI polish workflows (MIT).
connerkward/deterministic-design-skill: Source for the deterministic-design skill - rendered UI layout and usability audits using deterministic measurement plus vision-judged review loops (MIT).
connerkward/lookdev-auto-skill: Source for the lookdev-auto skill - automated visual tuning loops where a vision or video model rates rendered variants and suggests improvements (MIT).
connerkward/lookdev-studio-skill: Source for the lookdev skill - human-in-the-loop visual and prose tuning through rendered variants, sliders, swatches, inline edits, and selection-driven refinement (MIT).
connerkward/macos-screen-recorder-system-audio: Source for the macos-screen-recorder skill - macOS ScreenCaptureKit recording with system audio, CLI workflows, permission handling, and export guidance (MIT).
connerkward/mcp-apple-notes: Source for the apple-notes-search skill - semantic and keyword search, related-note discovery, bridge finding, entity threads, and cited synthesis across local Apple Notes via MCP (MIT).
connerkward/screenstudio-alternative-skill: Source for the screenstudio-alt skill - open-source screen recording polish with auto-zoom, idle speed-up, cursor treatment, captions, and vertical export workflows (MIT).
connerkward/web-media-getter-skill: Source for the web-media-getter skill - unified search across free image, video, and GIF APIs with license-aware media selection guidance (MIT).
xi-kari/crossframe-skill: Source for the CrossFrame Skill Suite - Chinese-canonical structural diagnosis, essay drafting, review, and companion workflows across relationships, organizations, institutions, public issues, and research notes (MIT).
qinghui316/ecl-harness-engineer: Source for the ecl-harness-engineer skill - ECL Agent Harness infrastructure for AI coding workflows, repository guidance, change tracking, lint checks, CI gates, and handoff docs (MIT).
baskduf/FableCodex: Source for the codex-fable5 skill - Codex-native Fable-inspired workflow discipline for evidence-first implementation, goal tracking, review findings, verification gates, and prompt adaptation (AGPL-3.0-or-later).
Suraj1235/open-dynamic-workflows: Source for the open-dynamic-workflows skill - open-source dynamic multi-agent workflow engine that plans, orchestrates, and adversarially verifies parallel AI coding agents across OpenCode, Codex, Antigravity, and VS Code (MIT).
multica-ai/andrej-karpathy-skills: Source for the andrej-karpathy skill - English Karpathy-inspired LLM coding guidelines for simplicity, surgical changes, assumption surfacing, and verifiable success criteria (MIT).
mskadu/opencode-agent-skills: Source for opencode behavior, permission, skill-suggestion, and smart Git automation skills.
adelaidasofia/ai-brain-starter: Source for the ingest-youtube skill - YouTube transcript ingestion into markdown vaults with yt-dlp metadata, VTT cleanup, and capture-seed stubs (MIT).
JDDavenport/context-kit: Source reference for the context-kit skill - local-first Personal Context Artifact setup, installer review, and private context hygiene for Claude Code and adjacent agent workflows.
JunsW/feature-track: Source for the feature-tracking skill - lightweight repository-native feature memory for current status, source-of-truth documents, decisions, risks, and cross-session handoff (MIT).
JularDepick/user-thoughts.SKILL: Source for the user-thoughts skill - persistent project idea repository workflows for capturing decisions, tech stack notes, UI/UX rationale, and MDBASE-backed project memory (MIT).
TheaDust/lore: Source for the lore skill - Markdown-only, zero-dependency long-term project memory for AI coding agents, with monorepo scopes, two-section platform mirrors, and stdlib Python helpers (MIT).
ZeroPointRepo/youtube-skills: Source for the youtube-full skill - TranscriptAPI-backed YouTube transcripts, search, channel browsing, playlists, and cloud-safe video research workflows (MIT).
Antheurus/anywrite: Source for the anywrite skill - low-context CLI access to Anytype's local API for objects, properties, files, search, chat, and other workspace operations (MIT).
Antheurus/sshepherd: Source for the sshepherd skill - credential-isolated SSH operations, service control, logs, configuration changes, Postgres introspection, and declarative deploys through preconfigured aliases (MIT).
ejentum/ejentum-mcp: Source for the ejentum-reasoning-harness skill - MCP cognitive harness modes for reasoning, code review, anti-deception checks, and memory-drift analysis (MIT).
luoyuctl/agenttrace: Source for the agenttrace-session-audit skill - local AI coding-agent session audits for cost spikes, tool failures, latency gaps, anomalies, health gates, and session diffs (MIT).
ohad6k/ditto: Source for the ditto skill - mines local coding-agent sessions into private, evidence-backed work, design, and writing profiles with dated source receipts (MIT).
Necmttn/ax: Source for the ax-extract-workflow skill - reconstruct workflow behind past coding-agent artifacts using local ax sessions, commits, skills, and tool traces (AGPL-3.0-only).
Hanyuyuan6/remote-gpu-trainer: Source for the remote-gpu-trainer skill - rented and remote GPU job orchestration, monitoring, teardown safety, spot resilience, and DL-debug workflows (MIT).
mturac/recsys-pipeline-architect: Source for the recsys-pipeline-architect skill - recommendation, ranking, and feed pipeline architecture using Source, Hydrator, Filter, Scorer, Selector, and SideEffect stages (MIT).
aomi-labs/skills: Source for the aomi-transact skill — natural-language driver for the Aomi CLI with account-abstraction-first execution and simulate-then-sign across 25+ DeFi apps (MIT).
mycelos-ai/bumblebee-skill: Source for the bumblebee skill - multi-agent implementation workflows with repeatable planning, coding, review, and verification loops (MIT).
demo112/yunqu-ai-skills: Source for WeChat official account, Xiaohongshu content strategy, and MCP tool development skills for Chinese-language platform workflows (MIT).
tellmefrankie/news-engine: Source for the news-sentiment-engine skill - news ingestion, sentiment analysis, and market/news intelligence workflows (MIT).
Kench001/antigravity-awesome-skills: Source for the recursive-context-pruning-token-budgeting skill - context pruning, token budgeting, and long-session compression guidance (MIT).
rich-elicitation: Source for the rich-elicitation skill - asks clarifying questions in multiple rounds before starting ambiguous tasks.
CodeShuX/mockhunter: Source for the mock-hunter skill - Playwright-based live-page audits that classify visible values as real, mock, LLM-generated, hardcoded, broken, or unknown (MIT).
commitshow/production-audit: Source for the production-audit skill - shipped-app readiness auditing across deployment health, RLS, webhooks, secrets exposure, grants, Stripe idempotency, and mobile UX.
MohamedAbdallah-14/unslop: Source for the unslop skill - deterministic and LLM-assisted cleanup for AI-generated prose across CLI and agent tool workflows.
monte-carlo-data/mc-agent-toolkit: Monte Carlo data observability skills — table health checks, change impact assessment, monitor creation, push ingestion, and SQL validation notebooks for dbt changes.
openclaw/skills: Source for the daily-gift skill - relationship-aware creative gift generation with editorial judgment, concept selection, and multi-format rendering.
umutbozdag/agent-skills-manager: Source for the manage-skills skill - cross-tool skill discovery, creation, editing, toggling, copying, moving, and deletion workflows across major agent coding tools.
pumanitro/global-chat: Source for the Global Chat Agent Discovery skill - cross-protocol discovery of MCP servers and AI agents across multiple registries.
bitjaru/styleseed: StyleSeed Toss UI and UX skill collection - setup wizard, page and pattern generation, design-token management, accessibility review, UX audits, feedback states, and microcopy guidance for professional mobile-first UI.
yikuansun/PhotopeaAPI: Source for the photopea-embedded-editor skill - Photopea embedding, host-page messaging, file I/O, scripting, and export workflows for web apps (MIT).
milkomida77/guardian-agent-prompts: Source for the Multi-Agent Task Orchestrator skill - production-tested delegation patterns, anti-duplication, and quality gates for coordinated agent work.
Elkidogz/technical-change-skill: Source for the Technical Change Tracker skill - structured JSON change records, session handoff, and accessible HTML dashboards for coding continuity.
vipin-si/article-illustrations: Source for the article-illustrations skill - Grav-style hand-drawn article illustrations with whiteboard sketches, sparse annotations, and visual metaphor QA guidance (MIT).
274326424/video-content-extractor: Source for the video-content-extractor skill - FFmpeg and Tesseract OCR workflows for extracting timestamped screen text and structured Markdown reports from MP4 videos (MIT).
metrox-eth/quit-sponsor: Source for the quit-sponsor skill - evidence-based quit-smoking sponsorship for agents with persistent memory: 44-source cited protocols, sponsor decision tree, three-clause contract, wave protocol, slip attribution coaching, and a timestamped logbook (MIT).
rmyndharis/antigravity-skills: For the massive contribution of 300+ Enterprise skills and the catalog generation logic.
amartelr/antigravity-workspace-manager: Workspace Manager CLI companion to dynamically auto-provision subsets of skills across local development environments.
obra/superpowers: The original "Superpowers" by Jesse Vincent.
guanyang/antigravity-skills: Core Antigravity extensions.
diet103/claude-code-infrastructure-showcase: Infrastructure and Backend/Frontend Guidelines.
ChrisWiles/claude-code-showcase: React UI patterns and Design Systems.
travisvn/awesome-claude-skills: Loki Mode and Playwright integration.
Dimillian/Skills: Curated Codex skills focused on Apple platforms, GitHub workflows, refactoring, and performance (MIT).
zebbern/claude-code-guide: Comprehensive Security suite & Guide (Source for ~60 new skills).
morsechimwai/lemmaly: Source for the lemmaly, mathguard, invariant-guard, and complexity-cuts skills — algorithm-first discipline layer that forces AI coding agents to state Big-O, name the data structure, prove termination, and pick the right algorithm before writing the loop. Ships a deterministic CI scanner with 59 rules across 11 languages (Apache-2.0).
alirezarezvani/claude-skills: Senior Engineering and PM toolkit.
karanb192/awesome-claude-skills: A massive list of verified skills for Claude Code.
VoltAgent/awesome-agent-skills: Curated collection of 1000+ official and community agent skills from leading development teams (MIT).
zircote/.claude: Archived Claude Code dotfiles/config repo with a Shopify development skill reference.
vibeforge1111/vibeship-spawner-skills: AI agents, integrations, maker tools, and other production-grade skill packs.
coreyhaines31/marketingskills: Marketing skills for CRO, copywriting, SEO, paid ads, and growth (23 skills, MIT).
iradoweck/antigravity-awesome-skills: Source for the GeminiIgnore FinOps skill - .geminiignore setup patterns for context-window efficiency and token cost reduction.
heyneuron/flowhunt-skill: Source for the FlowHunt automation discovery audit skill - workflow intake, tool-by-tool audit, and opportunity prioritization for productivity automation.
Intelligent-Internet/II-Commons-Skills: Source for the II-Commons research skill - deterministic retrieval across arXiv, PubMed/PMC, and supported US policy corpora.
AgriciDaniel/claude-seo: SEO workflow collection covering technical SEO, hreflang, sitemap, geo, schema, and programmatic SEO patterns.
Leonxlnx/taste-skill: Frontend design taste skill collection covering premium UI generation, redesign audits, GSAP motion, Stitch design systems, minimalist and brutalist visual modes, and full-output enforcement.
2slides/slides-generation-2slides-skills: Source for the 2slides-ppt-generator skill - AI presentation generation, PDF deck creation, narration, theme search, and slide export workflows using the 2slides API (MIT).
ch040602/mdpr-skill: Source for the mdpr-skill skill - Codex-assisted MDPR presentation review, semantic hints, visual checks, theme candidates, and deterministic renderer boundaries (MIT).
whoisabhishekadhikari/lovable-cleanup: Source for the lovable-cleanup skill — audits and strips Lovable scaffolding from Vite + React projects.
sarveshtalele/linkedin-content-skill: Source for the linkedin-content-generator skill - LinkedIn post, carousel, newsletter, and content-calendar generation workflows with local feedback memory (MIT).
mrprewsh/seo-aeo-engine: SEO/AEO content-growth system covering keyword research, content clustering, landing pages, blog structure, schema, internal linking, and audit workflows.
jonathimer/devmarketing-skills: Developer marketing skills — HN strategy, technical tutorials, docs-as-marketing, Reddit engagement, developer onboarding, and more (33 skills, MIT).
kepano/obsidian-skills: Obsidian-focused skills for markdown, Bases, JSON Canvas, CLI workflows, and content cleanup.
lewiswigmore/agent-skills: Source for the vscode-extension-guide-en skill - VS Code extension development workflows, packaging, Marketplace publishing, TreeView, and webview patterns.
mbenhard/unship: Source for the unship skill - local workflow for comparing AI-generated UI variants in a real app, then keeping one option and cleaning up temporary alternatives (MIT).
Silverov/yandex-direct-skill: Yandex Direct (API v5) advertising audit skill — 55 automated checks, A-F scoring, campaign/ad/keyword analysis for the Russian PPC market (MIT).
vudovn/antigravity-kit: AI Agent templates with Skills, Agents, and Workflows (33 skills, MIT).
affaan-m/everything-claude-code: Large Claude Code configuration and workflow collection from an Anthropic hackathon winner (MIT).
whatiskadudoing/fp-ts-skills: Practical fp-ts skills for TypeScript – fp-ts-pragmatic, fp-ts-react, fp-ts-errors (v4.4.0).
warmskull/idea-darwin: Darwinian idea-evolution workflow for structured ideation rounds, mutation, crossbreeding, critique, and lineage tracking.
Slashworks-biz/idea-os: Source for the idea-os skill - five-phase pipeline (triage -> clarify -> research -> PRD -> plan) that turns raw ideas into a build-ready PRD and execution plan.
webzler/agentMemory: Source for the agent-memory-mcp skill.
rafsilva85/credit-optimizer-v5: Manus AI credit optimizer skill — intelligent model routing, context compression, and smart testing. Saves 30-75% on credits with zero quality loss. Audited across 53 scenarios.
ndesv21/socialclaw: Source for the SocialClaw social media publishing skill - campaign scheduling and publishing across major social platforms with a single workspace API key.
taisly/agent: Source for the Taisly Social Media Posting skill - Codex plugin, CLI, SDK, and official MCP server for publishing approved short-form videos to TikTok, Instagram Reels, YouTube Shorts, X, and Facebook (MIT).
nickdesi/ZipAI: Source for the zipai-optimizer skill — ultra-dense prompt caching, semantic log pruning, AST-based code viewing, minified JSON payloads, and telegraphic output constraints for maximum token savings.
Wittlesus/cursorrules-pro: Professional .cursorrules configurations for 8 frameworks - Next.js, React, Python, Go, Rust, and more. Works with Cursor, Claude Code, and Windsurf.
nedcodes-ok/rule-porter: Bidirectional rule converter between Cursor (.mdc), Claude Code (CLAUDE.md), GitHub Copilot, Windsurf, and legacy .cursorrules formats. Zero dependencies.
SSOJet/skills: Production-ready SSOJet skills and integration guides for popular frameworks and platforms — Node.js, Next.js, React, Java, .NET Core, Go, iOS, Android, and more. Works seamlessly with SSOJet SAML, OIDC, and enterprise SSO flows. Works with Cursor, Antigravity, Claude Code, and Windsurf.
timwukp/agent-skills-best-practice: Source for the fsi-compliance-checker skill - financial-services compliance triage for PCI-DSS v4.0 and MAS TRM control mapping (MIT).
MojoAuth/skills: Production-ready MojoAuth guides and examples for popular frameworks like Node.js, Next.js, React, Java, .NET Core, Go, iOS, and Android.
mishanefedov/skill-issue: Source for the skill-issue activation-audit skill for grading SKILL.md trigger metadata, prompt matching, and collision clusters (MIT).
wede-wx/atlas: Source for the atlas-contract and atlas-ledger goal-integrity skills - contract, phase-check, final-audit, and project-ledger guardrails for long-running agent work (MIT).
yehudalevy-collab/polis-protocol: Source for the polis-protocol multi-agent coordination skill with capability cards, routing history, and protocol amendments (MIT).
connerlambden/helium-mcp: Source for the helium-mcp skill — MCP server for news intelligence, media bias analysis, market data, options pricing, and semantic meme search.
shmlkv/dna-claude-analysis: Personal genome analysis toolkit — Python scripts analyzing raw DNA data across 17 categories (health risks, ancestry, pharmacogenomics, nutrition, psychology, etc.) with terminal-style single-page HTML visualization.
AlmogBaku/debug-skill: Interactive debugger skill for AI agents — breakpoints, stepping, variable inspection, and stack traces via the dap CLI. Supports Python, Go, Node.js/TypeScript, Rust, and C/C++.
sendblue-api/sendblue-cli: Source for the sendblue-cli, sendblue-api, and sendblue-notify skills — iMessage, SMS, and RCS messaging via Sendblue's CLI and HTTP API, plus "text me when X finishes" notification patterns for Claude Code hooks and /loop / /schedule jobs (MIT).
njerschow/textme: Source for the textme skill — local daemon bridging inbound iMessages (via Sendblue) to a Claude Code session on the user's machine, with voice notes, image input, code execution, and a phone-number whitelist (MIT).
aptratcn/skill-audit: Pre-install security audit skill for detecting malicious, overprivileged, or suspicious third-party agent skills before installation (MIT).
uberSKILLS: Design, test, and deploy Claude Code Agent Skills through a visual, AI-assisted workflow.
christopherlhammer11-ai/tool-use-guardian: Source for the Tool Use Guardian skill — tool-call reliability wrapper with retries, recovery, and failure classification.
christopherlhammer11-ai/recallmax: Source for the RecallMax skill — long-context memory, summarization, and conversation compression for agents.
tsilverberg/webapp-uat: Full browser UAT skill — Playwright testing with console/network error capture, WCAG 2.2 AA accessibility checks, i18n validation, responsive testing, and P0-P3 bug triage. Read-only by default, works with React, Vue, Angular, Ionic, Next.js.
Wolfe-Jam/faf-skills: AI-context and project DNA skills — .faf format management, AI-readiness scoring, bi-sync, MCP server building, and championship-grade testing (7 skills, MIT).
fullstackcrew-alpha/privacy-mask: Local image privacy masking for AI coding agents. Detects and redacts PII, API keys, and secrets in screenshots via OCR + 47 regex rules. Claude Code hook integration for automatic masking. Supports Tesseract and RapidOCR. 100% offline (MIT).
AvdLee/SwiftUI-Agent-Skill: SwiftUI best-practices skill for agent workflows (MIT).
CloudAI-X/threejs-skills: Three.js-focused skill collection for agent-assisted 3D web work.
K-Dense-AI/claude-scientific-skills: Scientific, research, engineering, finance, and writing skill suite (MIT).
NotMyself/claude-win11-speckit-update-skill: Archived Speckit update skill for Claude Code (MIT).
SHADOWPR0/beautiful_prose: Writing-quality skill for improving prose and reducing generic output.
SHADOWPR0/security-bluebook-builder: Security documentation/buildbook skill for agent workflows.
SeanZoR/claude-speed-reader: RSVP-style speed-reading helper for Claude responses (MIT).
Shpigford/skills: General-purpose agent skills for common development tasks (MIT).
ZhangHanDong/makepad-skills: Makepad app-development skills and references (MIT).
czlonkowski/n8n-skills: n8n workflow-building skills for Claude Code (MIT).
frmoretto/clarity-gate: Verification protocol for marking uncertainty and reducing hallucinated certainty in LLM-facing docs.
fruitwyatt/puzzle-activity-planner: Puzzle activity-planning skill for classrooms, parties, and events with generator-link workflows.
gokapso/agent-skills: Kapso/WhatsApp-oriented agent skills.
huifer/WellAlly-health: Healthcare assistant project cited in release history as a source for health-focused agent capabilities (MIT).
hyhmrright/brooks-lint: AI code-review skill grounded in classic software engineering books for design-smell, coupling, and architecture review.
hyhmrright/logic-lens: AI code-review skill for formal logic inspection across bugs, race conditions, security risks, and API contract issues.
ibelick/ui-skills: UI-polish skills for improving interfaces built by agents (MIT).
jackjin1997/ClawForge: Resource hub of skills, MCP servers, and agent tooling for OpenClaw.
jthack/ffuf_claude_skill: FFUF skill for web fuzzing workflows in Claude.
kubestellar/console: KubeStellar Console multi-cluster Kubernetes dashboard with kc-agent MCP integration, AI-assisted operations, and built-in agent skills.
MetcalfSolutions/Satori: Clinically informed wisdom companion blending psychology frameworks and wisdom traditions into a structured reflective partner.
muratcankoylan/Agent-Skills-for-Context-Engineering: Context-engineering, multi-agent, and production agent-system skill collection (MIT).
robzolkos/skill-rails-upgrade: Rails upgrade skill for agent-assisted migrations.
sanjay3290/ai-skills: Apache-licensed collection of agent skills for AI coding assistants.
scarletkc/vexor: Semantic search engine for files and code, referenced in release history.
sstklen/infinite-gratitude: Multi-agent research skill from the AI Dojo series (MIT).
TerminallyLazy/Tree-Ring-Memory: Source for the tree-ring-memory skill — local-first memory lifecycle guidance for recall, evidence, audit, forgetting, consolidation, and privacy-safe agent memory operations (Apache-2.0).
wrsmith108/linear-claude-skill: Linear issue/project/team management skill with MCP and GraphQL workflows (MIT).
wrsmith108/varlock-claude-skill: Secure environment-variable management skill for Claude Code (MIT).
xwmxcz/papers-skill: Source for the papers-skill skill — academic research workflows over Semantic Scholar (200M+ papers) and arXiv, with citation lookup, arXiv PDF download, and PyMuPDF text extraction via a bundled Python CLI (MIT).
zenlee123/routerbase-agent-skills: Source for the routerbase-model-gateway skill — OpenAI-compatible RouterBase model gateway setup, model-routing plans, server-side credential handling, and fallback validation patterns (MIT-0).
zarazhangrui/frontend-slides: Frontend slide-creation skills for web-based presentations (MIT).
zxkane/aws-skills: AWS-focused Claude agent skills (MIT).
UrRhb/agentflow: Kanban-driven AI development pipeline for orchestrating multi-worker Claude Code workflows with deterministic quality gates, adversarial review, cost tracking, and crash-proof execution (MIT).
AgentPhone-AI/skills: AgentPhone plugin for Claude Code — API-first telephony workflows for AI agents, including phone calls, SMS, phone-number management, voice-agent setup, streaming webhooks, and tool-calling patterns.
uxuiprinciples/agent-skills: Research-backed UX/UI agent skills for auditing interfaces against 168 principles, detecting antipatterns, and injecting UX context into AI coding sessions.
voidborne-d/humanize-chinese: Chinese AI-text detection and humanization toolkit for scoring, rewriting, academic AIGC reduction, and style conversion workflows.
voidborne-d/lambda-lang: Agent-to-agent coordination language with compact atoms for multi-agent messaging, orchestration, and structured coordination logs.
davidondrej/skills: Source for David Ondrej agent workflow skills across orchestration, research, setup, skill authoring, and documentation workflows (MIT).
LambdaTest/agent-skills: Production-grade agent skills for test automation — 46 skills covering E2E, unit, mobile, BDD, visual, and cloud testing across 15+ languages (MIT).
flyingsquirrel0419/squirrel-skill: Full-cycle software development skill — plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline. Works on 9 AI coding agent platforms (Apache 2.0).
CodeShuX/tokenwise: Source for the tokenwise skill — measurement-driven Haiku/Sonnet/Opus router for Claude Code with per-task NDJSON logging, A/B test mode, and verified $-saved reports (MIT).
anthony-chaudhary/dos-kernel: Source for the dos-verify-done-claims skill — gates an agent's "done / shipped / fixed" claim on git ground truth (ancestry + the commit's own diff) via the deterministic DOS kernel's read-only dos verify / dos commit-audit verbs (MIT).
maxbaluev/accreted-intelligence: Source for the accint-solve skill — routes coding-agent work through AccInt's MCP memory loop with retrieval, continuation frames, commitments, and outcome feedback (Apache 2.0).
sergebulaev/linkedin-skills: Source for the linkedin-post-writer skill - LinkedIn post drafting from 16 tested hook formulas mapped to engagement goals, with 2026 formatting rules and an AI-tell scrub pass, from a 10-skill LinkedIn bundle for Claude Code and Codex (MIT).
Sharrmavishal/operating-kit: Source for the pre-ship-gate skill - a pre-deploy gate that walks the silent failure modes (migrations, feature flags, stale build cache, release pointer, staged rollout, missing env) and verifies the live revision instead of trusting deploy output (MIT).
Ducksss/codex-profiles: Source for the codex-profiles skill - Codex CLI/Desktop profile isolation around separate CODEX_HOME directories, diagnostics, and account-context boundaries without copying auth tokens (MIT).
kimtth/agent-pptify-kit: Source for the pptx-deck-creation skill - editable, production-ready PowerPoint deck creation with narrative planning, explicit layouts, asset guidance, and quality checks (MIT).
Optim-Agent/optim-agent: Source for the optim-agent skill - agent-guided optimization of configurable systems against measurable objectives (MIT).
thecsdoctor/brendangregg-use-tsa-skill: Source for the brendangregg-use-tsa skill - methodical performance troubleshooting and root-cause analysis with Brendan Gregg's USE and TSA methods, plus evidence-backed RCA and postmortem reporting (MIT).

Inspirations & Additional Sources

Inspirations

f/awesome-chatgpt-prompts: Inspiration for the Prompt Library.
leonardomso/33-js-concepts: Inspiration for JavaScript Mastery.

Additional Sources

agent-cards/skill: Manage prepaid virtual Visa cards for AI agents. Create cards, check balances, view credentials, close cards, and get support via MCP tools.

Repo Contributors

Made with contrib.rocks. (Image may be cached; view live contributors on GitHub.)

We officially thank the following contributors for their help in making this repository awesome!

Star History

If Agentic Awesome Skills has been useful, consider ⭐ starring the repo!

License

Original code and tooling are licensed under the MIT License. See LICENSE.

Original documentation and other non-code written content are licensed under CC BY 4.0, unless a more specific upstream notice says otherwise. See docs/sources/sources.md for attributions and third-party license details.

其他

中风险

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包含脚本或命令调用，安装前请复核。
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Codex — Git Clone 安装

安装前请先查看来源仓库和风险报告。
克隆仓库：git clone https://github.com/sickn33/agentic-awesome-skills.git
将 "skills/clarity-gate" 文件夹复制到 Codex 的 skills 目录中。
重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

安装前请先查看来源仓库和风险报告。
从源仓库下载 SKILL.md 及相关文件。
在 Codex 的 skills 目录中创建新文件夹。
将所有 skill 文件复制到新文件夹中。
重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

安装前请先查看来源仓库和风险报告。
克隆仓库：git clone https://github.com/sickn33/agentic-awesome-skills.git
将 "skills/clarity-gate" 文件夹复制到 Claude Code 的 skills 目录中。
重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

安装前请先查看来源仓库和风险报告。
从源仓库下载 SKILL.md 及相关文件。
在 Claude Code 的 skills 目录中创建新文件夹。
将所有 skill 文件复制到新文件夹中。
重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

安装前请先查看来源仓库和风险报告。
克隆仓库：git clone https://github.com/sickn33/agentic-awesome-skills.git
将 "skills/clarity-gate" 文件夹复制到 Cursor 的 skills 目录中。
重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

安装前请先查看来源仓库和风险报告。
从源仓库下载 SKILL.md 及相关文件。
在 Cursor 的 skills 目录中创建新文件夹。
将所有 skill 文件复制到新文件夹中。
重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

安装前请先查看来源仓库和风险报告。
克隆仓库：git clone https://github.com/sickn33/agentic-awesome-skills.git
将 "skills/clarity-gate" 文件夹复制到 GitHub Copilot 的 skills 目录中。
重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

安装前请先查看来源仓库和风险报告。
从源仓库下载 SKILL.md 及相关文件。
在 GitHub Copilot 的 skills 目录中创建新文件夹。
将所有 skill 文件复制到新文件夹中。
重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

安装前请先查看来源仓库和风险报告。
克隆仓库：git clone https://github.com/sickn33/agentic-awesome-skills.git
将 "skills/clarity-gate" 文件夹复制到 Windsurf 的 skills 目录中。
重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

安装前请先查看来源仓库和风险报告。
从源仓库下载 SKILL.md 及相关文件。
在 Windsurf 的 skills 目录中创建新文件夹。
将所有 skill 文件复制到新文件夹中。
重启 Windsurf 让新的 skill 生效。

查看 SKILL.md 原文

# agentskills.io compliant frontmatter
name: clarity-gate
risk: unknown
source: community
version: 2.1.3
description: >
  Pre-ingestion verification for epistemic quality in RAG systems.
  Ensures documents are properly qualified before entering knowledge bases.
  Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
author: Francesco Marinoni Moretto
license: CC-BY-4.0
repository: https://github.com/frmoretto/clarity-gate
triggers:
  - clarity gate
  - check for hallucination risks
  - can an LLM read this safely
  - review for equivocation
  - verify document clarity
  - pre-ingestion check
  - cgd verify
  - sot verify
capabilities:
  - document-verification
  - epistemic-quality
  - rag-preparation
  - cgd-generation
  - sot-validation
outputs:
  - type: cgd
    extension: .cgd.md
    spec: docs/CLARITY_GATE_FORMAT_SPEC.md
spec_version: "2.1"

Clarity Gate v2.1

Purpose: Pre-ingestion verification system that enforces epistemic quality before documents enter RAG knowledge bases. Produces Clarity-Gated Documents (CGD) compliant with the Clarity Gate Format Specification v2.1.

Core Question: "If another LLM reads this document, will it mistake assumptions for facts?"

Core Principle: "Detection finds what is; enforcement ensures what should be. In practice: find the missing uncertainty markers before they become confident hallucinations."

What's New in v2.1

Feature	Description
Claim Completion Status	PENDING/VERIFIED determined by field presence (no explicit status field)
Source Field Semantics	Actionable source (PENDING) vs. what-was-found (VERIFIED)
Claim ID Format Guidance	Hash-based IDs preferred, collision analysis for scale
Body Structure Requirements	HITL Verification Record section mandatory when claims exist
New Validation Codes	E-ST10, W-ST11, W-HC01, W-HC02, E-SC06 (FORMAT_SPEC); E-TB01-07 (SOT validation)
Bundled Scripts	`claim_id.py` and `document_hash.py` for deterministic computations

Specifications

This skill implements and references:

Specification	Version	Location
Clarity Gate Format (Unified)	v2.1	docs/CLARITY_GATE_FORMAT_SPEC.md

Note: v2.0 unifies CGD and SOT into a single .cgd.md format. SOT is now a CGD with an optional tier: block.

Validation Codes

Clarity Gate defines validation codes for structural and semantic checks per FORMAT_SPEC v2.1:

HITL Claim Validation (§1.3.2-1.3.3)

Code	Check	Severity
W-HC01	Partial `confirmed-by`/`confirmed-date` fields	WARNING
W-HC02	Vague source (e.g., "industry reports", "TBD")	WARNING
E-SC06	Schema error in `hitl-claims` structure	ERROR

Body Structure (§1.2.1)

Code	Check	Severity
E-ST10	Missing `## HITL Verification Record` when claims exist	ERROR
W-ST11	Table rows don't match `hitl-claims` count	WARNING

SOT Table Validation (§3.1)

Code	Check	Severity
E-TB01	No `## Verified Claims` section	ERROR
E-TB02	Table has no data rows	ERROR
E-TB03	Required columns missing	ERROR
E-TB04	Column order wrong	ERROR
E-TB05	Empty cell in required column	ERROR
E-TB06	Invalid date format in Verified column	ERROR
E-TB07	Verified date in future (beyond 24h grace)	ERROR

Note: Additional validation codes may be defined in RFC-001 (clarification document) but are not part of the normative FORMAT_SPEC.

Bundled Scripts

This skill includes Python scripts for deterministic computations per FORMAT_SPEC.

scripts/claim_id.py

Computes stable, hash-based claim IDs for HITL tracking (per §1.3.4).

# Generate claim ID
python scripts/claim_id.py "Base price is $99/mo" "api-pricing/1"
# Output: claim-75fb137a

# Run test vectors
python scripts/claim_id.py --test

Algorithm:

Normalize text (strip + collapse whitespace)
Concatenate with location using pipe delimiter
SHA-256 hash, take first 8 hex chars
Prefix with "claim-"

Test vectors:

claim_id("Base price is $99/mo", "api-pricing/1") → claim-75fb137a
claim_id("The API supports GraphQL", "features/1") → claim-eb357742

scripts/document_hash.py

Computes document SHA-256 hash per FORMAT_SPEC §2.2-2.4 with full canonicalization.

# Compute hash
python scripts/document_hash.py my-doc.cgd.md
# Output: 7d865e959b2466918c9863afca942d0fb89d7c9ac0c99bafc3749504ded97730

# Verify existing hash
python scripts/document_hash.py --verify my-doc.cgd.md
# Output: PASS: Hash verified: 7d865e...

# Run normalization tests
python scripts/document_hash.py --test

Algorithm (per §2.2-2.4):

Extract content between opening ---\n and 
Remove document-sha256 line from YAML frontmatter ONLY (with multiline continuation support)
Canonicalize:
- Strip trailing whitespace per line
- Collapse 3+ consecutive newlines to 2
- Normalize final newline (exactly 1 LF)
- UTF-8 NFC normalization
Compute SHA-256

Cross-platform normalization:

BOM removed if present
CRLF to LF (Windows)
CR to LF (old Mac)
Boundary detection (prevents hash computation on content outside CGD structure)
Whitespace variations produce identical hashes (deterministic across platforms)

The Key Distinction

Existing tools like UnScientify and HedgeHunter (CoNLL-2010) detect uncertainty markers already present in text ("Is uncertainty expressed?").

Clarity Gate enforces their presence where epistemically required ("Should uncertainty be expressed but isn't?").

Tool Type	Question	Example
Detection	"Does this text contain hedges?"	UnScientify/HedgeHunter find "may", "possibly"
Enforcement	"Should this claim be hedged but isn't?"	Clarity Gate flags "Revenue will be $50M"

Critical Limitation

Clarity Gate verifies FORM, not TRUTH.

This skill checks whether claims are properly marked as uncertain—it cannot verify if claims are actually true.

Risk: An LLM can hallucinate facts INTO a document, then "pass" Clarity Gate by adding source markers to false claims.

Solution: HITL (Human-In-The-Loop) verification is MANDATORY before declaring PASS.

When to Use

Before ingesting documents into RAG systems
Before sharing documents with other AI systems
After writing specifications, state docs, or methodology descriptions
When a document contains projections, estimates, or hypotheses
Before publishing claims that haven't been validated
When handing off documentation between LLM sessions

The 9 Verification Points

Relationship to Spec Suite

The 9 Verification Points guide semantic review — content quality checks that require judgment (human or AI). They answer questions like "Should this claim be hedged?" and "Are these numbers consistent?"

When review completes, output a CGD file conforming to CLARITY_GATE_FORMAT_SPEC.md. The C/S rules in CLARITY_GATE_FORMAT_SPEC.md validate file structure, not semantic content.

The connection:

Semantic findings (9 points) determine what issues exist
Issues are recorded in CGD state fields (clarity-status, hitl-status, hitl-pending-count)
State consistency is enforced by structural rules (C7-C10)

Example: If Point 5 (Data Consistency) finds conflicting numbers, you'd mark clarity-status: UNCLEAR until resolved. Rule C7 then ensures you can't claim REVIEWED while still UNCLEAR.

Epistemic Checks (Core Focus: Points 1-4)

1. HYPOTHESIS vs FACT LABELING Every claim must be clearly marked as validated or hypothetical.

Fails	Passes
"Our architecture outperforms competitors"	"Our architecture outperforms competitors [benchmark data in Table 3]"
"The model achieves 40% improvement"	"The model achieves 40% improvement [measured on dataset X]"

Fix: Add markers: "PROJECTED:", "HYPOTHESIS:", "UNTESTED:", "(estimated)", "~", "?"

2. UNCERTAINTY MARKER ENFORCEMENT Forward-looking statements require qualifiers.

Fails	Passes
"Revenue will be $50M by Q4"	"Revenue is projected to be $50M by Q4"
"The feature will reduce churn"	"The feature is expected to reduce churn"

Fix: Add "projected", "estimated", "expected", "designed to", "intended to"

3. ASSUMPTION VISIBILITY Implicit assumptions that affect interpretation must be explicit.

Fails	Passes
"The system scales linearly"	"The system scales linearly [assuming <1000 concurrent users]"
"Response time is 50ms"	"Response time is 50ms [under standard load conditions]"

Fix: Add bracketed conditions: "[assuming X]", "[under conditions Y]", "[when Z]"

4. AUTHORITATIVE-LOOKING UNVALIDATED DATA Tables with specific percentages and checkmarks look like measured data.

Red flag: Tables with specific numbers (89%, 95%, 100%) without sources

Fix: Add "(guess)", "(est.)", "?" to numbers. Add explicit warning: "PROJECTED VALUES - NOT MEASURED"

Data Quality Checks (Complementary: Points 5-7)

5. DATA CONSISTENCY Scan for conflicting numbers, dates, or facts within the document.

Red flag: "500 users" in one section, "750 users" in another

Fix: Reconcile conflicts or explicitly note the discrepancy with explanation.

6. IMPLICIT CAUSATION Claims that imply causation without evidence.

Red flag: "Shorter prompts improve response quality" (plausible but unproven)

Fix: Reframe as hypothesis: "Shorter prompts MAY improve response quality (hypothesis, not validated)"

7. FUTURE STATE AS PRESENT Describing planned/hoped outcomes as if already achieved.

Red flag: "The system processes 10,000 requests per second" (when it hasn't been built)

Fix: Use future/conditional: "The system is DESIGNED TO process..." or "TARGET: 10,000 rps"

Verification Routing (Points 8-9)

8. TEMPORAL COHERENCE Document dates and timestamps must be internally consistent and plausible.

Fails	Passes
"Last Updated: December 2024" (when current is 2026)	"Last Updated: January 2026"
v1.0.0 dated 2024-12-23, v1.1.0 dated 2024-12-20	Versions in chronological order

Sub-checks:

Document date vs current date
Internal chronology (versions, events in order)
Reference freshness ("current", "now", "today" claims)

Fix: Update dates, add "as of [date]" qualifiers, flag stale claims

9. EXTERNALLY VERIFIABLE CLAIMS Specific numbers that could be fact-checked should be flagged for verification.

Type	Example	Risk
Pricing	"Costs ~$0.005 per call"	API pricing changes
Statistics	"Papers average 15-30 equations"	May be wildly off
Rates/ratios	"40% of researchers use X"	Needs citation
Competitor claims	"No competitor offers Y"	May be outdated

Fix options:

Add source with date
Add uncertainty marker
Route to HITL or external search
Generalize ("low cost" instead of "$0.005")

The Verification Hierarchy

Claim Extracted --> Does Source of Truth Exist?
                           |
           +---------------+---------------+
           YES                             NO
           |                               |
   Tier 1: Automated              Tier 2: HITL
   Consistency & Verification     Two-Round Verification
           |                               |
   PASS / BLOCK                   Round A → Round B → APPROVE / REJECT

Tier 1: Automated Verification

A. Internal Consistency

Figure vs. Text contradictions
Abstract vs. Body mismatches
Table vs. Prose conflicts
Numerical consistency

B. External Verification (Extension Interface)

User-provided connectors to structured sources
Financial systems, Git commits, CRM, etc.

Tier 2: Two-Round HITL Verification — MANDATORY

Round A: Derived Data Confirmation

Claims from sources found in session
Human confirms interpretation, not truth

Round B: True HITL Verification

Claims needing actual verification
No source found, human's own data, extrapolations

CGD Output Format

When producing a Clarity-Gated Document, use this format per CLARITY_GATE_FORMAT_SPEC.md v2.1:

---
clarity-gate-version: 2.1
processed-date: 2026-01-12
processed-by: Claude + Human Review
clarity-status: CLEAR
hitl-status: REVIEWED
hitl-pending-count: 0
points-passed: 1-9
rag-ingestable: true          # computed by validator - do not set manually
document-sha256: 7d865e959b2466918c9863afca942d0fb89d7c9ac0c99bafc3749504ded97730
hitl-claims:
  - id: claim-75fb137a
    text: "Revenue projection is $50M"
    value: "$50M"
    source: "Q3 planning doc"
    location: "revenue-projections/1"
    round: B
    confirmed-by: Francesco
    confirmed-date: 2026-01-12
---

# Document Title

[Document body with epistemic markers applied]

Claims like "Revenue will be $50M" become "Revenue is **projected** to be $50M *(unverified projection)*"

---

## HITL Verification Record

### Round A: Derived Data Confirmation
- Claim 1 (source) ✓
- Claim 2 (source) ✓

### Round B: True HITL Verification
| # | Claim | Status | Verified By | Date |
|---|-------|--------|-------------|------|
| 1 | [claim] | ✓ Confirmed | [name] | [date] |

<!-- CLARITY_GATE_END -->
Clarity Gate: CLEAR | REVIEWED

Required CGD Elements (per spec):

YAML frontmatter with all required fields:
- clarity-gate-version — Tool version (no "v" prefix)
- processed-date — YYYY-MM-DD format
- processed-by — Processor name
- clarity-status — CLEAR or UNCLEAR
- hitl-status — PENDING, REVIEWED, or REVIEWED_WITH_EXCEPTIONS
- hitl-pending-count — Integer ≥ 0
- points-passed — e.g., 1-9 or 1-4,7,9
- hitl-claims — List of verified claims (may be empty [])

End marker (HTML comment + status line):

<!-- CLARITY_GATE_END -->
Clarity Gate: <clarity-status> | <hitl-status>

HITL verification record (if status is REVIEWED)

Optional/Computed Fields:

rag-ingestable — Computed by validators, not manually set. Shows true only when CLEAR | REVIEWED with no exclusion blocks.
document-sha256 — Required. 64-char lowercase hex hash for integrity verification. See spec §2 for computation rules.
exclusions-coverage — Optional. Fraction of body inside exclusion blocks (0.0–1.0).

Escape Mechanism: To write about markers like *(estimated)* without triggering parsing, wrap in backticks: `*(estimated)*`

Claim Completion Status (v2.1)

Claim verification status is determined by field presence, not an explicit status field:

State	`confirmed-by`	`confirmed-date`	Meaning
PENDING	absent	absent	Awaiting human verification
VERIFIED	present	present	Human has confirmed
(invalid)	present	absent	W-HC01: partial fields
(invalid)	absent	present	W-HC01: partial fields

Why no explicit status field? Field presence is self-enforcing—you can't accidentally set status without providing who/when.

Source Field Semantics (v2.1)

The source field meaning changes based on claim state:

State	`source` Contains	Example
PENDING	Where to verify (actionable)	`"Check Q3 planning doc"`
VERIFIED	What was found (evidence)	`"Q3 planning doc, page 12"`

Vague source detection (W-HC02): Sources like "industry reports", "research", "TBD" trigger warnings.

Claim ID Format (v2.1)

General pattern: claim-[a-z0-9._-]{1,64} (alphanumeric, dots, underscores, hyphens)

Approach	Pattern	Example	Use Case
Hash-based (preferred)	`claim-[a-f0-9]{8,}`	`claim-75fb137a`	Deterministic, collision-resistant
Sequential	`claim-[0-9]+`	`claim-1`, `claim-2`	Simple documents
Semantic	`claim-[a-z0-9-]+`	`claim-revenue-q3`	Human-friendly

Collision probability: At 1,000 claims with 8-char hex IDs: ~0.012%. For >1,000 claims, use 12+ hex characters.

Recommendation: Use hash-based IDs generated by scripts/claim_id.py for consistency and collision resistance.

Exclusion Blocks

When content cannot be resolved (no SME available, legacy prose, etc.), mark it as excluded rather than leaving it ambiguous:

<!-- CG-EXCLUSION:BEGIN id=auth-legacy-1 -->
Legacy authentication details that require SME review...
<!-- CG-EXCLUSION:END id=auth-legacy-1 -->

Rules:

IDs must match: [A-Za-z0-9][A-Za-z0-9._-]{0,63}
No nesting or overlapping blocks
Each ID used only once
Requires hitl-status: REVIEWED_WITH_EXCEPTIONS
Must document exceptions-reason and exceptions-ids in frontmatter

Important: Documents with exclusion blocks are not RAG-ingestable. They're rejected entirely (no partial ingestion).

See CLARITY_GATE_FORMAT_SPEC.md §4 for complete rules.

SOT Validation

When validating a Source of Truth file, the skill checks both format compliance (per CLARITY_GATE_FORMAT_SPEC.md) and content quality (the 9 points).

Format Compliance (Structural Rules)

SOT documents are CGDs with a tier: block. They require a ## Verified Claims section with a valid table.

Code	Check	Severity
E-TB01	No `## Verified Claims` section	ERROR
E-TB02	Table has no data rows	ERROR
E-TB03	Required columns missing (Claim, Value, Source, Verified)	ERROR
E-TB04	Column order wrong (Claim not first or Verified not last)	ERROR
E-TB05	Empty cell in required column	ERROR
E-TB06	Invalid date format in Verified column	ERROR
E-TB07	Verified date in future (beyond 24h grace)	ERROR

Content Quality (9 Points)

The 9 Verification Points apply to SOT content:

Point	SOT Application
1-4	Check claims in `## Verified Claims` are actually verified
5	Check for conflicting values across tables
6	Check claims don't imply unsupported causation
7	Check table doesn't state futures as present
8	Check dates are chronologically consistent
9	Flag specific numbers for external check

SOT-Specific Requirements

Tier block required: SOT is a CGD with tier: block containing level, owner, version, promoted-date, promoted-by
Structured claims table: ## Verified Claims section with columns: Claim, Value, Source, Verified
Table outside exclusions: The verified claims table must NOT be inside an exclusion block
Staleness markers: Use [STABLE], [CHECK], [VOLATILE], [SNAPSHOT] in content
- [STABLE] — Safe to cite without rechecking
- [CHECK] — Verify before citing
- [VOLATILE] — Changes frequently; always verify
- [SNAPSHOT] — Point-in-time data; include date when citing

Output Format

After running Clarity Gate, report:

## Clarity Gate Results

**Document:** [filename]
**Issues Found:** [number]

### Critical (will cause hallucination)
- [issue + location + fix]

### Warning (could cause equivocation)  
- [issue + location + fix]

### Temporal (date/time issues)
- [issue + location + fix]

### Externally Verifiable Claims
| # | Claim | Type | Suggested Verification |
|---|-------|------|------------------------|
| 1 | [claim] | Pricing | [where to verify] |

---

## Round A: Derived Data Confirmation

- [claim] ([source])

Reply "confirmed" or flag any I misread.

---

## Round B: HITL Verification Required

| # | Claim | Why HITL Needed | Human Confirms |
|---|-------|-----------------|----------------|
| 1 | [claim] | [reason] | [ ] True / [ ] False |

---

**Would you like me to produce an annotated CGD version?**

---

**Verdict:** PENDING CONFIRMATION

Severity Levels

Level	Definition	Action
CRITICAL	LLM will likely treat hypothesis as fact	Must fix before use
WARNING	LLM might misinterpret	Should fix
TEMPORAL	Date/time inconsistency detected	Verify and update
VERIFIABLE	Specific claim that could be fact-checked	Route to HITL or external search
ROUND A	Derived from witnessed source	Quick confirmation
ROUND B	Requires true verification	Cannot pass without confirmation
PASS	Clearly marked, no ambiguity, verified	No action needed

Quick Scan Checklist

Pattern	Action
Specific percentages (89%, 73%)	Add source or mark as estimate
Comparison tables	Add "PROJECTED" header
"Achieves", "delivers", "provides"	Use "designed to", "intended to" if not validated
Checkmarks	Verify these are confirmed
"100%" anything	Almost always needs qualification
"Last Updated: [date]"	Check against current date
Version numbers with dates	Verify chronological order
"$X.XX" or "~$X" (pricing)	Flag for external verification
"averages", "typically"	Flag for source/citation
Competitor capability claims	Flag for external verification

What This Skill Does NOT Do

Does not classify document types (use Stream Coding for that)
Does not restructure documents
Does not add deep links or references
Does not evaluate writing quality
Does not check factual accuracy autonomously (requires HITL)

Related Projects

Project	Purpose	URL
Source of Truth Creator	Create epistemically calibrated docs	github.com/frmoretto/source-of-truth-creator
Stream Coding	Documentation-first methodology	github.com/frmoretto/stream-coding
ArXiParse	Scientific paper verification	arxiparse.org

Changelog

v2.1.3 (2026-03-02)

FIXED: document_hash.py now implements full FORMAT_SPEC §2.1-2.4 compliance
FIXED: Fence-aware end marker detection (Quine Protection per §2.3/§8.5)
FIXED: All 4 deployment copies converged to single canonical implementation
ADDED: canonicalize() function: trailing whitespace stripping, newline collapsing, NFC normalization
ADDED: YAML-aware document-sha256 removal with multiline continuation support (§2.2)
ADDED: Fence-tracking test vectors (7 new tests, 15 total)

v2.1.0 (2026-01-27)

ADDED: Claim Completion Status semantics (PENDING/VERIFIED by field presence)
ADDED: Source Field Semantics (actionable vs. what-was-found)
ADDED: Claim ID Format guidance with collision analysis
ADDED: Body Structure Requirements (HITL Verification Record mandatory when claims exist)
ADDED: New validation codes: E-ST10, W-ST11, W-HC01, W-HC02, E-SC06 (FORMAT_SPEC §1.2-1.3)
ADDED: Bundled scripts: claim_id.py, document_hash.py
UPDATED: References to FORMAT_SPEC v2.1
UPDATED: CGD output example to version 2.1

v2.0.0 (2026-01-13)

ADDED: agentskills.io compliant YAML frontmatter
ADDED: Clarity Gate Format Specification v2.0 compliance (unified CGD/SOT)
ADDED: SOT validation support with E-TB* error codes
ADDED: Validation rules mapping (9 points → rule codes)
ADDED: CGD output format template with  markers
ADDED: Quine Protection note (§2.3 fence-aware marker detection)
ADDED: Redacted Export feature (§8.11)
UPDATED: hitl-claims format to v2.0 schema (id, text, value, source, location, round)
UPDATED: End marker format to HTML comment style
UPDATED: Unified format spec v2.0 (single .cgd.md extension)
RESTRUCTURED: For multi-platform skill discovery

v1.6 (2025-12-31)

Added Two-Round HITL verification system
Round A: Derived Data Confirmation
Round B: True HITL Verification

v1.5 (2025-12-28)

Added Point 8: Temporal Coherence
Added Point 9: Externally Verifiable Claims

v1.4 (2025-12-23)

Added CGD annotation output mode

v1.3 (2025-12-21)

Restructured points into Epistemic (1-4) and Data Quality (5-7)

v1.2 (2025-12-21)

Added Source of Truth request step

v1.1 (2025-12-21)

Added HITL Fact Verification (mandatory)

v1.0 (2025-11)

Initial release with 6-point verification

Version: 2.1.3 Spec Version: 2.1 Author: Francesco Marinoni Moretto License: CC-BY-4.0

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