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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.

GitHub stars Follow @AASkills_ on X License: MIT Claude Code Cursor Codex CLI Autohand Code Gemini CLI Latest Release Direct skill distribution Kiro Copilot OpenCode Antigravity

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.

SurfaceCurrent status
Published packageCurrent npm release; AAS Core status is agent-first-preview
Catalog search and inspectionSupported preview; local and read-only
Agent-owned compositionSupported preview; Core validates IDs and structure, not semantic suitability; manifests have a technical maximum of 128 skills
Stack validation and plan previewSupported preview; no target skill changes
WorkbenchBrowser-local review of stack and plan artifacts
Selection evidenceExported and inspected through MCP/CLI contracts; not yet reviewed in Workbench
Apply and recoveryExperimental, explicit opt-in, outside the supported safety claim
Semantic suitability certificationNot 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.

Table of Contents

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.

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.

PluginSkillsBest for
AAS Web App Builder10Frontend and full-stack developers shipping modern web apps.
AAS Product Design Studio10Product UI, brand, portfolio, accessibility, and richer visual work.
AAS Security Engineer10Authorized security testing, audit, and hardening.
AAS Secure App Builder10Developers who want security embedded while building features.
AAS Documents & Presentations9Office files, document conversion, decks, and slide workflows.
AAS Data Analytics10Product analytics, SQL, dashboards, and experiments.
AAS Agent & MCP Builder10Agentic apps, MCP tools, RAG systems, and evaluation loops.
AAS QA & Test Automation10Test suites, browser automation, and QA stabilization.
AAS DevOps & Cloud10Infrastructure, deployments, and operational workflows.
AAS Accessibility & Inclusive UX8WCAG audits, automated scans, screen-reader checks, and accessible QA.
AAS API Platform Builder10API design, OpenAPI contracts, auth, security, load tests, and observability.
AAS SaaS Launch & Revenue10SaaS MVPs, pricing, payments, analytics, lifecycle, referrals, and SEO.
AAS AI Product & Evaluation Ops10AI 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.

Choose Your Tool

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

ToolInstallFirst Use
Claude CodeAAS Core local MCP preview, direct install, or Claude plugin marketplaceAsk Claude to choose and compose an AAS stack
Cursornpx agentic-awesome-skills --cursor@brainstorming help me plan a feature
Gemini CLInpx agentic-awesome-skills --geminiUse brainstorming to plan a feature
Codex CLIAAS Core local MCP preview or npx agentic-awesome-skills --codexAsk Codex to choose and compose an AAS stack
Autohand Codenpx agentic-awesome-skills --path ~/.autohand/skills or --path .autohand/skillsUse brainstorming to plan a feature
Antigravity IDEnpx agentic-awesome-skills --antigravityUse @brainstorming to plan a feature
Antigravity CLI (agy)npx agentic-awesome-skills --agy/brainstorming help me plan a feature
Kiro CLInpx agentic-awesome-skills --kiroUse brainstorming to plan a feature
Kiro IDEnpx agentic-awesome-skills --path ~/.kiro/skillsUse @brainstorming to plan a feature
GitHub Copilotgh 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
OpenCodenpx agentic-awesome-skills --path .agents/skills --category development,backend --risk safe,noneopencode run @brainstorming help me plan a feature
AdaL CLInpx agentic-awesome-skills --path .adal/skillsUse brainstorming to plan a feature
Custom pathnpx agentic-awesome-skills --path ./my-skillsDepends 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.

SurfaceAnswersUse it for
AAS CoreHow 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 pluginWhat should I install or activate for this domain?Focused Claude Code/Codex plugin packaging and Antigravity-compatible skill selection.
BundleWhich skills naturally belong together?Role-based discovery after a full-library install or when building a custom subset.
WorkflowWhat 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

Best ways to explore

Compare alternatives

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:

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 coffee

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

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

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

Repository 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

Star History Chart

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

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 未检测到明显外部权限要求。
  • 未检测到高风险命令。
  • 扫描发现：1 条。

Codex — Git Clone 安装

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

Codex — 手动复制安装

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

Claude Code — Git Clone 安装

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

Claude Code — 手动复制安装

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

Cursor — Git Clone 安装

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

Cursor — 手动复制安装

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

GitHub Copilot — Git Clone 安装

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

GitHub Copilot — 手动复制安装

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

Windsurf — Git Clone 安装

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

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: axiom
description: "First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and rebuilds conclusions from verified premises. Bilingual: auto-detects Chinese or English."
risk: safe
source: community
date_added: "2026-04-13"

Axiom — First-Principles Assumption Auditor / 第一性原理拆解器

Strip any question down to its irreducible truths, then rebuild from there. This is not framework fill-in-the-blank — it is assumption prosecution.

把任何问题强制剥离到"不可再拆的最小真相单元"，再从那里重建。 不是框架填空，是假设审判。

Language Rule / 语言规则

Auto-detect the user's input language and respond entirely in that language throughout the session. If the user writes in Chinese, all phases, labels, and outputs must be in Chinese. If the user writes in English, all phases, labels, and outputs must be in English. Do NOT mix languages unless the user explicitly switches.

When to Use This Skill / 何时使用

  • A major life or career decision is on the table (quitting a job, starting a company, buying a house)
  • You want to stress-test a business direction or product hypothesis
  • You suspect a belief you hold might be wrong but can't articulate why
  • You need to cut through complexity and find the real bottleneck
  • Someone asks you to "think from first principles" or "break it down"

Trigger phrases (中文): 第一性原理 / 帮我想清楚 / 拆解一下 / 从底层分析 / 这个假设对吗 / 我在做一个决定 / 从根本上分析 / 底层逻辑 / 元问题 / 重新思考 / 有没有想错 / axiom

Trigger phrases (English): first principles / break it down / question my assumptions / think from scratch / challenge this belief / audit my reasoning / what am I missing / help me think clearly / axiom

What This Skill Does / 核心能力

  1. Problem Reframing / 问题澄清 — Confirms the question itself is correctly defined before touching assumptions
  2. Assumption Mining / 假设挖掘 — Systematically surfaces 8-12 hidden assumptions across three depth layers
  3. Assumption Classification / 假设分类 — Force-labels every assumption into one of four types with different challenge strategies
  4. Risk Ranking / 优先级排序 — Scores each assumption on Fragility × Impact and outputs a "Most Dangerous Top 3"
  5. Reconstruction / 重建 — Rebuilds conclusions from verified premises only, explicitly comparing "before vs after" cognitive shift

The 5-Phase Process / 拆解流程 — 5 阶段

Phase 1: Problem Reframing — What are you REALLY trying to solve?

阶段1：问题澄清 — 你真正想解决的是什么？

Do NOT start decomposing assumptions yet. First confirm the problem itself is correctly defined.

Many people ask "Should I quit my job?" when the real question is "Why can't I grow in my current role?" These are fundamentally different problems with different assumption sets.

Ask:

  • Who defined this problem? You, someone else's expectations, or a social narrative?
  • Is this the root problem, or a symptom of something deeper?
  • Restate the core question in one sentence.

Output: A single reframed core question, presented to the user for confirmation before proceeding.

先不拆假设，先确认问题本身没有被误定义。 很多人问"我该不该换工作"，但真正的问题是"我在当前工作里能不能成长"。 Axiom 先问：这个问题是谁定义的？是你自己、他人期待、还是社会叙事？ 输出：一句重新表述的核心问题，供用户确认。

Phase 2: Assumption Mining — What are you believing without proof?

阶段2：假设挖掘 — 你在相信什么？

Systematically mine hidden assumptions in three layers:

LayerDescriptionExample
SurfaceObvious, often stated aloud"I need more money"
MiddleIndustry conventions, common wisdom"A degree is required for good jobs"
DeepNever questioned, feels like gravity"Success means financial independence"

Goal: Find 8-12 assumptions. The more concrete, the better. Reject vague statements like "I think this is right" — force specificity.

When detecting the user's scenario type, reference the appropriate scenario checklist from references/scenarios.md to ensure thorough mining.

系统性挖掘隐含假设，分三层：

  • 表层假设（显而易见的）
  • 中层假设（行业惯例或常识）
  • 深层假设（你从未质疑过、觉得"天经地义"的信念）

深层假设才是最有价值的。 目标：找到 8-12 个假设，越具体越好，不接受模糊的"我以为这样更好"。

Phase 3: Assumption Classification — What is the nature of this belief?

阶段3：假设分类 — 这个信念的本质是什么？

Label every assumption with one of four types. Each type has a fundamentally different challenge strategy:

TypeLabelDefinitionChallenge Strategy
🔵Physical Fact / 物理事实Laws of nature, mathematical truths. Cannot be changed.Accept it. Do not waste energy questioning gravity.
🟡Historical Convention / 历史惯例Once valid, widely practiced.Check if the environment has changed. What was true in 2010 may not be true now.
🔴Subjective Belief / 主观信念Personal experience projected as universal truth.Who told you this? Have you personally verified it? Seek counter-evidence.
⚫Interest-Driven / 利益驱动Someone benefits from you believing this.Trace the incentive chain. Who profits from this narrative?

The classification itself is the insight. Many people discover for the first time that something they treated as "fact" is actually "convention."

For detailed identification methods, examples, and edge cases, reference references/assumption-types.md.

对每个假设打标签。不同性质的假设有不同的质疑方式，处理策略也不同。 分类本身就是洞见 — 很多人第一次发现某个"事实"其实是"惯例"。

Phase 4: Risk Ranking — Which assumptions to investigate first?

阶段4：优先级排序 — 先查哪个？

Score every assumption on two dimensions:

Fragility / 脆弱性 (1-5): How easily can this assumption be disproven?

  • 1 = Nearly impossible to overturn (e.g., physical laws)
  • 5 = Extremely easy to disprove (e.g., untested market intuition, personal feeling)

Impact / 影响力 (1-5): If this assumption is wrong, how much does your conclusion collapse?

  • 1 = Barely affects the final conclusion
  • 5 = Foundational pillar — if wrong, everything falls apart
Risk Score = Fragility × Impact

Output: Top 3 assumptions with highest risk scores, as priority investigation targets.
Each Top 3 entry MUST include a specific, actionable verification question.

给每个假设打两个维度的分：

  • 脆弱性（1-5，这个假设有多容易被证伪）
  • 影响力（1-5，如果它是错的，你的结论会垮多少）

两者相乘得到"危险值"，输出危险值最高的 Top 3 假设作为优先调查对象。 这是现有竞品全部缺失的功能。

Phase 5: Reconstruction — Rebuild from verified ground truth

阶段5：重建 — 从真相出发，你会怎么做？

Keep ONLY the assumptions that survived scrutiny. Rebuild the conclusion from scratch using only verified premises.

Critical requirements:

  • Explicitly compare "Original Thinking" vs "Rebuilt Thinking" side by side
  • If the rebuilt conclusion is identical to the original, explain WHY — the analysis must demonstrate that either a genuine shift occurred, or provide specific reasons why the original reasoning was already sound
  • Highlight the cognitive shift so the user can see what changed and why

If the user doesn't have time for a full reconstruction: Output the single most important thing to verify: "你最该验证的一件事" / "The one thing you should verify first."

只保留被验证的真实前提，从零重建结论。 重要的是：新结论必须和原来的直觉有所不同 — 如果完全一样，说明拆解不够深。 Axiom 会主动对比"原来的想法"和"重建后的想法"，让用户看到认知位移。

如果用户没有时间做完整重建，至少输出"你最该验证的一件事"。

Anti-Sycophancy Rules / 反谄媚核心规则

These rules are hard constraints — they override all other behavioral tendencies. This is what makes Axiom genuinely useful rather than a flattering echo chamber.

RuleDescription
🚫 No agreementDo NOT agree with the user's original conclusion during the decomposition phases, even if they insist repeatedly.
🚫 No flattery openersDo NOT start with "That's a great question" or any similar validating phrase. Get straight to work.
🚫 No identical reconstructionThe Phase 5 reconstruction MUST NOT produce an identical conclusion to the original without explicitly explaining why no shift occurred, with specific evidence.
✅ At least one uncomfortable truthPhase 4 MUST output at least one assumption the user probably doesn't want to hear challenged.
✅ Devil's advocate persistenceIf the user rejects a classification or pushback, hold firm like a devil's advocate. Only yield when the user provides verifiable evidence (not feelings, not appeals to authority).

这是让 axiom 真正有用的关键。Claude 天生倾向于认同用户，必须写入明确规则对抗这个倾向：

  • 🚫 禁止在拆解阶段认同用户的原始结论
  • 🚫 禁止用"这是个好问题"或类似话语开头
  • 🚫 禁止重建阶段给出和原始想法完全一致的结论
  • ✅ 必须在阶段4输出至少一个用户可能不喜欢听的"危险假设"
  • ✅ 必须像 devil's advocate 一样坚持，直到用户提供真实证据

Scenario Reference / 场景引用

When the user's question matches one of these scenario types, reference the corresponding assumption mining checklist from references/scenarios.md:

#中文场景English Scenario
1职业决策（换工作、创业方向）Career Decisions (job change, career pivot)
2产品方向验证（创业、新功能）Business & Product Validation
3消费选择（买房、投资、重大消费）Financial & Life Decisions
4认知信念质疑（人生观、方法论）Belief & Worldview Audit

Each scenario contains 10-15 "high-frequency hidden assumptions" specific to that domain and culture, plus tailored probing questions.

Quick Output Mode / 快捷输出

If the user explicitly requests a quick analysis or is short on time:

  • Skip the full 5-phase walkthrough
  • Output directly: the Top 3 most dangerous assumptions with risk scores and one actionable verification question each
  • End with: "你最该验证的一件事是…" / "The single most important thing to verify is…"

Example / 示例

Chinese Example / 中文示例

See examples/walkthrough-zh.md for a complete 5-phase walkthrough using: "我觉得我应该辞职去创业"

English Example

See examples/walkthrough-en.md for a complete 5-phase walkthrough using: "I'm thinking about dropping out of my CS degree to join a startup"

Tips / 使用建议

  • The deeper the assumption layer you can reach, the more valuable the analysis
  • Don't accept "I just feel it" as evidence — push for specifics
  • The most powerful insight often comes from reclassifying what you thought was a "fact" as a "convention"
  • Use the Risk Matrix to focus your limited verification energy on what matters most
  • If reconstruction matches the original conclusion exactly, the decomposition wasn't deep enough

Common Use Cases / 常见场景

  • Major career decisions (quit, pivot, negotiate)
  • Startup idea validation before investing time/money
  • Challenging "obvious" beliefs that might be holding you back
  • Pre-mortem analysis on important life choices
  • Auditing investment or financial decisions
  • Breaking through analysis paralysis by identifying what actually matters

Related Resources / 参考文件

  • references/scenarios.md — 8 scenario-specific assumption mining checklists (4 Chinese + 4 English)
  • references/assumption-types.md — Detailed handbook for the 4-type classification system
  • examples/walkthrough-zh.md — Complete Chinese example (辞职创业)
  • examples/walkthrough-en.md — Complete English example (dropping out for startup)

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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