复制安装命令
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A model-agnostic agent-skills platform.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support.
Version semantics: the release badge is this marketplace's display version. npm packages, including the
ccpiCLI and publishable plugins, retain their own package versions; they are intentionally not expected to equal the display version. The version-surface checker governs the display surfaces without rewriting package semver.
Inside Claude Code, one command installs the whole marketplace:
/plugin marketplace add jeremylongshore/claude-code-plugins
Or use the CLI:
pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack
Browse the marketplace · Explore plugins · Download bundles
Killer Skill of the Week — no-ai-slop by Peter Yang
Strip AI slop from any draft — named-pattern edits that keep the writer's real voice
no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.
"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang
Grade: A | Week of July 22, 2026 (W30) | View on GitHub
Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.
Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."
| Count | Cohort | Reproduce with |
|---|---|---|
| 442 | catalog plugins (catalog-entry cohort) | node scripts/generate-readme-toc.mjs over marketplace.extended.json |
| 3,067 | marketplace-visible skills (distinct) | node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))" |
| 347 | agent definitions in plugins | git ls-files 'plugins/**' | grep '/agents/.*\.md' |
| 19 | plugin categories | ls -d plugins/*/ |
Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.
| Window | All packages | Established (>30d) |
|---|---|---|
| Last 24 hours | 962 | 962 |
| Last 7 days | 2,920 | 2,916 |
| Last 30 days | 12,868 | 12,779 |
"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.
Top 10 by last 30 days:
Last refreshed 2026-08-19T03:03:05.709Z.
Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:
The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).
| Category | Plugins | |
|---|---|---|
| 🤖 | AI & Machine Learning | 36 |
| 🎭 | AI Agents & Agency | 10 |
| 🔌 | API Development | 26 |
| 💼 | Business Tools | 6 |
| 👥 | Community | 21 |
| ₿ | Crypto & Web3 | 27 |
| 💾 | Database | 26 |
| 🎨 | Design | 2 |
| 🔧 | DevOps & Infrastructure | 36 |
| 📚 | Examples & Templates | 5 |
| 🧩 | MCP Servers | 16 |
| 📦 | Packages | 5 |
| ⚡ | Performance | 25 |
| ✅ | Productivity | 30 |
| 🎁 | SaaS Skill Packs | 106 |
| 🔐 | Security | 27 |
| ✨ | Skill Enhancers | 9 |
| 🧪 | Testing | 28 |
| 📁 | Analytics | 1 |
Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:
| Class | What it is | How the reader can tell |
|---|---|---|
| Canonical skill | First-party, harness-free, the source of truth | No .source.json in its plugin directory |
| Generated adapter | A thin, machine-produced harness projection | Lives under a generated path with a "generated — do not edit" header |
| First-party package | An Intent Solutions distribution (npm, cowork zip) | @intentsolutionsio scope, IS-authored license |
| Upstream mirror | Somebody else's work, hosted mirror-by-default | .source.json present — upstream author, license, and pinned commit recorded |
Not yet certified. The certification program (tiers T0–T4 with retained, hash-matched evidence) is a later epic of the platform blueprint; until its report exists, no artifact on this surface claims a tier. This line is rendered from the absence of certification-report.json — honestly, not cosmetically.
Start with the contribution guide, then the intake and review standards every submission passes through:
External plugins are hosted mirror-by-default: the contributor's repository stays the source of truth, every mirrored source is pinned in a content lockfile, and upstream credit — author, license, resolved commit — is recorded in the mirror itself. Improvements flow by upstreaming to the author's repository, never by silently editing the mirror. The full decision record is the external-sync model.
MIT for the repository scaffolding and first-party tooling; each plugin carries its own license in its manifest, and mirrored plugins keep their upstream license verbatim.
name: cursor-prod-checklist
description: 'Production readiness checklist for Cursor IDE setup: security, rules,
indexing, privacy, and team
standards. Triggers on "cursor production", "cursor ready", "cursor checklist",
"optimize cursor setup",
"cursor onboarding".
'
allowed-tools: Read, Write, Edit, Bash(cmd:*)
version: 1.18.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- cursor
- cursor-prod
compatibility: Designed for Claude CodeUse this gate before enabling Cursor for a production repository or team workflow. It verifies governance, context controls, review, and incident ownership—not the correctness of any generated code.
| Failed gate | Required action |
|---|---|
| Privacy or data routing unclear | Block enablement and obtain a documented security/privacy decision. |
| Excluded path appears in context | Stop pilot, repair exclusions, and assess exposure. |
| Review/test workflow is absent | Do not enable use for production changes. |
Pilot one repository with Privacy Mode, SSO, reviewed .cursorignore, and a pull-request review requirement. Verify a sample sensitive path cannot be added to context before signing off the production checklist.
Comprehensive checklist for configuring Cursor IDE for production use. Covers security hardening, project rules, indexing optimization, privacy settings, and team standardization.
[ ] All team members authenticated with correct plan (Pro/Business/Enterprise)
[ ] SSO configured (Business/Enterprise) -- see cursor-sso-integration skill
[ ] Privacy Mode enabled (enforced at team level for Business+)
[ ] Verify plan at cursor.com/settings
[ ] .cursor/rules/ directory created and committed to git
[ ] Core project rule with alwaysApply: true (stack, conventions, standards)
[ ] Language-specific rules with glob patterns (*.ts, *.py, etc.)
[ ] Security rule: "Never suggest hardcoded credentials or secrets"
[ ] No sensitive data (API keys, passwords) in any rule file
Minimum viable rule set:
# .cursor/rules/project.mdc
---
description: "Core project context"
globs: ""
alwaysApply: true
---
# Project: [Name]
Stack: [framework, language, database, etc.]
Package manager: [npm/pnpm/yarn]
## Conventions
- [your team conventions here]
- Never commit console.log statements
- All functions require TypeScript return types
- Use Conventional Commits format
# .cursor/rules/security.mdc
---
description: "Security constraints for AI-generated code"
globs: ""
alwaysApply: true
---
# Security Rules
- NEVER hardcode API keys, passwords, or secrets in code
- NEVER disable HTTPS/TLS verification
- ALWAYS use parameterized queries (no string concatenation for SQL)
- ALWAYS validate and sanitize user input
- Use environment variables for all configuration values
[ ] .cursorignore created at project root
[ ] Excluded: node_modules/, dist/, build/, .next/, vendor/
[ ] Excluded: *.min.js, *.map, *.lock, *.sqlite
[ ] Excluded: .env*, secrets/, credentials/
[ ] .cursorindexingignore created for large-but-useful files
[ ] Verified indexing completes (status bar shows "Indexed")
[ ] Tested @Codebase queries return relevant results
[ ] Privacy Mode: ON (Cursor Settings > General > Privacy Mode)
[ ] Verified: cursor.com/settings shows "Privacy Mode: Enabled"
[ ] .cursorignore covers all files with PII or regulated data
[ ] API keys (if BYOK) stored in Cursor settings, NOT in project files
[ ] Team members briefed: AI output is a draft, not production-ready code
[ ] Default model set (Cursor Settings > Models)
[ ] BYOK configured if required by team (see cursor-api-key-management skill)
[ ] Auto mode evaluated vs fixed model selection
[ ] Tab completion enabled and tested
[ ] Conflicting extensions disabled (Copilot, TabNine, Codeium)
[ ] .cursor/rules/ committed to git (team shares rules)
[ ] .cursorignore committed to git
[ ] .cursorindexingignore committed to git
[ ] AI-generated commit messages reviewed before pushing
[ ] Pre-commit hooks run (linting, tests) regardless of AI-generated code
# Cursor IDE Onboarding
## Setup (15 minutes)
1. Download Cursor from cursor.com/download
2. Sign in with your @company.com email (SSO will redirect)
3. Open our project repository in Cursor
4. Wait for indexing to complete (status bar)
## Daily Workflow
- Cmd+L (Chat): Ask questions, plan features
- Cmd+K (Inline Edit): Fix/refactor selected code
- Cmd+I (Composer): Multi-file changes
- Tab: Accept AI completions while typing
## Our Rules
- Project rules are in .cursor/rules/ -- read them
- Always review AI-generated code before committing
- Start new chats for new tasks (don't continue stale conversations)
- Use @Files for specific context, @Codebase for discovery
## Prohibited
- Do NOT paste credentials into Chat/Composer
- Do NOT disable Privacy Mode
- Do NOT commit AI-generated code without review and testing
| Task | Frequency | How |
|---|---|---|
| Review and update project rules | Monthly | Audit .cursor/rules/ for stale info |
| Verify Privacy Mode enforcement | Quarterly | Admin dashboard or Cursor Settings |
| Rotate API keys (BYOK) | Quarterly | Provider console + Cursor Settings |
| Update .cursorignore | When project structure changes | Add new build/data directories |
| Review extension list | Monthly | Disable unused, check for conflicts |
| Cursor version update | As released | Help > Check for Updates |
| Team onboarding doc update | When workflow changes | Keep setup steps current |
| Anti-Pattern | Risk | Fix |
|---|---|---|
| No .cursor/rules/ | AI generates inconsistent code | Create rules with team conventions |
| No .cursorignore | Secrets indexed, large files slow indexing | Add comprehensive ignore patterns |
| Privacy Mode off | Code stored by model providers | Enable at team level (admin dashboard) |
| One giant conversation | Context overflow, bad suggestions | Start new chat per task |
| Blind "Apply All" | Bugs, wrong patterns committed | Review every diff before applying |
| No pre-commit hooks | AI-generated bugs reach main branch | Enforce lint + test hooks |
.cursor/rules/ changes like infrastructure changes -- PR and review
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