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SKILL verified MIT Self-run

Contributor Ready

skill-himanshu231204-agent-skills-contributor-ready · by himanshu231204

Transform any software repository into a contributor-friendly, production-ready open source project. Analyzes repo health, generates documentation, creates GitHub community files, identifies contribution opportunities, and produces a readiness report. Agent-independent and technology-agnostic.

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Install

$ agentstack add skill-himanshu231204-agent-skills-contributor-ready

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

contributor-ready

> The universal AI coding agent skill for preparing repositories for open source contributors.

Analyze, document, and prepare any repository for open source contribution. This skill does not generate generic templates — it inspects your actual codebase and produces repository-specific artifacts.

Commands

| Command | What It Does | |---------|--------------| | contributor-ready audit | Analyze repository, produce readiness report (no file changes) | | contributor-ready generate | Create only the files that are missing | | contributor-ready improve | Enhance existing documentation in place | | contributor-ready issues | Identify real contribution opportunities from code analysis | | contributor-ready full | Audit, generate, issues, report — complete pipeline |

Quick Start

Run contributor-ready full on this repository to make it contributor-ready.

How It Works

  1. Analyze — Detect project type, languages, frameworks, tooling, and current open source readiness
  2. Score — Rate six dimensions (Documentation, GitHub Community, CI/CD, Testing, Developer Experience, Security) using weighted scoring from reference.md
  3. Generate — Create missing artifacts using templates and repository-specific content
  4. Report — Produce a readiness report with scores, generated artifacts, and prioritized next steps

Safe Mode

  • Never overwrites existing files unless explicitly requested
  • Never generates placeholder content
  • Never assumes technology without detection
  • Always improves existing documentation when possible
  • Always produces repository-specific output

To regenerate an existing file, request it explicitly:

Regenerate the README.md for this repository.

Architecture

contributor-ready/
├── skill.md              # Entry point — this file
├── AGENT.md              # Agent orchestration and command routing
├── prompt.md             # System prompt for the skill
├── reference.md          # Detection, scoring, output format (single source of truth)
├── checklist.md          # Readiness scoring tables
├── validation.md         # Skill quality and maintenance checklists
├── changelog.md          # Improvement history
├── quality-report.md     # Quality assessment report
├── agents/               # Specialized agent instructions
│   ├── audit.md          # Repository analysis
│   ├── docs.md           # Documentation generation
│   ├── github.md         # GitHub community files
│   ├── issues.md         # Contribution opportunities
│   ├── architecture.md   # Architecture mapping
│   ├── roadmap.md        # Roadmap generation
│   ├── ci.md             # CI/CD workflows
│   ├── devex.md          # Developer experience
│   ├── release.md        # Release management
│   └── report.md         # Readiness report
├── templates/            # Reusable documentation templates
│   ├── README.md
│   ├── CONTRIBUTING.md
│   ├── CODE_OF_CONDUCT.md
│   ├── SECURITY.md
│   ├── SUPPORT.md
│   ├── ROADMAP.md
│   ├── CHANGELOG.md
│   ├── DEVELOPMENT.md
│   ├── ARCHITECTURE.md
│   ├── ISSUE_TEMPLATE.md
│   └── PR_TEMPLATE.md
├── examples/             # Technology-specific guides
│   ├── python.md
│   ├── fastapi.md
│   ├── react.md
│   ├── nextjs.md
│   ├── go.md
│   ├── rust.md
│   ├── cli.md
│   ├── library.md
│   └── chrome-extension.md
└── assets/               # Static assets and resources

Technology Support

Languages: Python, JavaScript, TypeScript, Go, Rust, Java, C#, C++, PHP, Ruby, Swift, Kotlin, Dart, Elixir, Scala, Haskell, Zig, Lua, R

Frameworks: React, Next.js, Vue, Angular, Svelte, Nuxt, Astro, Remix, Express, NestJS, Fastify, Koa, FastAPI, Django, Flask, Sanic, Spring Boot, Quarkus, Laravel, Rails, Sinatra, Gin, Echo, Fiber, Actix Web, Axum, Rocket, Flutter, Electron, React Native

Tools: CLI applications, browser extensions, VS Code extensions, mobile apps, desktop apps, libraries, SDKs, monorepos, MCP servers, AI agents, RAG applications

Related Skills

  • opensource-pipeline — Fork, sanitize, and package private projects for public release
  • security-review — Security checklist for new projects
  • coding-standards — Baseline coding conventions
  • repo-scan — Repository audit and asset classification

License

MIT

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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