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manastalukdarmanastalukdar/ai-devstudio/skills/contributing/SKILL.md

contributing

Skill1 starsChanged 7 months agoMITView on GitHub

Contribution readiness assessment analyzing project guidelines and requirements

20 other projects use a version of this.

Adopted by

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Used with

Projects with it also use e2e, worktree and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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  • MicrosoftSkill

    worktree

    Create, reuse or clean up a dedicated git worktree for working on a pull request or a private branch. Use from any PR-scoped workflow that needs an isolated checkout to keep current code and build output untouched.

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  • NVIDIASkill

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The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 20 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Should this be one PR or multiple?

    line 29
  2. Distinctive:

    Do all tests pass?

    line 35

“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Complete Contribution Strategy - Context Aware

I'll analyze everything needed for your successful contribution based on your current context and work.

Strategic Thinking Process

<think> For a successful contribution, I need to analyze:
  1. Current Work Context
    • What has been done in this session?
    • Are we mid-implementation or post-completion?
    • What type of changes were made (feature, fix, refactor)?
    • Is the work ready for contribution?
  2. Project Type & Standards
    • Is this open source, company, or personal project?
    • What are the contribution guidelines?
    • Are there specific workflows to follow?
    • What quality gates exist (tests, lint, reviews)?
  3. Contribution Strategy
    • Should this be one PR or multiple?
    • Which issues does this work address?
    • What documentation needs updating?
    • Who should review this?
  4. Pre-flight Checklist
    • Do all tests pass?
    • Is the code properly formatted?
    • Are there any lint warnings?
    • Is documentation updated?
    • Are commits well-organized?</think>

Token Optimization

Expected range: 500–1,500 tokens (initial), 100 tokens (cache hit)

Caching: Caches project structure in .claude/cache/understand/project_structure.json for 7 days.

Early exit: Returns immediately if CONTRIBUTING.md already exists and is current.

Patterns used: Grep-before-Read, early exit, template-based generation, caching

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