github-contributor

daymade/claude-code-skills · updated Apr 8, 2026

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$npx skills add https://github.com/daymade/claude-code-skills --skill github-contributor
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summary

Strategic guide for becoming an effective GitHub contributor and building your open-source reputation.

skill.md

GitHub Contributor

Strategic guide for becoming an effective GitHub contributor and building your open-source reputation.

Prerequisites

  • Install GitHub CLI and verify availability: gh --version
  • Authenticate before running commands: gh auth status || gh auth login

The Strategy

Core insight: Many open-source projects have room for improvement. By contributing high-quality PRs, you:

  • Build contributor reputation
  • Learn from top codebases
  • Expand professional network
  • Create public proof of skills

Contribution Types

1. Documentation Improvements

Lowest barrier, high impact.

  • Fix typos, grammar, unclear explanations
  • Add missing examples
  • Improve README structure
  • Translate documentation
Opportunity signals:
- "docs", "documentation" labels
- Issues asking "how do I..."
- Outdated screenshots or examples

2. Code Quality Enhancements

Medium effort, demonstrates technical skill.

  • Fix linter warnings
  • Add type annotations
  • Improve error messages
  • Refactor for readability
Opportunity signals:
- "good first issue" label
- "tech debt" or "refactor" labels
- Code without tests

3. Bug Fixes

High impact, builds trust.

  • Reproduce and fix reported bugs
  • Add regression tests
  • Document root cause
Opportunity signals:
- "bug" label with reproduction steps
- Issues with many thumbs up
- Stale bugs (maintainers busy)

4. Feature Additions

Highest effort, highest visibility.

  • Implement requested features
  • Add integrations
  • Performance improvements
Opportunity signals:
- "help wanted" label
- Features with clear specs
- Issues linked to roadmap

Project Selection

Good First Projects

Criteria Why
Active maintainers PRs get reviewed
Clear contribution guide Know expectations
"good first issue" labels Curated entry points
Recent merged PRs Project is alive
Friendly community Supportive feedback

Red Flags

  • No activity in 6+ months
  • Many open PRs without review
  • Hostile issue discussions
  • No contribution guidelines

Finding Projects

# GitHub search for good first issues
gh search issues "good first issue" --language=python --sort=created --state=open

# Search by topic
gh search repos "topic:cli" --sort=stars --limit=20

# Find repos you use
# Check dependencies in your projects

PR Excellence

The High-Quality PR Formula

Based on real-world successful contributions to major open-source projects:

1. Deep investigation (post to issue, not PR)
2. Minimal, surgical fix (only change what's necessary)
3. Regression test (prevent future breakage)
4. CHANGELOG entry (if project uses it)
5. End-to-end validation (prove bug exists, prove fix works)
6. Clear PR structure (~50 lines, focused)
7. Professional communication
8. Separate concerns (detailed analysis in issue, fix summary in PR)
9. No internal/irrelevant details
10. Responsive to feedback

Before Writing Code

Pre-PR Checklist:
- [ ] Read CONTRIBUTING.md
- [ ] Check existing PRs for similar changes
- [ ] Comment on issue to claim it
- [ ] Understand project conventions
- [ ] Set up development environment
- [ ] Trace through git history for context
- [ ] Identify root cause with evidence

Investigation Phase (Post to Issue)

Do this BEFORE coding:

  1. Reproduce the bug with exact commands and output
  2. Trace git history to understand context
    git log --all --grep="keyword" --oneline
    git blame file.ts | grep "relevant_line"
    
  3. Link related issues/PRs that provide context
  4. Post detailed analysis to issue (not PR)
    • Timeline of related changes
    • Root cause explanation
    • Why previous approaches didn't work

Example structure:

## Investigation

I traced this through the codebase history:

1. [Date]: #[PR] introduced [feature]
2. [Date]: #[PR] added [workaround] because [reason]
3. [Date]: #[PR] changed [parameter]
4. Now: Safe to [fix] because [explanation]

[Detailed evidence with code references]

Writing the PR

Title: Clear, conventional format

feat(config): add support for YAML config files
fix(pool): resolve race condition in connection pool
docs(readme): update installation instructions for Windows
refactor(validation): extract validation logic into separate module

Keep PR description focused (~50 lines):

  • Summary (1-2 sentences)
  • Root cause (technical, with code refs)
  • Changes (bullet list)
  • Why it's safe
  • Testing approach
  • Related issues

Move detailed investigation to issue comments, not PR.

Evidence Loop

Critical: Prove the change with a reproducible fail → fix → pass loop.

  1. Reproduce failure with original version

    # Test with original version
    npm install -g package@original-version
    [command that triggers bug]
    # Capture: error messages, exit codes, timestamps
    
  2. Apply fix and test with patched version

    # Test with fixed version
    npm install -g package@fixed-version
    [same command]
    # Capture: success output, normal exit codes
    
  3. Document both with timestamps, PIDs, exit codes, logs

  4. Redact sensitive info:

    • Local absolute paths (/Users/..., /home/...)
    • Secrets/tokens/API keys
    • Internal URLs/hostnames
    • Recheck every pasted block before submitting

Description: Focused and reviewable (~50 lines)

## Summary
[1-2 sentences: what this fixes and why]

## Root Cause
[Technical explanation with code references]

## Changes
- [Actual code changes]
- [Tests added]
- [Docs updated]

## Why This Is Safe
[Explain why it won't break anything]

## Testing

### Test 1: Reproduce Bug (Original Version)
Command: `[command]`
Result:
```text
[failure output with timestamps, exit codes]
```

### Test 2: Validate Fix (Patched Version)
Command: `[same command]`
Result:
```text
[success output with timestamps, exit codes]
```

## Related
- Fixes #[issue]
- Related: #[other issues/PRs]

What NOT to include in PR:

  • ❌ Detailed timeline analysis (put in issue)
  • ❌ Historical context (put in issue)
  • ❌ Internal tooling mentions
  • ❌ Speculation or uncertainty
  • ❌ Walls of text (>100 lines)

Code Changes Best Practices

Minimal, surgical fixes:

  • ✅ Only change what's necessary to fix the bug
  • ✅ Add regression test to prevent future breakage
  • ✅ Update CHANGELOG if project uses it
  • ❌ Don't refactor surrounding code
  • ❌ Don't add "improvements" beyond the fix
  • ❌ Don't change unrelated files

Example (OpenClaw PR #39763):

Files changed: 2
- src/infra/process-respawn.ts (3 lines removed, 1 added)
- src/infra/process-respawn.test.ts (regression test added)

Result: 278K star project, clean approval

Separation of Concerns

Issue comments: Detailed investigation

  • Timeline analysis
  • Historical context
  • Related PRs/issues
  • Root cause deep dive

PR description: Focused on the fix

  • Summary (1-2 sentences)
  • Root cause (technical)
  • Changes (bullet list)
  • Testing validation
  • ~50 lines total

Separate test comment: End-to-end validation

  • Test with original version (prove bug)
  • Test with fixed version (prove fix)
  • Full logs with timestamps

After Submitting

  • Monitor CI results
  • Respond to feedback promptly (within 24 hours)
  • Make requested changes quickly
  • Be grateful for reviews
  • Don't argue, discuss professionally
  • If you need to update PR:
    • Add new commits (don't force push during review)
    • Explain what changed in comment
    • Re-request review when ready

Professional responses:

✅ "Good point! I've updated the implementation to..."
✅ "Thanks for catching that. Fixed in commit abc123."
✅ "I see what you mean. I chose this approach because...
    Would you prefer if I changed it to...?"

❌ "That's just your opinion."
❌ "It works on my machine."
❌ "This is how I always do it."

Building Reputation

The Contribution Ladder

Level 1: Documentation fixes
    ↓ (build familiarity)
Level 2: Small bug fixes
    ↓ (understand codebase)
Level 3: Feature contributions
    ↓ (trusted contributor)
Level 4: Maintainer status

Consistency Over Volume

❌ 10 PRs in one week, then nothing
✅ 1-2 PRs per week, sustained

Engage Beyond PRs

  • Answer questions in issues
  • Help triage bug reports
  • Review others' PRs (if welcome)
  • Join project Discord/Slack

Common Mistakes

Don't

  • Submit drive-by PRs without investigation
  • Include detailed timeline in PR (put in issue)
  • Mention internal tooling or infrastructure
  • Argue with maintainers
  • Ignore code style guidelines
  • Make massive changes without discussion
  • Ghost after submitting
  • Refactor code unrelated to the fix
  • Add "improvements" beyond what was requested
  • Force push during review (unless asked)

Do

  • Investigate thoroughly BEFORE coding
  • Post detailed analysis to issue, not PR
  • Keep PR focused and minimal (~50 lines)
  • Start with small, focused PRs
  • Follow project conventions exactly
  • Add regression tests
  • Update CHANGELOG if project uses it
  • Communicate proactively
  • Accept feedback gracefully
  • Build relationships over time
  • Test with both original and fixed versions
  • Redact sensitive info from logs

Workflow Template

High-Quality Contribution Workflow:

Investigation Phase:
- [ ] Find project with "good first issue"
- [ ] Read contribution guidelines
- [ ] Comment on issue to claim
- [ ] Reproduce bug with original version
- [ ] Trace git history for context
- [ ] Identify root cause with evidence
- [ ] Post detailed analysis to issue

Implementation Phase:
- [ ] Fork and set up locally
- [ ] Make minimal, focused changes
- [ ] Add regression test
- [ ] Update CHANGELOG (if applicable)
- [ ] Follow project conventions exactly

Validation Phase:
- [ ] Test with original version (prove bug exists)
- [ ] Test with fixed version (prove fix works)
- [ ] Document both with timestamps/logs
- [ ] Redact paths/secrets/internal hosts

Submission Phase:
- [ ] Write focused PR description (~50 lines)
- [ ] Link to detailed issue analysis
- [ ] Post end-to-end test results
- [ ] Ensure CI passes

Review Phase:
- [ ] Respond to feedback within 24 hours
- [ ] Make requested changes quickly
- [ ] Don't force push during review
- [ ] Thank reviewers
- [ ] Celebrate when merged! 🎉

Quick Reference

GitHub CLI Commands

# Fork a repo
gh repo fork owner/repo --clone

# Create PR
gh pr create --title "feat(scope): ..." --body "..."

# Check PR status
gh pr status

# View project issues
gh issue list --repo owner/repo --label "good first issue" --state=open

Commit Message Format

<type>(<scope>): <description>

[optional body]

[optional footer]

Types: feat

how to use github-contributor

How to use github-contributor on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add github-contributor
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/daymade/claude-code-skills --skill github-contributor

The skills CLI fetches github-contributor from GitHub repository daymade/claude-code-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/github-contributor

Reload or restart Cursor to activate github-contributor. Access the skill through slash commands (e.g., /github-contributor) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.636 reviews
  • Ganesh Mohane· Dec 24, 2024

    github-contributor fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Mei Li· Dec 24, 2024

    We added github-contributor from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kofi Diallo· Dec 24, 2024

    Registry listing for github-contributor matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 23, 2024

    github-contributor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 15, 2024

    Registry listing for github-contributor matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hassan Garcia· Nov 15, 2024

    github-contributor reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nikhil Zhang· Nov 3, 2024

    github-contributor has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Nikhil Mehta· Oct 22, 2024

    Solid pick for teams standardizing on skills: github-contributor is focused, and the summary matches what you get after install.

  • Dhruvi Jain· Oct 14, 2024

    Solid pick for teams standardizing on skills: github-contributor is focused, and the summary matches what you get after install.

  • Chaitanya Patil· Oct 6, 2024

    github-contributor reduced setup friction for our internal harness; good balance of opinion and flexibility.

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