github
GitHub repository operations via gh CLI for issues, PRs, CI runs, and API queries.
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Install Skill
Run in your terminal
1
installs
1
this week
350.1K
stars
What it does
Covers PR and issue workflows: list, create, view, comment, merge, and close operations
Includes CI/workflow run inspection with log filtering, status checks, and failed job re-runs
Supports structured JSON output with --jq filtering for programmatic data extraction and querying
Requires gh CLI authentication (one-time setup via gh auth login ) and works best within git directories or with explicit
Installation Guide
How to use github on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
github
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches github from steipete/clawdis and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github. Access via /github in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
GitHub Skill
Use the gh CLI to interact with GitHub repositories, issues, PRs, and CI.
When to Use
✅ USE this skill when:
- Checking PR status, reviews, or merge readiness
- Viewing CI/workflow run status and logs
- Creating, closing, or commenting on issues
- Creating or merging pull requests
- Querying GitHub API for repository data
- Listing repos, releases, or collaborators
When NOT to Use
❌ DON'T use this skill when:
- Local git operations (commit, push, pull, branch) → use
gitdirectly - Non-GitHub repos (GitLab, Bitbucket, self-hosted) → different CLIs
- Cloning repositories → use
git clone - Reviewing actual code changes → use
coding-agentskill - Complex multi-file diffs → use
coding-agentor read files directly
Setup
# Authenticate (one-time)
gh auth login
# Verify
gh auth status
Common Commands
Pull Requests
# List PRs
gh pr list --repo owner/repo
# Check CI status
gh pr checks 55 --repo owner/repo
# View PR details
gh pr view 55 --repo owner/repo
# Create PR
gh pr create --title "feat: add feature" --body "Description"
# Merge PR
gh pr merge 55 --squash --repo owner/repo
Issues
# List issues
gh issue list --repo owner/repo --state open
# Create issue
gh issue create --title "Bug: something broken" --body "Details..."
# Close issue
gh issue close 42 --repo owner/repo
CI/Workflow Runs
# List recent runs
gh run list --repo owner/repo --limit 10
# View specific run
gh run view <run-id> --repo owner/repo
# View failed step logs only
gh run view <run-id> --repo owner/repo --log-failed
# Re-run failed jobs
gh run rerun <run-id> --failed --repo owner/repo
API Queries
# Get PR with specific fields
gh api repos/owner/repo/pulls/55 --jq '.title, .state, .user.login'
# List all labels
gh api repos/owner/repo/labels --jq '.[].name'
# Get repo stats
gh api repos/owner/repo --jq '{stars: .stargazers_count, forks: .forks_count}'
JSON Output
Most commands support --json for structured output with --jq filtering:
gh issue list --repo owner/repo --json number,title --jq '.[] | "\(.number): \(.title)"'
gh pr list --json number,title,state,mergeable --jq '.[] | select(.mergeable == "MERGEABLE")'
Templates
PR Review Summary
# Get PR overview for review
PR=55 REPO=owner/repo
echo "## PR #$PR Summary"
gh pr view $PR --repo $REPO --json title,body,author,additions,deletions,changedFiles \
--jq '"**\(.title)** by @\(.author.login)\n\n\(.body)\n\n📊 +\(.additions) -\(.deletions) across \(.changedFiles) files"'
gh pr checks $PR --repo $REPO
Issue Triage
# Quick issue triage view
gh issue list --repo owner/repo --state open --json number,title,labels,createdAt \
--jq '.[] | "[\(.number)] \(.title) - \([.labels[].name] | join(", ")) (\(.createdAt[:10]))"'
Notes
- Always specify
--repo owner/repowhen not in a git directory - Use URLs directly:
gh pr view https://github.com/owner/repo/pull/55 - Rate limits apply; use
gh api --cache 1hfor repeated queries
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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Reviews
- ZZaid Verma★★★★★Dec 28, 2024
github has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAmelia Yang★★★★★Dec 20, 2024
github fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAmelia Ndlovu★★★★★Dec 16, 2024
We added github from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AAmelia Jackson★★★★★Dec 8, 2024
Useful defaults in github — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- KKofi Park★★★★★Dec 4, 2024
github is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAmelia Lopez★★★★★Nov 27, 2024
I recommend github for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- NNaina Brown★★★★★Nov 23, 2024
Solid pick for teams standardizing on skills: github is focused, and the summary matches what you get after install.
- AAditi Liu★★★★★Nov 19, 2024
Keeps context tight: github is the kind of skill you can hand to a new teammate without a long onboarding doc.
- MMaya Srinivasan★★★★★Nov 11, 2024
Registry listing for github matched our evaluation — installs cleanly and behaves as described in the markdown.
- XXiao Agarwal★★★★★Nov 7, 2024
github reduced setup friction for our internal harness; good balance of opinion and flexibility.
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