Search GitHub code, repositories, issues, and pull requests with flexible filtering.
Works with
Four search types: code, repositories, issues, and pull requests, each with full GitHub search syntax support
Optional filtering by repository owner and name to narrow results to specific projects
Requires GitHub personal access token configured in mcp_config.json for authentication
Command-line interface with straightforward parameters for integration into agent workflows
uv run python -m runtime.harness scripts/mcp/github_search.py \
--type "code" \
--query "your search query"
--type: Search type - code, repos, issues, prs--query: Search query (supports GitHub search syntax)--owner: (optional) Filter by repo owner--repo: (optional) Filter by repo name# Search code
uv run python -m runtime.harness scripts/mcp/github_search.py \
--type "code" \
--query "authentication language:python"
# Search issues
uv run python -m runtime.harness scripts/mcp/github_search.py \
--type "issues" \
--query "bug label:critical" \
--owner "anthropics"
Requires github server in mcp_config.json with GITHUB_PERSONAL_ACCESS_TOKEN.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongithub-searchExecute the skills CLI command in your project's root directory to begin installation:
Fetches github-search from parcadei/continuous-claude-v3 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate github-search. Access via /github-search in your agent's command palette.
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.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
parcadei/continuous-claude-v3
kostja94/marketing-skills
mattpocock/skills
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
github-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
github-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend github-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend github-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in github-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in github-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
github-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in github-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
github-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
github-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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