github-hunter

仓库: breverdbidder/life-os
安装量: 41
排名: #17724

安装

npx skills add https://github.com/breverdbidder/life-os --skill github-hunter

GitHub Hunter Skill Automatically discovers GitHub repositories relevant to BidDeed.AI and Life OS, scores them 0-100 based on criteria, and archives them to Supabase with integration recommendations. Workflow 1. Discovery Phase Search GitHub for repositories using relevant keywords extracted from: User requests ("find repos for X") Video transcripts (projects mentioned in content) Technology domains (foreclosure data, ADHD productivity, etc.) 2. Scoring Phase (0-100) Score each repository on: Stars (0-25 points): Logarithmic scale, 10K+ stars = 25 Recency (0-20 points): Last updated within 30 days = 20, 1+ year = 0 Documentation (0-15 points): README quality, examples, API docs Relevance (0-25 points): Direct applicability to BidDeed.AI or Life OS License (0-15 points): MIT/Apache = 15, GPL = 10, Proprietary = 0 Formula: score = min ( 100 , ( log10 ( stars + 1 ) / log10 ( 10000 ) ) * 25 + max ( 0 , 20 - ( days_since_update / 15 ) ) + documentation_score + relevance_score + license_score ) 3. Archive Phase Insert to Supabase insights table with: { "category" : "github_discovery" , "subcategory" : "auto_hunter" , "title" : "GitHub Hunter: {repo_name}" , "content" : { "repo_url" : "https://github.com/{owner}/{name}" , "score" : 85 , "stars" : 1234 , "description" : "..." , "language" : "Python" , "license" : "MIT" , "last_updated" : "2025-12-20" , "integration_recommendation" : "..." , "relevant_to" : [ "biddeed" , "life-os" ] } } 4. Alert Phase Notify Ariel via response with: Repository name and URL Score (with color coding: 🟢 80+, 🟡 60-79, 🟠 40-59, 🔴 <40) Brief summary (1-2 sentences) Integration recommendation Direct action: "Add to {repo}?" with yes/no Usage Triggers Explicit requests: "Find GitHub repos for {topic}" "Search for projects about {domain}" "Discover repositories related to {technology}" Context-aware triggers: Video transcripts mentioning GitHub projects → auto-hunt after transcript Articles/docs with GitHub URLs → extract and score User says "what could we integrate from that?" after discussing a topic Scoring Examples Score 95: fastapi/fastapi 75K stars (25), updated 2 days ago (20), excellent docs (15), highly relevant to BidDeed.AI API (25), Apache license (15) Score 72: user/small-foreclosure-tool 45 stars (8), updated 1 week ago (18), basic README (8), perfect relevance (25), MIT (15) Score 38: abandoned/old-project 500 stars (15), updated 2 years ago (0), no docs (0), tangential relevance (8), MIT (15) Integration Recommendations Format Provide actionable integration steps:

Integration Recommendation ** To BidDeed.AI: ** 1. Use {feature} for {existing_workflow_stage} 2. Replace {current_approach} with {repo_approach} 3. Add workflow: .github/workflows/{new_workflow}.yml ** To Life OS: ** 1. Integrate {tool} for {productivity_feature} 2. Add skill: .claude/skills/{skill_name}/ 3. Update orchestrator to call {function} ** Estimated effort: ** {hours} hours ** Dependencies: ** {list} ** Risk level: ** {low/medium/high} Alert Template 🔍 GitHub Hunter Discovery {repo_name} [{score_emoji} {score}/100] https://github.com/{owner}/{name} {description} Stats: ⭐ {stars} | 📅 {last_updated} | 📜 {license} | 💬 {language} Integration: {integration_recommendation} Add to BidDeed.AI? [Yes/No] Add to Life OS? [Yes/No] Advanced: Batch Discovery When user provides a list of topics or a domain:

Example: "Find repos for foreclosure data scraping, PDF parsing, and workflow orchestration"

Topics: 1 . foreclosure data scraping 2 . PDF parsing 3 . workflow orchestration For each topic: - Search GitHub API with 3 -5 keyword variations - Score top 10 results per topic - Archive scores 60 + to Supabase - Alert Ariel with top 3 across all topics Repository Addition Workflow When user approves a repo: Determine target repo: BidDeed.AI → breverdbidder/biddeed-conversational-ai Life OS → breverdbidder/life-os Both → add to both Create integration plan: If library: Add to requirements.txt or package.json If workflow: Create .github/workflows/{name}.yml If skill: Create .claude/skills/{name}/SKILL.md If script: Add to src/integrations/ or agents/ Document in README: Add to "Integrations" section Link to repo Note version and license Archive decision: Update Supabase insight with integration_status: "added" Record which repo(s) it was added to Note commit SHA Filters Exclude repos with: Archived status No commits in 2+ years (unless legendary/foundational) Proprietary license for core BidDeed.AI features <10 stars AND <30 days old (likely spam) Prioritize repos with: Python (BidDeed.AI), JavaScript/TypeScript (Life OS) AI/ML, web scraping, document processing, workflow automation Active maintenance (commits in last 60 days) Clear documentation Permissive licenses (MIT, Apache, BSD) GitHub API Usage Use web_search to find repos, then web_fetch for details:

Search

query

"foreclosure auction data scraping language:python" search_url = f"https://github.com/search?q= { query } &type=repositories&s=stars&o=desc"

Fetch repo details

repo_url

"https://api.github.com/repos/{owner}/{name}"

Get: stars, last_updated, description, language, license, topics

Supabase Schema Insert to insights table at mocerqjnksmhcjzxrewo.supabase.co : INSERT INTO insights ( category , subcategory , title , content , created_at ) VALUES ( 'github_discovery' , 'auto_hunter' , 'GitHub Hunter: {repo_name}' , '{ "repo_url": "...", "score": 85, "stars": 1234, "description": "...", "language": "Python", "license": "MIT", "last_updated": "2025-12-20", "integration_recommendation": "...", "relevant_to": ["biddeed"], "integration_status": "pending" }' ::jsonb , NOW ( ) ) ; Example Session User: "Find GitHub repos for PDF form filling and data extraction" Claude: [triggers github-hunter skill] 1. Search: "PDF form filling python", "PDF data extraction", "fillable pdf automation" 2. Discover: - PyPDF2 (8.2K stars, score: 78) - pdfplumber (6.1K stars, score: 82) - pdf-form-fill (234 stars, score: 71) 3. Archive top 2 to Supabase 4. Alert: 🔍 GitHub Hunter Discovery pdfplumber [🟢 82/100] https://github.com/jsvine/pdfplumber Plumb a PDF for detailed information about tables, text, images. Maintained, excellent docs. Stats: ⭐ 6.1K | 📅 2025-12-15 | 📜 MIT | 💬 Python Integration: Replace manual PDF parsing in BECA scraper with pdfplumber for structured table extraction. Use for tax certificate downloads from RealTDM. Add to BidDeed.AI? [Yes/No] Notes Always archive to Supabase BEFORE asking for approval Score threshold for alerts: 60+ Batch discovery: alert top 3 only, archive all 60+ If repo already in our codebase, mark as integration_status: "existing"

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