Skill: ultracold-molecule/github-semantic (version 1.0.0)

--- name: super-github description: "AI-Native GitHub Assistant powered by Embedder+Qdrant+LLM architecture. Index repos, semantic search across issues/PRs/code, proactive monitoring with Feishu alerts. Use when: (1) natural language GitHub queries, (2) tracking issues/PRs/CI across repos, (3) monitoring repos for bugs/keywords, (4) finding related issues without keyword matching." --- # 🦞 Super GitHub — AI-Native GitHub Assistant > Powered by the same Embedder + Qdrant + LLM architecture as elite memory systems. > Index repos, search semantically, monitor proactively — all with natural language. ## Architecture ``` Query → [LLM: understand intent] → [Embedder: vectorize] → [Qdrant: semantic search] → [gh CLI: act] ``` Three-layer system (same as production memory pipelines): | Layer | Component | Role | |-------|-----------|------| | **Embedder** | Ollama `nomic-embed-text` | Converts text → 768-dim vectors | | **Vector Store** | Qdrant (local) | Stores & searches vectors by similarity | | **Action Layer** | `gh` CLI | Executes GitHub operations | ## Prerequisites - `gh` CLI authenticated (`gh auth status`) - Ollama running with `nomic-embed-text:latest` - Qdrant running at `localhost:6333` ## Quick Start ```bash # 1. Initialize Qdrant collection python scripts/github_indexer.py init # 2. Index a repo python scripts/github_indexer.py add owner/repo --all # 3. Search with natural language python scripts/github_search.py "memory search failing in agent" --limit 10 # 4. Monitor for keywords python scripts/github_monitor.py watch owner/repo --events issues,ci --keywords bug,broken,urgent ``` ## Scripts | Script | Purpose | |--------|---------| | `github_indexer.py` | Index repos (issues, PRs, metadata) into Qdrant | | `github_search.py` | Natural language semantic search | | `github_monitor.py` | Proactive monitoring with keyword alerts | ## Detailed Commands ### Index (github_indexer.py) ```bash python github_indexer.py init # Create Qdrant collection python github_indexer.py add owner/repo --all # Index everything python github_indexer.py add owner/repo --issues # Issues only python github_indexer.py add owner/repo --prs # PRs only python github_indexer.py add owner/repo --repo # Repo metadata python github_indexer.py status # Show indexed data python github_indexer.py rm owner/repo # Remove from index ``` ### Search (github_search.py) ```bash python github_search.py "query" # Search all python github_search.py "query" --repo owner/repo # Filter by repo python github_search.py "query" --type issue # Filter by type python github_search.py "query" --limit 20 # More results python github_search.py "query" --repo owner/repo --ci # Show CI runs ``` ### Monitor (github_monitor.py) ```bash python github_monitor.py watch owner/repo # Start watching python github_monitor.py watch owner/repo --events issues,ci python github_monitor.py status # Show watches python github_monitor.py check # Run checks python github_monitor.py unwatch owner/repo # Stop watching ``` ## Memory System Analogy | Component | GitHub Skill | Memory System | |-----------|-------------|---------------| | Data | Issues, PRs, code | Conversations | | Embedder | nomic-embed-text | nomic-embed-text | | Vector Store | Qdrant | Qdrant | | Add | github_indexer.py | mem0 add | | Search | github_search.py | mem0 search | ## Why Vector Search vs Keyword? | Approach | "memory problems" query | |----------|--------------------------| | Keyword | Exact match only | | **Vector (this)** | "memory leak", "OOM", "out of memory" | ## Setup Checklist - [ ] `gh auth login` — authenticate GitHub CLI - [ ] `ollama pull nomic-embed-text:latest` — download embedder - [ ] Start Qdrant: `qdrant --storage-path ./qdrant-data` - [ ] `python github_indexer.py init` — create collection


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)