Rusty Page Indexer Skill

This skill allows agents to index and query local documentation using rusty-page-indexer. Unlike standard vector databases, it focuses on Structural Context, preserving the document's hierarchical tree for more logical retrieval.

Why Structure Matters

Standard RAG often slices documents into arbitrary chunks, losing context. rusty-page-indexer maintains a Folder → File → Section hierarchy.

• Logical Retrieval: Instead of just matching a sentence, you match a logical section (e.g., an entire API endpoint description).
• Project Awareness: The LLM understands where a file lives (e.g., src/auth) giving it contextual cues about the code's purpose.

Key Capabilities

• Multi-repo indexing: Index multiple projects independently
• Cross-repo search: Query across all indexed repositories
• Parallel processing: Fast indexing with Rayon
• Unified tree structure: Folder -> File -> Section hierarchy
• Model flexibility: Works with OpenAI, Ollama, and OpenAI-compatible APIs

Commands