Processes Bevy game engine documentation from docs.rs, converting HTML to Markdown and embedding content into a Milvus vector database. Provides semantic search capabilities through MCP, enabling AI assistants to retrieve relevant documentation sections based on meaning rather than keyword matching. Designed for integration with AI coding assistants to provide accurate, context-aware access to Bevy framework documentation.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.