Skillogy

GraphRAG-based skill router for Claude Code. Routes every prompt through a Neo4j knowledge graph of your SKILL.md files so the right skill triggers based on intent — not on whether your wording happens to match a description.

Install

/plugin marketplace add PurpleCHOIms/Skillogy
/plugin install skillogy@skillogy

Prerequisites: Node.js ≥ 20 and Docker (for the Neo4j container). Everything else is automatic — the SessionStart hook starts Neo4j and indexes ~/.claude/skills + project .claude/skills in the background. Until indexing finishes, the hook gracefully passes through with a one-time status message.

Benchmark

29 testbed skills, 29 natural-language queries, same claude --print. Only variable: whether Skillogy’s UserPromptSubmit hook is active. Detection criterion: Claude Code emits the correct Skill({skill: "..."}) tool call within 60 s.

Model	Native	With Skillogy	Improvement
Claude Haiku 4.5	20.7 %	62.1 %	+41.4 pp
Claude Sonnet 4.6	48.3 %	100.0 %	+51.7 pp
Claude Opus 4.7	69.0 %	96.6 %	+27.6 pp

Hook p95 latency < 10 s. Numbers are from the original Python implementation under legacy-python/bench/; the TypeScript port preserves the routing pipeline byte-for-byte.

License

MIT — see LICENSE.