SkillMesh Routes LLM Queries To Relevant Tools
SkillMesh, an open-source tool, introduces retrieval-based routing for LLM agents using BM25 plus dense retrieval and RRF fusion to select top-K expert cards. It reduces prompt tokens from ~50,000+ to ~3,000, lowering per-call cost and preserving accuracy, and ships integrations for Claude and Codex with an MCP server and CLI. Teams with 50+ skills can keep prompts compact and domain-precise.
Key Points
- 1Implements BM25 plus dense retrieval and RRF fusion to select top-K expert cards
- 2Reduces prompt tokens from ~50,000+ to ~3,000, lowering cost and preserving accuracy
- 3Enables scalable, multi-domain LLM agents with CLI, MCP server, and Claude/Codex integrations
Scoring Rationale
Actionable deployment and integration support justify a high score, limited novelty compared to existing retrieval-routing solutions.
Sources
Public references used for this report.
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