SkillMesh: MCP-Friendly Router for Large Tool Catalogs Reduces Context Size by 70%
SkillMesh is an MCP-friendly router designed to handle large tool and skill catalogs for AI agents. The creator identified that loading entire tool catalogs into every prompt hurts tool selection accuracy and inflates token costs as catalogs grow.
How SkillMesh Works
The approach focuses on selective context injection:
- Retrieves top-K relevant expert cards for the current query
- Injects only those cards into the agent's context
- Keeps the rest of the catalog out of the prompt
This reduces context size by approximately 70% in many cases and enables agents to scale across multiple domains without prompt bloat.
Current Features
SkillMesh currently supports:
- Claude integration via MCP server (
skillmesh-mcp) - Codex skill bundle integration
- OpenAI-style function schema in tool invocation metadata
Tools and capabilities can be installed by role, adding relevant functionality based on the task.
Example Use Case
For a query like "clean sales data, train a baseline model, and generate charts," SkillMesh would route to only relevant data processing, machine learning, and visualization expert cards instead of loading the entire catalog.
Installation and Feedback
The project is available on GitHub at SkillMesh. The creator is seeking feedback on:
- Retrieval quality (whether it picks the right tools)
- Registry format (ease of adding new tools)
- MCP integration ergonomics
📖 Read the full source: r/LocalLLaMA
👀 See Also
Claude for Design Work: How to Stop Repeating the Same Taste Arguments Every Session
A developer running client work through Claude describes the core problem: Claude has no memory of rejected design decisions, leading to generic outputs and inconsistent brand identity.
Creation OS: A Local σ-Gated LLM Runtime That Lets Models Say ‘I Don’t Know’ Instead of Hallucinating
Creation OS wraps local LLMs (BitNet, Qwen, Gemma, any GGUF) with a σ-gate that measures multiple uncertainty channels and decides ACCEPT, RETHINK, or ABSTAIN per output. No cloud, no API. TruthfulQA accuracy improved ~29% via selective regeneration.
Skills Creator Tool for OpenClaw Helps Developers Package Workflows
A developer created a skill called skills-creator that guides users through creating quality skills for OpenClaw, addressing common pitfalls like vague descriptions and documentation-like instructions. It's available on ClawHub and provides a design-driven approach with description formulas, checklists, and complexity tiers.
Setting Up OpenClaw as an Always-On AI Assistant
OpenClaw, configured as an always-on AI assistant for a small dev team, is set up on a Railway server with Claude as the backend and integrates with Google Workspace, GitHub, and more.