SkillMesh — AI skill for Claude Code
SkillMesh is a unified skill layer for AI agents.
How to install SkillMesh
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open tobimark/SkillMesh and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What SkillMesh does
SkillMesh is a unified skill layer for AI agents. It connects runtimes like Claude Code and OpenClaw, enabling simple orchestration without complex frameworks.
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README
Connect and orchestrate skills across AI agents
SkillMesh is a unified skill layer for AI agents. It connects runtimes like Claude Code and OpenClaw, enabling simple orchestration without complex frameworks.✨ Overview
**SkillMesh** is a lightweight control layer for building AI products using existing agent runtimes.
Instead of building agents from scratch or relying on heavy frameworks like LangChain, SkillMesh lets you:
- Use existing agents (Claude Code, OpenClaw, Codex)
- Reuse and compose skills
- Ship AI features faster with less complexity
❗ The Problem
Building AI agents today is overcomplicated.
Most approaches involve:
- Heavy frameworks with too many abstractions
- Complex orchestration logic
- Difficult debugging and maintenance
At the same time, powerful agent runtimes already exist — capable of planning, tool use, and execution.
The real challenge is not building agents. It’s **using them effectively to build products**.
💡 The Solution
SkillMesh provides a simple layer that sits between your app and multiple AI agents:
- Unified interface for different runtimes
- Skill-based abstraction
- Lightweight orchestration
Don’t build agents. **Compose them.**
🧱 Architecture

🚀 Features
🔌 Multi-Agent Support
- Claude Code
- OpenClaw
- Codex (planned)
🧩 Skill Layer
- Unified skill abstraction
- Cross-agent compatibility
- YAML / JSON definitions
⚙️ Lightweight Orchestration
- Simple skill chaining
- Extensible execution model
🌐 API-First
- Build your own UI or SaaS on top
- Easy backend integration
⚡ Quick Start
1. Install
pip install skillmesh
Or install from source:
git clone https://gith
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