# CodeMesh

> Use this tool when you need to efficiently navigate and analyze large codebases with AI agents. CodeMesh indexes local code into a semantic knowledge graph, reducing context loading overhead and enabling faster code understanding. It provides structured code insights, making it ideal for use cases requiring rapid code analysis and navigation.

Canonical page: https://skillsregistry.net/skills/pyalwin-codemesh  
JSON: https://api.skillsregistry.net/v1/skills/pyalwin-codemesh

## Description

Indexes a local codebase into a semantic knowledge graph for AI coding agents. Provides structured code understanding that reduces context loading overhead compared to naive file retrieval, enabling faster and more cost-efficient code navigation and analysis.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pyalwin-codemesh)
- **Repository:** <https://github.com/pyalwin/codemesh>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pyalwin-codemesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pyalwin-codemesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pyalwin-codemesh/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt