# codeatlas

> codeatlas — shditz-codeatlas. Use this tool when you need to visualize and understand local dependency graphs and gain context intelligence for AI-powered coding tasks. It solves problems related to code navigation, dependency management, and intelligent coding assistance, providing valuable insights for AI agents. The tool takes in code repositories and git data as input and outputs actionable intelligence to inform coding decisions.

Canonical page: https://skillsregistry.net/skills/shditz-codeatlas  
JSON: https://api.skillsregistry.net/v1/skills/shditz-codeatlas

## Description

Local dependency graphs and context intelligence for AI coding agents.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/shditz/codeatlas)

## 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": "shditz-codeatlas"
    }
  }
}
```

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

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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