# Code Analyze

> Use this tool when you need to analyze and understand the structure of your codebase, as it provides comprehensive insights through tree-sitter parsing and supports multiple programming languages. It solves problems such as inefficient coding workflows and limited code understanding by offering features like directory traversal and call graph analysis. With inputs of raw code files and outputs of pre-parsed structural context, use Code Analyze to optimize your coding workflow and reduce token usage.

Canonical page: https://skillsregistry.net/skills/clouatre-labs-code-analyze  
JSON: https://api.skillsregistry.net/v1/skills/clouatre-labs-code-analyze

## Description

Comprehensive code structure analysis using tree-sitter parsing. Supports Rust, Python, Go, Java, TypeScript, TSX, and Fortran with features for directory traversal, symbol extraction, call graph analysis, and caching. Reduces token usage in coding workflows by providing pre-parsed structural context instead of raw file contents.

## Trust

- **Trust score (0–1):** 0.28
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/clouatre-labs-code-analyze)
- **Repository:** <https://github.com/clouatre-labs/aptu-coder>

## 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": "clouatre-labs-code-analyze"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clouatre-labs-code-analyze` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clouatre-labs-code-analyze/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