# codebase-context

> codebase-context — patricksys-codebase-context. Use this tool when you need to generate a map of your codebase to improve AI agent understanding of your architecture, coding conventions, and patterns. It solves problems of code complexity and discoverability, enabling efficient semantic search and navigation. Input your git repository and output a comprehensive codebase map to enhance AI agent contextual awareness.

Canonical page: https://skillsregistry.net/skills/patricksys-codebase-context  
JSON: https://api.skillsregistry.net/v1/skills/patricksys-codebase-context

## Description

Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions, patterns, and memory, so they use fewer tokens, spend less time, and produce better, more familiar output.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PatrickSys/codebase-context)

## 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": "patricksys-codebase-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/patricksys-codebase-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/patricksys-codebase-context/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