# AutoContext

> Use this tool when you need to provide AI coding assistants with relevant context for your codebase, solving issues of incomplete or inaccurate code suggestions. AutoContext integrates with git to analyze your code repository and provide the necessary context, taking in codebase data as input and outputting informed coding assistance. It is ideal for use cases where AI-powered coding tools require a deeper understanding of the codebase to deliver accurate and helpful suggestions.

Canonical page: https://skillsregistry.net/skills/2site-net-autocontext  
JSON: https://api.skillsregistry.net/v1/skills/2site-net-autocontext

## Description

AutoContext gives AI coding assistants the right context for your codebase.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/2site-net/AutoContext)

## 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": "2site-net-autocontext"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/2site-net-autocontext` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/2site-net-autocontext/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