# context-book

> context-book — aditya201551-context-book. Use this tool when you need to provide consistent context to AI agents, eliminating the need for repeated explanations. The context-book tool solves problems of context switching and information redundancy, accepting input from git repositories and outputting relevant context for agent queries. It streamlines interactions between humans and AI agents, especially in collaborative development environments.

Canonical page: https://skillsregistry.net/skills/aditya201551-context-book  
JSON: https://api.skillsregistry.net/v1/skills/aditya201551-context-book

## Description

Stop re-explaining yourself to Agents. Give it the right context, right when it needs it.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/aditya201551/context-book)

## 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": "aditya201551-context-book"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aditya201551-context-book` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aditya201551-context-book/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