# CTX: Context as Code (CaC) tool

> Use this tool when you need to provide large amounts of context to AI models, such as LLMs, to improve their understanding and response accuracy. CTX solves the problem of information overload and context switching by allowing users to organize and feed relevant context as code, streamlining the input process. It takes in project context and outputs a digestible format for AI models to process, making it ideal for complex projects requiring nuanced understanding.

Canonical page: https://skillsregistry.net/skills/context-hub-generator  
JSON: https://api.skillsregistry.net/v1/skills/context-hub-generator

## Description

CTX is a tool made to solve a big problem when chatting with LLMs like ChatGPT or Claude: giving them enough context about your project.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qn88dl0i3i)
- **Repository:** <https://github.com/context-hub/generator>

## 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": "context-hub-generator"
    }
  }
}
```

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