# knowledge

> Use this tool when you need to manage and retrieve knowledge or integrate with model context protocols. It solves problems related to information storage, retrieval, and model integration, providing a dual-purpose knowledge base and MCP RAG server. With git capabilities, it accepts knowledge inputs and outputs relevant information, ideal for use cases requiring centralized knowledge management and model context synchronization.

Canonical page: https://skillsregistry.net/skills/caitao-ct-knowledge  
JSON: https://api.skillsregistry.net/v1/skills/caitao-ct-knowledge

## Description

A dual-purpose Knowledge Base and MCP (Model Context Protocol) RAG Server

## Trust

- **Trust score (0–1):** 1.00
- **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/caitao-ct/knowledge)

## 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": "caitao-ct-knowledge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caitao-ct-knowledge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caitao-ct-knowledge/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