# langhuan

> langhuan — amoydavid-langhuan. Use this tool when you need to convert a knowledge base into a retrievable service, solving problems of knowledge management and retrieval for Chinese-language applications. It takes in a knowledge base as input and outputs a callable retrieval service, providing a single-binary, Chinese-friendly interface. Use langhuan in contexts where you require efficient knowledge processing and retrieval, such as building RAG-based systems.

Canonical page: https://skillsregistry.net/skills/amoydavid-langhuan  
JSON: https://api.skillsregistry.net/v1/skills/amoydavid-langhuan

## Description

把知识库变成可被 MCP 调用的检索服务 —— 单二进制、中文友好的 RAG 知识处理层  Turn your knowledge base into an MCP-callable retrieval service — a single-binary, Chinese-friendly knowledge processing layer for RAG.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/amoydavid/langhuan)

## 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": "amoydavid-langhuan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amoydavid-langhuan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amoydavid-langhuan/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