# lingtai

> lingtai — edrc-shawn-lingtai. Use this tool when you need to organize raw notes into structured knowledge, leveraging a combination of human and AI capabilities to streamline your production process. It solves problems of information fragmentation and knowledge management, providing a robust system with 68 MCP tools and zero API dependencies. Ideal for use cases requiring efficient knowledge assembly, it accepts raw notes as input and outputs structured knowledge, integrating seamlessly with git.

Canonical page: https://skillsregistry.net/skills/edrc-shawn-lingtai  
JSON: https://api.skillsregistry.net/v1/skills/edrc-shawn-lingtai

## Description

Raw notes → Structured knowledge. 68 MCP tools, MIT open source, zero API dependencies. One human + AI production system. Not a chatbot — your knowledge assembly line.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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/edrc-shawn/lingtai)

## 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": "edrc-shawn-lingtai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edrc-shawn-lingtai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edrc-shawn-lingtai/pull`

---
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