# llm_notes

> llm_notes — hyunyoungda-llm-notes. Use this tool when you need to manage notes and knowledge related to Large Language Models (LLM), Model-Centric Programming (MCP), and Architecture-to-Assembly (A2A) concepts, with capabilities to integrate with git for version control and collaboration. It solves problems of note organization, knowledge retrieval, and version tracking for AI and programming concepts. The tool accepts text-based inputs and outputs formatted notes and knowledge graphs.

Canonical page: https://skillsregistry.net/skills/hyunyoungda-llm-notes  
JSON: https://api.skillsregistry.net/v1/skills/hyunyoungda-llm-notes

## Description

LLM, MCP, A2A

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/hyunyoungDA/llm_notes)

## 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": "hyunyoungda-llm-notes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyunyoungda-llm-notes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyunyoungda-llm-notes/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