# figgen

> figgen — littlechama-figgen. Use this tool when you need to generate diagrams from YAML files, creating customized visual representations with features like swimlanes, layered structures, and emphasized arrows. It solves problems of manual diagram creation and allows for human and AI collaboration in designing layouts. Ideal for use cases where customized, readable diagrams are necessary, with input as YAML files and output as visual diagrams.

Canonical page: https://skillsregistry.net/skills/littlechama-figgen  
JSON: https://api.skillsregistry.net/v1/skills/littlechama-figgen

## Description

YAML 1枚から説明図を出す。配置はレイアウトエンジンではなく人（とAI）が決める。スイムレーン・層構造・強調矢印。MCPサーバー同梱。

## Trust

- **Trust score (0–1):** 0.86
- **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/littlechama/figgen)

## 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": "littlechama-figgen"
    }
  }
}
```

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