# Ukagaka Docs

> Use this tool when you need to access Ukagaka technical documentation offline, to query scripting references, event handling, and plugin APIs, or to troubleshoot development issues without internet connectivity. It provides full-text search across UKADOC, YAYA Wiki, and Satori Wiki documentation sets, allowing developers to quickly find relevant information. Ideal for Ukagaka developers working on scripting, plugin development, or troubleshooting projects in offline environments.

Canonical page: https://skillsregistry.net/skills/finelagusaz-ukagaka-docs  
JSON: https://api.skillsregistry.net/v1/skills/finelagusaz-ukagaka-docs

## Description

Provides search access to Ukagaka (Japanese desktop mascot software) technical documentation from three sources: UKADOC, YAYA Wiki, and Satori Wiki. Runs entirely offline using local snapshots, allowing developers to query scripting references, event handling, and plugin APIs without internet connectivity. Supports full-text search across all three documentation sets simultaneously.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/finelagusaz-ukagaka-docs)
- **Repository:** <https://github.com/finelagusaz/ukagaka-doc-mcp>

## 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": "finelagusaz-ukagaka-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finelagusaz-ukagaka-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finelagusaz-ukagaka-docs/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