# deepwiki-ask

> deepwiki-ask — kongyo2-deepwiki-ask. Use this tool when you need to retrieve specific information from Wikipedia or generate content based on its vast knowledge base. It solves problems related to research, data collection, and content creation by providing accurate and up-to-date information on a wide range of topics. With text-based inputs and outputs, deepwiki-ask can be used in various contexts, such as research projects, content generation, and data analysis.

Canonical page: https://skillsregistry.net/skills/kongyo2-deepwiki-ask  
JSON: https://api.skillsregistry.net/v1/skills/kongyo2-deepwiki-ask

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/kongyo2/deepwiki-ask)

## 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": "kongyo2-deepwiki-ask"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kongyo2-deepwiki-ask` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kongyo2-deepwiki-ask/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