# skywork-document

> Use this tool when you need to create professional documents quickly and efficiently, such as reports, articles, or proposals, and require up-to-date content. It solves the problem of manual research and content gathering by automatically searching the web for relevant information. With a prompt as input, it generates a well-structured document as output, making it ideal for use cases where speed and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/skywork-document  
JSON: https://api.skillsregistry.net/v1/skills/skywork-document

## Description

Generate professional documents from prompts with automatic web search for up-to-date content.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-08-24

## Source

- **Source listing:** [ClawHub](https://github.com/openclaw/skills/blob/main/skills/gxcun17/skywork-document/SKILL.md)

## 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": "skywork-document"
    }
  }
}
```

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