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skywork-document天空文档

Agent Skill

skywork-document 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,322

周安装

85

GitHub Stars

124

下载量

1,000
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skywork-document(天空文档)
来源仓库:https://github.com/skyworkai/skywork-skills
仓库路径:skills/skywork-document
安装命令:
npx skills add https://github.com/skyworkai/skywork-skills --skill 'Skywork Document'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/skyworkai/skywork-skills --skill 'Skywork Document'

简介

skywork-document 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 建议结合原始 README 核验具体用法和功能边界。

SKILL.md

Doc — Professional Document Generator

Generate professional, beautifully formatted documents by calling the Skywork Office Doc API.


Prerequisites

API Key Configuration (Required First)

This skill requires a SKYWORK_API_KEY to be configured in OpenClaw.

If you don't have an API key yet, please visit: https://skywork.ai

For detailed setup instructions, see: references/apikey-fetch.md


Privacy & Remote Calls (Read Before Use)

  • Remote upload & processing: This skill uploads user-provided files and sends the full, verbatim user request to the Skywork service. Avoid sensitive or confidential content unless you trust the remote service and its data handling policies.
  • Web search: Any web search mentioned in this skill is performed by the server-side Skywork Doc API, not locally by these scripts.

Workflow

Step 0: Intent Recognition (CRITICAL - Do This First)

Before calling any script, analyze the user's request and determine:

  1. Does the user provide reference files, or imply that certain files are needed to proceed with the writing task?

- Look for file paths, attachments, or mentions like "based on this PDF", "use the uploaded document". If you gathered info beforehand (e.g., web search, other tools) that would help the writing task, save it to disk as files and pass them as reference files in Step 1. - If YES: find/extract file paths → proceed to Step 1 - If NO: skip to Step 2

  1. What language should the output be in?

- Analyze the user's request language or explicit requirement. If unspecified, infer from the user's language or the language used in uploaded files. - Set --language parameter: English, 中文简体, etc. - Default: English

  1. What format does the user want?

- Look for keywords: "Word document" → docx, "PDF" → pdf, "HTML" → html, "Markdown" → md - Default if not specified: docx - Supported formats: docx, pdf, html, md

  1. How to write the content prompt?

- The --content parameter is like a rewrite query - Synthesize user's requirements (possibly from multiple conversation turns) - Be specific: describe structure, sections, tone, key points. Avoid being overly verbose or straying far from the user's original requirements; stay close to their intent to ensure accuracy.

Step 1: Parse Reference Files (If User Provides Files)

IMPORTANT:

  • parse_file.py processes one file at a time. For multiple files, call it multiple times.
  • Quote any file path that contains spaces so arguments are passed correctly.
  • Parse all reference material the user needs for the writing task as files. If a file was already parsed earlier in the session, skip re-parsing and reuse its file_id.

Single file:

python3 <skill-dir>/scripts/parse_file.py /path/to/reference.pdf

Multiple files (call the script once for each file; you can run these in parallel to speed things up):

# Parse file 1
python3 <skill-dir>/scripts/parse_file.py /path/to/file1.pdf

# Parse file 2
python3 <skill-dir>/scripts/parse_file.py /path/to/file2.xlsx

# Parse file 3
python3 <skill-dir>/scripts/parse_file.py "/path/to/file3 with blank in it.docx"

Each script call outputs:

[parse] File: reference.pdf (2,458,123 bytes)
...
[success] File parsed!
  File ID:    2032146192467681280
  ...
PARSED_FILE: {"file_id":"2032146192467681280","filename":"reference.pdf","url":""}

Extract all PARSED_FILE outputs and collect them into a JSON array:

[
  {"file_id":"2032146192467681280","filename":"file1.pdf","url":""},
  {"file_id":"2032146192467681281","filename":"file2.xlsx","url":""},
  {"file_id":"2032146192467681282","filename":"file3.docx","url":""}
]

This array will be passed to create_doc.py via the --files parameter below.

Step 2: Create Document

Without reference files:

python3 <skill-dir>/scripts/create_doc.py \
  --title "Document_Title" \
  --content "Detailed content prompt based on user requirements..." \
  --language English \
  --format docx

With reference files (use the collected file_ids from Step 1):

python3 <skill-dir>/scripts/create_doc.py \
  --title "Analysis_Report" \
  --content "Based on the uploaded reference files, create a comprehensive analysis report..." \
  --files '[{"file_id":"id1","filename":"file1.pdf","url":""},{"file_id":"id2","filename":"file2.xlsx","url":""}]' \
  --language English \
  --format docx
The title field should not contain spaces.

Output:

[doc] Creating document: "Analysis Report"
...
[success] Document created!
  File ID:   abc-123
  Path:      /output/doc/some_file.html
  URL:       https://...
  Time:      15.2s

Step 3: Deliver Result

After create_doc.py finishes, parse the final JSON output. It contains two ways for the user to access the document — always provide both:

  • file_url — the remote download link (cloud URL). Include it as a clickable hyperlink so the user can open it in a browser or share it.
  • file_path — the absolute local path where the file was automatically downloaded on their machine. Mention this path explicitly so the user can find the file right away without manual downloading.

Example reply (adapt wording to user's language):

The document is ready! - Download link: 巴西电网行业及充电桩市场调研报告.docx - Local file: /Users/alice/Downloads/巴西电网行业及充电桩市场调研报告.docx

If file_path is empty (download failed), still provide file_url and inform the user they can download manually.


Script Parameters

parse_file.py

  • file - Path to the reference file (required)
  • --json - Output full result as JSON (optional)

Key Output: PARSED_FILE: <json> — extract this for Step 2

create_doc.py

  • --title - Document title (required)
  • --content - Content prompt describing what to write (required)

- This is like a rewrite query — synthesize user's requirements - Be specific about structure, sections, tone, key points

  • --files - JSON array of file objects from parse_file.py (optional)

- Format: [{"file_id":"xxx","filename":"yyy","url":""}]

  • --language - Output language (optional, default: English)

- Examples: English, 中文简体, 中文繁體, 日本語, 한국어, Français, Deutsch, Español,...

  • --format - Output format (optional, default: docx)

- Supported: docx, pdf, html, md


Important Notes

  1. Intent Recognition First - Always analyze the user's request before calling scripts.
  2. Web Search Built-In - The Doc API automatically performs web searches on demand to gather relevant content for document creation. Whether you pre-search for materials externally or not is entirely optional—either approach works fine.
  3. File ID is the Bridge - parse_file.py outputs file_id → pass to create_doc.py via --files.
  4. Server Fetches Content - No need to paste parsed_content manually; the server retrieves it using file_id.
  5. Content is Rewrite Query - Synthesize the user's requirements into a clear, detailed prompt. Even when the user's instructions are long or complex, capture every requirement—don't omit anything.
  6. Generation Takes Time - Document generation typically takes 5-10 minutes, sometimes longer for complex documents.
  7. Scripts Wait Automatically - create_doc.py uses SSE (Server-Sent Events) to maintain a long connection and receives real-time progress updates. The script will automatically wait up to 3~10 minutes for completion. No manual polling needed - just wait for the script to finish and it will output the result.
  8. Progress Display - The script shows a real-time progress bar during generation. The AI agent should relay this to the user to set expectations.
  9. Final Document Delivery - CRITICAL: Upon successful execution of create_doc.py, the output JSON contains both file_url (remote download link) and file_path (local path where the file was automatically saved). You MUST proactively return both to the user: the clickable file_url so they can share or open it online, and the file_path so they can locate it immediately on their machine. If file_path is empty, notify the user and provide file_url for manual download.

Error Handling

ErrorSolution
NO_TOKEN / INVALID_TOKEN / 401Authentication failed (keep the error code / raw message in the reply). Verify SKYWORK_API_KEY is set in OpenClaw or rotate a valid key (see references/apikey-fetch.md). Do not suggest upgrading membership.
Cannot reach serverCheck network connection
JSON parse errorUse double quotes in --files JSON
Insufficient benefitScript or log may show e.g. Insufficient benefit. Please upgrade your account at {url} — see below

How to reply when benefit is insufficient

When you detect the above, reply in the user's current language — do not echo the English message. Use this pattern:

  • Convey: "Sorry, document generation failed. This skill requires upgrading your Skywork membership to use." then a single call-to-action link.
  • Format: One short sentence in the user's language + a link like [Upgrade now →](url) or the equivalent in their language.
  • URL: Extract the upgrade URL from the log/script output (e.g. the at https://... part).

Technical Notes

  • Generation takes 5-10 minutes, set sufficient timeout. Because create_doc.py may run for a long time. As SSE events arrive, display each stage to the user. This keeps them informed during the generation.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude

32.1%
按下载量换算321

Codex

31.37%
按下载量换算314

Cursor

18.38%
按下载量换算184

Gemini CLI

9.21%
按下载量换算92

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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