Token导航 LogoToken导航

Agent Skill · 研究检索

skywork-document(天空文档)

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。

skywork-document 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 33,703。

总安装 2,322周安装 85GitHub Stars 124下载 1,000核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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'

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/skywork-document

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/skyworkai/skywork-skills --skill 'Skywork Docu…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

skywork-document 怎么安装?

在终端执行 npx skills add https://github.com/skyworkai/skywork-skills --skill 'Skywork Document'。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skywork-document 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

skywork-document 需要什么权限?

权限级别是接触敏感数据。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。

skywork-document 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

skywork-document 用的人多吗?

公开数据是累计安装 2,322 次,近一周安装 85 次,下载 1,000 次,GitHub 124 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

skywork-document 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skywork-document

天空文档 · 本页

2,322124接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

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

接触敏感数据

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills