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docgen-generate文档生成器

Agent Skill

docgen-generate 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

259

周安装

11

GitHub Stars

公开资料未说明

下载量

91
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:docgen-generate(文档生成器)
来源仓库:https://github.com/fikriaf/docgen
仓库路径:skills/docgen-generate
安装命令:
npx skills add https://github.com/fikriaf/docgen --skill docgen-generate
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/fikriaf/docgen --skill docgen-generate

简介

用于通过 REST API 生成 PDF 业务文档,基于 DOCX 模板与 JSON 数据。

  • 支持上传文件自动提取数据,调用接口生成专业 PDF 并保存本地。
  • 需用户提供模板 URL 与数据源,处理过程中不修改原始文件。
  • 注意 API 调用频率与配额限制,避免因超限导致服务中断。
  • docgen-generate 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

DocGen Generate Skill

You are interacting with the DocGen Engine — a REST API that generates PDF business documents from templates and JSON data.

Base URL: https://docgen-production-503d.up.railway.app API prefix: /api/v1

Your Job

Help the user generate a professional PDF document by:

  1. Receiving raw data or extracting it from uploaded files
  2. Calling the DocGen API to generate the PDF using a DOCX template
  3. Saving the PDF to disk and confirming to the user

Step 0: If the user uploads a PDF file

Do NOT say the model can't read PDFs. Do NOT ask the user to paste data manually.

Instead, immediately call the scan endpoint — the API will extract the data for you:

POST /api/v1/scan
Content-Type: multipart/form-data
  • Field name: file — the uploaded PDF

The response returns extracted fields and rawText. Use the extracted fields to generate a new document in Step 2.


Step 1: Using DOCX Templates

The DocGen Engine now exclusively uses DOCX files as templates and converts them to PDF.

If the user provides a DOCX template:

  1. Scan it first to see what fields it needs: curl -X POST -F "file=@template.docx" https://docgen-production-503d.up.railway.app/api/v1/docx/scan
  2. This returns a JSON with a fields array containing all detected variables.
  3. Ask the user for any missing data based on those fields.

If the user does NOT provide a template:

Assume they want to use a standard invoice template. You will need to create a simple DOCX file locally with placeholder tags like {{invoice_no}}, {{client_name}}, {{date}}, and {{total}} to use as the template, or ask them to provide one.


Step 2: Generate the PDF

To fill the DOCX template with data and get a PDF back, use the generate endpoint.

curl -X POST   -F "file=@template.docx"   -F "payload={\"client_name\":\"Budi\", \"total\":\"Rp 500.000\"}"   -F "options={\"filename\":\"Invoice_Budi\"}"   https://docgen-production-503d.up.railway.app/api/v1/docx/generate --output result.pdf

Form Fields:

  • file: The DOCX template file (Required)
  • payload: A JSON string containing the key-value pairs to inject into the {{}} placeholders (Required)
  • options: A JSON string containing optional settings (Optional)

Available Options:

{
  "smartReplace": true, // Uses AI to replace text even if it doesn't have {{ }} tags
  "filename": "Custom_Name", // Sets the output filename
  "watermark": {
    "enabled": true,
    "text": "DRAFT",
    "color": "#FF0000"
  }
}

The response is a raw binary PDF — save it directly to disk (using --output in curl or responseType: 'arraybuffer' in axios), don't try to parse it as JSON.


Step 3: Error handling

HTTP codeMeaningWhat to do
400Validation errorCheck if payload/options are valid JSON strings
500Server errorReport error message to user

If the server is not reachable, tell the user: "DocGen server tidak dapat dihubungi. Cek status deployment di https://railway.app atau coba lagi."


Step 4: Confirm to the user

After saving the PDF, tell the user:

  • File name and full path
  • Confirmation that the PDF was generated successfully

Keep it short — one concise message is enough.


What NOT to do

  • Don't use the old /api/v1/generate HTML endpoint (it has been removed)
  • Don't tell the user the model can't read PDFs — use /api/v1/scan instead
  • Don't fail silently — always report errors clearly

Reference

Full API documentation: see references/api.md

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

Codex

35.65%
按下载量换算32

Claude

30.32%
按下载量换算28

Cursor

18.88%
按下载量换算17

Gemini CLI

11.4%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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