Token导航 LogoToken导航TokenDH.com
前端设计敏感数据github未标认证来源可访问许可证需确认审计异常

windmill-workflows风车工作流程

Agent Skill

windmill-workflows 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

220

周安装

9

GitHub Stars

公开资料未说明

下载量

71
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:windmill-workflows(风车工作流程)
来源仓库:https://github.com/dimdasci/vps-setup
仓库路径:skills/windmill-workflows
安装命令:
npx skills add https://github.com/dimdasci/vps-setup --skill windmill-workflows
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/dimdasci/vps-setup --skill windmill-workflows

简介

windmill-workflows 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息,适合整理代码变更和项目状态。

  • 适用于围绕仓库状态、代码变更或协作事项进行整理的场景,支持多宿主环境。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 安装前建议确认权限范围和维护状态,注意可能触发联网或命令执行操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Windmill Workflow Engine

Windmill is an open-source workflow engine for building internal tools with TypeScript, Python, Go, Bash, and more. This skill focuses on self-hosting and custom worker images for PDF/image processing.

Quick Reference

TaskCommand/Location
Web UIhttps://windmill.example.com
Default loginadmin@windmill.dev / changeme
View logsdocker compose logs -f windmill-worker
Restart workersdocker compose restart windmill-worker
Build custom workerdocker compose build windmill-worker
Scale workersSet replicas: N in docker-compose.yml

Architecture

Caddy → Server (port 8000) → PostgreSQL
              ↓
         Workers (N replicas) → Job Containers
              ↓
            LSP (port 3001)
  • Server: API + frontend
  • Workers: Execute jobs, spawn Docker containers
  • LSP: Editor intellisense
  • PostgreSQL: State and job queue

Custom Worker with PDF/Image Tools

Build a worker with pdfcpu, Poppler, and libvips (~150MB overhead):

FROM ghcr.io/windmill-labs/windmill:main

USER root

RUN apt-get update && apt-get install -y --no-install-recommends \
    poppler-utils \
    libvips-tools \
    && rm -rf /var/lib/apt/lists/*

# Add pdfcpu
RUN curl -fsSL "https://github.com/pdfcpu/pdfcpu/releases/download/v0.11.1/pdfcpu_0.11.1_Linux_x86_64.tar.xz" \
    | tar -xJf - -C /usr/local/bin --strip-components=1

Included Tools

ToolPurpose
pdftotextExtract text from PDFs
pdfimagesExtract embedded images
pdftoppmConvert PDF to images
pdfcpuMerge, split, watermark, encrypt
vipsFast image resize/convert
vipsthumbnailUltra-fast thumbnails

Common Scripts

Extract text from PDF

import { $ } from "bun";

export async function main(pdfPath: string): Promise<string> {
  return await $`pdftotext -layout ${pdfPath} -`.text();
}

Convert PDF to images

import { $ } from "bun";

export async function main(pdfPath: string): Promise<string[]> {
  const outDir = `/tmp/pdf_${Date.now()}`;
  await $`mkdir -p ${outDir}`;
  await $`pdftoppm -png -r 300 ${pdfPath} ${outDir}/page`;
  return (await $`ls ${outDir}/*.png`.text()).trim().split('\n');
}

Resize image (fast, memory-efficient)

import { $ } from "bun";

export async function main(imagePath: string, width: number): Promise<string> {
  const output = `/tmp/resized_${Date.now()}.jpg`;
  await $`vipsthumbnail ${imagePath} -s ${width} -o ${output}[Q=85,strip]`;
  return output;
}

Merge PDFs

import { $ } from "bun";

export async function main(pdfs: string[]): Promise<string> {
  const output = `/tmp/merged_${Date.now()}.pdf`;
  await $`pdfunite ${pdfs.join(' ')} ${output}`;
  return output;
}

libvips vs ImageMagick

libvips is chosen for memory-constrained environments:

  • 4-8x faster than ImageMagick
  • 90% less memory (~200MB vs ~3GB for large images)
  • Streaming architecture (processes in chunks)

Docker Compose Example

windmill-worker:
  build:
    context: ./windmill-worker
    dockerfile: Dockerfile
  image: windmill-worker-custom:latest
  environment:
    - DATABASE_URL=${DATABASE_URL}
    - MODE=worker
    - WORKER_GROUP=default
  volumes:
    - /var/run/docker.sock:/var/run/docker.sock:ro
  mem_limit: 1.5g
  cpus: 1.0
  deploy:
    replicas: 2

Resource Guidelines

ComponentMemoryCPU
Server1GB1.0
Worker1.5GB1.0
LSP512MB0.5

Scaling rule: 1 worker per 1 vCPU and 1-2 GB RAM

Reference Files

FileWhen to Read
configuration.mdEnvironment variables, Docker setup
custom-worker.mdBuilding worker with PDF/image tools
pdf-image-scripts.mdScript examples for processing
troubleshooting.mdCommon issues and diagnostics

Official Documentation

Troubleshooting Quick Guide

IssueCheck
Jobs stuck in queuedocker compose logs windmill-worker - check DB connection
Custom tools missingVerify using custom image, rebuild if needed
Memory crashIncrease mem_limit, reduce parallel jobs
Permission deniedCheck Docker socket mount
LSP not workingdocker compose ps windmill-lsp

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

34.46%
按下载量换算24

Claude

28.26%
按下载量换算20

Cursor

20.49%
按下载量换算15

Gemini CLI

10.27%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

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

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

继续浏览同类 Skills