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dockerizedockerize 搜索

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

588

周安装

25

GitHub Stars

公开资料未说明

下载量

206
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:dockerize(dockerize 搜索)
来源仓库:https://github.com/haloydev/agent-skills
仓库路径:skills/dockerize
安装命令:
npx skills add https://github.com/haloydev/agent-skills --skill dockerize
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/haloydev/agent-skills --skill dockerize

简介

专为 Haloy 平台优化的容器化转换工具。

  • 自动检测项目类型并生成适配 Dockerfile。
  • 区分开发与生产环境的配置差异。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。
  • 提示用户注意服务拆分与 haloy.yaml 配置关联。
  • dockerize 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Dockerize for Haloy

Create production-ready Dockerfiles optimized for deployment with haloy.

If the user's request involves docker-compose, multiple containers, or complex orchestration, inform them:

"This skill creates single Dockerfiles for haloy deployment. Haloy works like docker-compose but for production, handling orchestration through its own configuration. If you need multiple services, each should have its own Dockerfile and be defined as separate services in your haloy.yaml. Would you like me to create a Dockerfile for a specific service instead?"

How It Works

  1. Detect the project type by examining:

- package.json with @tanstack/react-start (TanStack Start) - package.json with next (Next.js) - package.json (Node.js/JavaScript/TypeScript) - bun.lockb, pnpm-lock.yaml, package-lock.json, or yarn.lock (Node package manager) - requirements.txt, pyproject.toml, Pipfile (Python) - uv.lock, poetry.lock, or [tool.poetry] in pyproject.toml (Python package manager) - go.mod (Go) - Cargo.toml (Rust) - Gemfile (Ruby) - pom.xml, build.gradle (Java) - composer.json (PHP) - Other indicators

  1. Analyze the application to determine:

- Build process and dependencies - Runtime requirements - Entry point / start command - Required environment variables - Static assets or build outputs

  1. Check for health endpoint and ask user about creating one if missing (see Health Check section below)
  2. Create an optimized Dockerfile following best practices:

- Multi-stage builds to reduce image size - Appropriate base images (Alpine when possible) - Proper layer ordering for cache efficiency - Non-root user for security - HEALTHCHECK instruction pointing to the health endpoint

  1. Provide haloy configuration guidance if no haloy.yaml exists

Health Check Endpoint

A /health endpoint is strongly recommended for all haloy deployments. Before creating the Dockerfile, check if the application has an existing health endpoint.

Why Health Checks Matter

Haloy uses health checks to:

  • Zero-downtime deployments: New containers must pass health checks before receiving traffic
  • Auto-recovery: Unhealthy containers are automatically restarted
  • Deployment validation: Deployments fail fast if the app cannot start properly

Without a health check, haloy cannot verify your application is actually working, which can lead to routing traffic to broken containers.

Check for Existing Health Endpoint

Search for existing health endpoints:

  • /health, /healthz, /api/health, /_health
  • Look for route definitions returning status 200 or {status: "ok"}

Ask the User

If no health endpoint exists, ask the user:

"Your application doesn't appear to have a health check endpoint. Haloy uses health checks for zero-downtime deployments and auto-recovery. Would you like me to create a /health endpoint?"

If the user agrees, create a minimal health endpoint appropriate for the framework:

TanStack Start (src/routes/health.tsx):

import { createFileRoute } from "@tanstack/react-router";

export const Route = createFileRoute("/health")({
  server: {
    handlers: {
      GET: async () => {
        return Response.json({ status: "ok" });
      },
    },
  },
});

Express/Node.js:

app.get('/health', (req, res) => {
  res.json({ status: 'ok' });
});

Next.js (app/health/route.ts or pages/api/health.ts):

export async function GET() {
  return Response.json({ status: 'ok' });
}

FastAPI:

@app.get("/health")
def health():
    return {"status": "ok"}

Go (net/http):

http.HandleFunc("/health", func(w http.ResponseWriter, r *http.Request) {
    w.Header().Set("Content-Type", "application/json")
    w.Write([]byte(`{"status":"ok"}`))
})

Health Check Best Practices

  • Return quickly (avoid database queries in the basic health check)
  • Return HTTP 200 for healthy, non-200 for unhealthy
  • Keep the response minimal: {"status": "ok"} is sufficient
  • Place at a consistent path: /health is the convention

Decision Flow

Use defaults unless a critical value is missing. Only ask the user when needed.

  • Health endpoint: Ask only if no existing health route is found.
  • Start command: Use existing scripts.start or framework default. Ask if no clear entry point exists.
  • Port: Use common defaults (3000 for Node, 8000 for Python) unless a config file or env var specifies a port.
  • Package manager: Infer from lockfiles. If none exist, default to npm for Node and pip for Python.

Base Image Versions

IMPORTANT: Always detect the local runtime version to ensure dev/prod consistency. Do not rely on your training data for version numbers.

Version selection priority:

  1. Project config files (highest priority) - .nvmrc, .node-version, engines.node, .python-version, go.mod, rust-toolchain.toml, .ruby-version, etc.
  2. Local installed version - run the runtime's version command
  3. Fallback to references/base-images.md - only if above methods fail

See references/base-images.md for the full version detection guide, config file locations, version-to-tag mappings, and current recommended fallback versions.

Use slim variants by default, alpine for smaller images (some compatibility tradeoffs). Always use specific major.minor tags, never latest.

Dockerfile Best Practices

General Principles

  • Use specific version tags, not latest (see Base Image Versions above)
  • Minimize layers by combining RUN commands
  • Order instructions from least to most frequently changing
  • Use .dockerignore to exclude unnecessary files
  • Run as non-root user in production
  • Include EXPOSE for documentation

Multi-stage Build Pattern

# Build stage (verify current LTS version in references/base-images.md)
FROM node:24-slim AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
ENV NODE_OPTIONS="--max-old-space-size=4096"
RUN npm run build

# Production stage
FROM node:24-slim AS runner
WORKDIR /app
RUN addgroup -g 1001 -S appgroup && adduser -u 1001 -S appuser -G appgroup
COPY --from=builder --chown=appuser:appgroup /app/dist ./dist
COPY --from=builder --chown=appuser:appgroup /app/node_modules ./node_modules
USER appuser
EXPOSE 3000
CMD ["node", "dist/index.js"]

Framework-Specific Considerations

TanStack Start: See references/tanstack-start.md for detailed instructions. Key points:

  • Requires "type": "module" in package.json
  • Requires vite.config.ts with tanstackStart() and nitro() plugins
  • Build output goes to .output/server/index.mjs
  • Use Node 24 slim with pnpm via corepack
  • Include a /health route for health checks

Next.js: Use standalone output mode, copy .next/standalone and .next/static

Vite/React: Build static files, serve with nginx or a Node server

Python/FastAPI: Use slim images, install with --no-cache-dir

Go: Build static binary, use scratch or distroless for minimal image

Output Format

After creating the Dockerfile, provide output in this order:

  1. The complete Dockerfile
  2. A .dockerignore file if one doesn't exist
  3. Instructions to build and test locally: docker build -t myapp. docker run -p 3000:3000 myapp
  4. If no haloy.yaml exists, advise the user: "To complete your haloy setup, you'll need a haloy.yaml configuration file. You can either run the /haloy-config skill to generate one, or check the haloy documentation for configuration options."

Reference Files

Read the appropriate reference file for detailed instructions:

  • Base Images: references/base-images.md - Current recommended versions for all runtimes (check this first!)
  • TanStack Start: references/tanstack-start.md - Complete guide including health checks, database setup, and haloy.yaml examples

When to Create.dockerignore

Always check for an existing .dockerignore. If missing, create one appropriate for the project type. Common exclusions:

node_modules
.git
.env
.env.*
*.log
dist
.next
.output
.vinxi
__pycache__
*.pyc
.venv
target
haloy.yaml

Important: Always include haloy.yaml in .dockerignore. This file is used by haloy for deployment configuration but is not needed inside the container. Excluding it improves Docker layer caching since changes to haloy.yaml (like updating domains or environment variables) won't invalidate the build cache.

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

33.02%
按下载量换算68

Codex

32.67%
按下载量换算67

Cursor

20.08%
按下载量换算41

Gemini CLI

10.28%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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