菜单
Dockerfile and Docker Compose patterns with multi-stage builds, layer optimization, security hardening, and health checks. Use when containerizing applications, writing Dockerfiles, or setting up Docker Compose environments.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | docker-setup |
| description | Dockerfile and Docker Compose patterns with multi-stage builds, layer optimization, security hardening, and health checks. Use when containerizing applications, writing Dockerfiles, or setting up Docker Compose environments. |
| compatibility | Requires Docker |
| metadata | {"version":"1.0"} |
New container needed → What stack?
├─ Node/TypeScript → Use assets/Dockerfile.node.template
├─ Python → Use assets/Dockerfile.python.template
└─ Other → Follow multi-stage pattern below
# Stage 1: Build
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build
# Stage 2: Production
FROM node:20-alpine
RUN addgroup -S app && adduser -S app -G app
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
USER app
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]
node:20.11-alpine not node:latestWeb accessibility checklist covering WCAG guidelines, ARIA patterns, keyboard navigation, color contrast, screen reader support, and form accessibility. Use when building UI components, reviewing frontend code, or when accessibility is mentioned.
When to refactor vs leave alone, code smell detection, safe refactoring steps, and common transformation patterns. Use when asked to refactor code, clean up technical debt, or when reviewing code that shows structural problems.
Authentication and authorization patterns including JWT vs sessions, OAuth flows, token refresh, RBAC, and password handling. Use when implementing login, signup, token management, role-based access, or reviewing auth security.
Structured research methodology with scoping, multi-source collection, triangulation, source credibility scoring, and anti-hallucination guards. Use when investigating technologies, comparing tools, evaluating libraries, exploring unfamiliar codebases, or producing research reports.
Build MCP (Model Context Protocol) servers in TypeScript or Python. Use when creating custom tools, resources, or prompts that extend AI assistant capabilities via MCP.
Structured logging patterns, log levels, trace IDs, and what to log vs what never to log. Use when setting up logging, choosing log levels, implementing request tracing, or reviewing log output quality.