docker-patterns
Official用于本地开发的Docker和Docker Compose模式,包括容器安全、网络、卷策略和多服务编排。
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
---
name: docker-patterns
description: 用于本地开发的Docker和Docker Compose模式,包括容器安全、网络、卷策略和多服务编排。
origin: ECC
---
# Docker 模式
适用于容器化开发的 Docker 和 Docker Compose 最佳实践。
## 何时启用
* 为本地开发设置 Docker Compose
* 设计多容器架构
* 排查容器网络或卷问题
* 审查 Dockerfile 的安全性和大小
* 从本地开发迁移到容器化工作流
## 用于本地开发的 Docker Compose
### 标准 Web 应用栈
```yaml
# docker-compose.yml
services:
app:
build:
context: .
target: dev # Use dev stage of multi-stage Dockerfile
ports:
- "3000:3000"
volumes:
- .:/app # Bind mount for hot reload
- /app/node_modules # Anonymous volume -- preserves container deps
environment:
- DATABASE_URL=postgres://postgres:postgres@db:5432/app_dev
- REDIS_URL=redis://redis:6379/0
- NODE_ENV=development
depends_on:
db:
condition: service_healthy
redis:
condition: service_started
command: npm run dev
db:
image: postgres:16-alpine
ports:
- "5432:5432"
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: app_dev
volumes:
- pgdata:/var/lib/postgresql/data
- ./scripts/init-db.sql:/docker-entrypoint-initdb.d/init.sql
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 5s
timeout: 3s
retries: 5
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
- redisdata:/data
mailpit: # Local email testing
image: axllent/mailpit
ports:
- "8025:8025" # Web UI
- "1025:1025" # SMTP
volumes:
pgdata:
redisdata:
```
### 开发与生产 Dockerfile
```dockerfile
# Stage: dependencies
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci
# Stage: dev (hot reload, debug tools)
FROM node:22-alpine AS dev
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
EXPOSE 3000
CMD ["npm"Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-f2f023c2-cb15-494a-8819-7f303fcdef25",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
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