Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Docker patterns for optimized containerization
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Apply Docker patterns for building optimized and secure container images.
principles:
- Combine related RUN commands
- Sort multi-line arguments alphabetically
- Clean up in same layer
patterns: |
# GOOD: Single layer, clean cache
RUN apt-get update && apt-get install -y \
curl \
git \
vim \
&& rm -rf /var/lib/apt/lists/*
# BAD: Multiple layers, cache remains
RUN apt-get update
RUN apt-get install -y curl
RUN apt-get install -y git
purpose:
- Reduce final image size
- Separate build and runtime dependencies
- Security (no build tools in production)
pattern: |
# Build stage
FROM golang:1.21 AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 go build -o /app/server ./cmd/server
# Runtime stage
FROM gcr.io/distroless/static:nonroot
COPY --from=builder /app/server /server
USER nonroot:nonroot
ENTRYPOINT ["/server"]
principles:
- Run as non-root user
- Pin base image versions
- Use minimal base images
- Don't store secrets in images
patterns: |
# Pin version with digest
FROM node:20-slim@sha256:abc123...
# Create non-root user
RUN groupadd -r appgroup && useradd -r -g appgroup appuser
USER appuser
# Use secrets mount (BuildKit)
RUN --mount=type=secret,id=npmrc,target=/root/.npmrc \
npm install
# .dockerignore for secrets
# .env
# *.pem
# credentials.json
strategies:
- Use slim/alpine base images
- Remove build dependencies
- Use .dockerignore
- Multi-stage builds
minimal_bases:
distroless: "gcr.io/distroless/static"
alpine: "alpine:3.19"
slim: "debian:12-slim"
patterns: |
# Alpine for size
FROM python:3.12-alpine
RUN apk add --no-cache gcc musl-dev
# Distroless for security
FROM gcr.io/distroless/python3
COPY --from=builder /app /app
principles:
- Order from least to most frequently changing
- Copy dependency files first
- Use BuildKit cache mounts
patterns: |
# Copy dependency files first
COPY package.json package-lock.json ./
RUN npm ci
# Then copy source (changes frequently)
COPY . .
RUN npm run build
# BuildKit cache mount
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r requirements.txt
entrypoint:
purpose: Main executable
form: exec form ["executable"]
cmd:
purpose: Default arguments
form: exec form ["arg1", "arg2"]
patterns: |
# Fixed command with variable args
ENTRYPOINT ["python", "app.py"]
CMD ["--port", "8080"]
# docker run myapp --port 3000
# Executes: python app.py --port 3000
# Flexible command
CMD ["python", "app.py"]
# docker run myapp bash
# Executes: bash
purpose: Container health monitoring
interval: how often to check
timeout: max time for check
retries: failures before unhealthy
pattern: |
HEALTHCHECK --interval=30s --timeout=3s --retries=3 \
CMD curl -f http://localhost:8080/health || exit 1
best_practices:
- Use named volumes
- Define networks explicitly
- Use environment files
- Set resource limits
pattern: |
version: "3.8"
services:
app:
build:
context: .
target: production
environment:
- DATABASE_URL
env_file:
- .env
ports:
- "8080:8080"
depends_on:
db:
condition: service_healthy
deploy:
resources:
limits:
cpus: "1"
memory: 512M
networks:
- backend
db:
image: postgres:16-alpine
volumes:
- postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 10s
timeout: 5s
retries: 5
networks:
- backend
volumes:
postgres_data:
networks:
backend:
nodejs: |
FROM node:20-slim AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
FROM gcr.io/distroless/nodejs20
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY . .
CMD ["server.js"]
python: |
FROM python:3.12-slim AS builder
WORKDIR /app
RUN pip install --user -r requirements.txt
FROM python:3.12-slim
WORKDIR /app
COPY --from=builder /root/.local /root/.local
COPY . .
ENV PATH=/root/.local/bin:$PATH
CMD ["python", "app.py"]
go: |
FROM golang:1.21 AS builder
WORKDIR /app
COPY go.* ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 go build -o /server
FROM scratch
COPY --from=builder /server /server
ENTRYPOINT ["/server"]
When writing Dockerfiles:
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
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中文简介正在准备中。当前显示原文说明。
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中文简介正在准备中。当前显示原文说明。
Apache Airflow best practices for DAG authoring, testing, and production deployment
中文简介正在准备中。当前显示原文说明。
Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
中文简介正在准备中。当前显示原文说明。
Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
中文简介正在准备中。当前显示原文说明。