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Docker イメージの構築、最適化、マルチステージビルド、ネットワーク、ボリューム管理。本番環境デプロイメント用のベストプラクティス。
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| name | docker-patterns |
| description | Docker イメージの構築、最適化、マルチステージビルド、ネットワーク、ボリューム管理。本番環境デプロイメント用のベストプラクティス。 |
| origin | ECC |
本番環境対応のDocker イメージとコンテナ。
FROM node:18-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm install
FROM node:18-alpine
WORKDIR /app
COPY --from=build /app/node_modules ./node_modules
COPY . .
CMD ["node", "server.js"]
# キャッシュを活用するため、変更がない部分を上に
FROM node:18-alpine
WORKDIR /app
# 依存関係（変更が少ない）
COPY package*.json ./
RUN npm install
# アプリケーション（頻繁に変更）
COPY . .
CMD ["node", "server.js"]
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD node healthcheck.js
version: '3.8'
services:
app:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=production
volumes:
- ./data:/app/data
depends_on:
- db
db:
image: postgres:15
environment:
- POSTGRES_PASSWORD=secret
詳細については、ドキュメントを参照してください。
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.