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docker

ALWAYS activate when the user's query involves Docker in any way — even if it also matches other skills. If the words docker, Dockerfile, docker-compose, compose.yml, container, or image appear in the query, this skill MUST be used. Covers: writing or editing Dockerfiles and compose files, adding services (postgres, redis, etc.) to compose, volume mounts and data persistence, docker build failures (layer caching, npm install issues), healthchecks and service startup ordering (depends_on), environment variables in containers, port mapping, container crashes and exit codes (OOM/137), non-root users, multi-stage builds, image optimization, .dockerignore, and deploying to container runtimes. Takes priority over general implementation or debugging skills when Docker infrastructure is the subject.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md4.1 KB
  • references/compose.md1.7 KB
  • references/dockerfile.md2.4 KB
  • references/production.md2.3 KB
  • references/security.md1.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Docker

Project-specific containerization patterns for Dockerfile and Docker Compose.

Architecture Decisions

Image Building

  1. Minimal base images — Use slim/alpine variants; pin to digest for reproducibility.
  2. Multi-stage builds — Separate build dependencies from runtime.
  3. Layer optimization — Combine RUN commands; place frequently changed files last.
  4. COPY over ADD — ADD only for tar extraction or remote URLs.

Security

  1. Non-root users — Always use UID >10000; never run as root in production.
  2. No secrets in images — Use Docker secrets or runtime env injection.
  3. .dockerignore required — Exclude .git, .env, node_modules, build artifacts.

Runtime

  1. One process per container — Single responsibility principle.
  2. Healthchecks required — Define HEALTHCHECK in Dockerfile or Compose.
  3. Resource limits — Always set mem_limit and cpus in production.

Compose

  1. Network segmentation — Dedicated networks per service group.
  2. Named volumes — Never use anonymous volumes in production.
  3. depends_on with healthchecks — Use condition: service_healthy.
  4. Environment separation — Use override files for dev/staging/prod.

Gotchas

  • COPY . . before RUN npm install busts the cache on EVERY code change. Copy package*.json first, install, THEN copy source.
  • Alpine uses musl libc, not glibc. Python packages with C extensions (numpy, pandas, cryptography) may fail to install or need apk add build dependencies. Consider -slim variants if you hit this.
  • ENTRYPOINT ["python", "app.py"] (exec form) handles signals correctly. ENTRYPOINT python app.py (shell form) wraps in /bin/sh -c and PID 1 won't receive SIGTERM — containers take 10s to stop.
  • Docker layer cache is invalidated from the FIRST changed layer downward. A changed COPY near the top rebuilds everything below it.
  • depends_on without condition: service_healthy only waits for container START, not readiness. Your app will crash connecting to a database that's still initializing.
  • host.docker.internal works on Docker Desktop (Mac/Windows) but NOT on Linux. Use --network host or explicit container networking on Linux.
  • Build args (ARG) are NOT available after FROM in multi-stage builds unless re-declared. Each stage starts fresh.
  • docker compose up reuses existing containers. After changing Dockerfile, you need docker compose up --build or docker compose build first.
  • Volume mounts override the container's filesystem — if your node_modules are built inside the container but you mount .:/app, the host's (possibly empty) node_modules shadows them. Use a named volume for node_modules.
  • EXPOSE is documentation only — it does NOT publish the port. You still need -p 8080:8080 or ports: in compose.
  • Docker's default bridge network does NOT provide DNS resolution between containers. Use a custom network or compose's default network.

References

When you need...Read
Dockerfile patterns, CMD vs ENTRYPOINTdockerfile.md
Compose services, networks, volumescompose.md
Security hardeningsecurity.md
Production deploymentproduction.md

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

ask

無料

Answer questions about code, architecture, and technical decisions — no implementation. Trigger on questions asking 'why', 'what does this do', 'what is the purpose of', 'explain', 'what's the difference', 'compare', or 'what are the tradeoffs' — even when referencing specific files, code snippets, or inline code. The key signal is the user wants to UNDERSTAND something, not change it. Do NOT trigger for requests to build, fix, plan, review, research, or add/modify code.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

Use this skill for any Python backend work in this project: building FastAPI endpoints, writing service functions, defining Pydantic/SQLModel schemas, running Alembic migrations, or debugging 422 errors. Essential for authentication and authorization patterns — setting up get_current_user, is_superuser checks, admin-only guards, role-based access, and dependency injection chains like Depends(). Also covers middleware, background tasks, async SQLAlchemy sessions, ORM relationship loading, and request/response design. Activate whenever the question involves Python API code, FastAPI patterns, or backend architecture in this codebase. Not for frontend, Docker, CI/CD, or infrastructure.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

cook

無料

Implement, build, create, or add any feature, endpoint, page, component, or functionality. Use this skill whenever the user asks you to write new code or make code changes — whether it's adding an API endpoint, building a UI page, creating an export feature, wiring up a webhook, implementing a search/filter, or any other hands-on coding task. This is the default skill for all 'build this', 'add this', 'create this', 'wire up', 'implement' requests. Covers the full cycle: clarify requirements, plan if needed, write code, verify, and review. Do NOT use for pure research, debugging, documentation, or explanation — only when the user wants working code delivered.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

Use when the user wants to save knowledge as a file so others don't have to rediscover it — "turn this into a doc", "write this up", "document how X works", "we figured this out and want to capture it", "nobody should have to figure this out again". Covers any request to create or update durable written artifacts: onboarding guides, runbooks, ADRs, API docs, architecture notes, postmortems, changelogs, setup guides. The trigger: user wants knowledge captured in a file for future reference, not just a conversation. Do NOT use when still making decisions (→ give-plan), just asking for explanation without a file (→ ask), or writing code (→ cook).

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

diagnose

無料

Investigate unexpected behavior and mysterious bugs. Use when the cause of a problem is unknown and the user needs to understand WHY something is happening — symptoms like: sudden unexplained changes in metrics or behavior, works locally but not in staging/production, inconsistent or intermittent failures, correct code producing wrong results, operations succeeding but having no effect, environment-specific failures, duplicate executions, stale data, or any "why did this change?" or "why is this happening?" situation. Covers infrastructure anomalies (cache hit rates dropping, latency spikes, queue behavior shifts) as well as code bugs. The key signal is confusion about root cause, not a request to implement a known fix. Do NOT use for feature requests, known fixes, planning, or documentation tasks.

日本語の概要は準備中です。原文の説明を表示しています。

avibebuilder/claude-prime1202026年5月17日 更新

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