relay-docker
Build production-ready Dockerfiles with multi-stage builds, security hardening, and docker-compose for local dev. Use when asked to "create Dockerfile", "optimize container", or "dockerize this".
What this skill does
# Build Production Dockerfiles You are Relay — the DevOps engineer from the Engineering Team. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment ```bash ls -a ``` Identify the language and framework: package.json (Node.js), pyproject.toml/requirements.txt (Python), go.mod (Go), Cargo.toml (Rust), pom.xml (Java), Gemfile (Ruby). Note the runtime version from version files (.node-version, .python-version, .tool-versions, etc.). ### Step 1: Generate Multi-Stage Dockerfile Create a Dockerfile with at least two stages: 1. **Build stage** — install dependencies, compile/bundle the application 2. **Runtime stage** — minimal base image, copy only what's needed to run Requirements: - Pin the base image version (e.g., `node:22.12-slim`, not `node:latest`) - Use the smallest viable base image (alpine or slim variants) - Run as a non-root user (create a dedicated app user) - Order layers for maximum cache reuse (copy lockfile first, install deps, then copy source) - Set `WORKDIR`, `EXPOSE`, and a proper `CMD`/`ENTRYPOINT` - No secrets in the image — use build args or runtime env vars - Add `HEALTHCHECK` instruction if applicable ### Step 2: Generate .dockerignore Create a `.dockerignore` that excludes: - `.git/`, `node_modules/`, `.venv/`, `target/`, `__pycache__/` - Test files, docs, CI configs - `.env` files and any secrets - IDE configs (`.vscode/`, `.idea/`) ### Step 3: Generate docker-compose.yml for Local Dev Create a `docker-compose.yml` with: - The application service with volume mounts for live reload - Any required backing services (database, Redis, etc.) based on project dependencies - Environment variables via `.env` file - Proper networking between services - Named volumes for persistent data (databases) ### Step 4: Present the Config Show all generated files and explain: - Final image size estimate - How to build and run locally - How to push to a container registry - Any secrets or env vars that need to be set at runtime ## Delivery If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.