Dockerizes backend projects with auto-detection, latest base images via web search, Dockerfile generation, and Makefile with port override support.

This skill provides guidance for efficiently building, testing, and working with

Docker build and test workflow with mandatory pre-push validation checklist to prevent CI/CD failures

Docker integration with CI/CD pipelines for automated builds, testing, and deployments

Use when defining and running multi-container Docker applications with Docker Compose YAML configuration.

Operations for local container stacks defined in docker-compose.yaml or docker-compose/ directory. Handles AI/ML services (Ollama, ComfyUI), standalone databases, and local observability stacks. Use for 'docker compose' commands, checking container logs, or restarting specific local services. For cluster Grafana/Prometheus (via kubectl or cluster/manifests/), use kubernetes-operations instead.

Converts Docker Compose configurations to NixOS modules using the dendritic pattern with Arion. Creates modules with system users, sops secrets, Arion docker-compose config, and Tailscale integration. Use when converting docker-compose.yaml files to NixOS modules or creating new Arion-based services.

Multi-service orchestration with Docker Compose, focusing on network isolation, environment-specific profiles, and service discovery. Triggers: docker-compose, container-networking, docker-profiles, service-discovery, yaml-config.

Expert knowledge of Docker containerization including Dockerfile best practices, docker-compose configuration, Alpine Linux specifics, multi-stage builds, security, health checks, and container optimization. Use when working with Dockerfile, docker-compose.yml, container builds, debugging container issues, or deploying to container platforms.

Comprehensive Docker containerization for Python/FastAPI applications, from simple hello-world apps to production-ready deployments with security best practices, multi-stage builds, and optimized configurations. Use when containerizing Python/FastAPI applications for development, testing, or production environments, including Dockerfile creation, Docker Compose setup, security hardening, and production optimization.

Local Docker development workflow for the Orient. Use when asked to build Docker images, run containers locally, debug container issues, optimize builds, use docker-compose, or troubleshoot containerization problems. Covers per-package Dockerfiles, compose layering, build optimization, and local debugging.

Comprehensive Windows Git Bash and MINGW path conversion guide for Docker volume mounts and commands

Docker health checks and troubleshooting. Use when building Docker images, running containers, or debugging deployment issues. Validates backend API and worker services.

Generate Docker Compose and Dockerfile configurations for local development through interactive Q&A. Supports PHP/Laravel, WordPress, Drupal, Joomla, Node.js, and Python stacks with Nginx, Supervisor/PM2, databases, Redis, and email testing. Always asks clarifying questions before generating configurations.

Manage Docker containers and services using Docker MCP. Start/stop containers, monitor logs, check health status, inspect configurations, debug container issues, and manage multi-container applications. Use when working with containerized services or debugging Docker issues.

Multi-stage builds for optimized, minimal production images with build/runtime separation

Containerization for TypeScript/Node.js applications. Use when deploying Node.js backends, need consistent dev environments, or setting up CI/CD pipelines. Covers multi-stage builds, docker-compose for development, and production optimization. Choose this skill for containerizing tRPC/Express APIs with Prisma.

docker-rocker

Guidance for running and debugging tests in Docker environments for FastAPI + Vue/Tailwind projects.

Write PRDs, specs, and project context optimized for coding assistants (Claude Code, Cursor, Copilot, Custom GPTs). Includes CLAUDE.md generation, session planning, and templates for creating documentation that tools can execute effectively.

Analyzes code changes and identifies documentation gaps. Scans git history, catalogs existing docs, and generates comprehensive analysis reports.

Diátaxis documentation framework for organizing content into four categories - tutorials (learning-oriented), how-to guides (problem-solving), reference (technical specifications), and explanation (conceptual understanding). Essential for creating and organizing documentation in docs/ directory.

Validate consistency across SEED Design component documentation layers (design guidelines in ./docs/content/docs/components, Rootage specs in ./packages/rootage/components, and React docs in ./docs/content/react/components). Use when auditing documentation completeness, before releases, or validating new component docs.

Comprehensive guide for creating by-example tutorials - code-first learning path with 75-90 heavily annotated examples achieving 95% language coverage. Covers five-part example structure, annotation density standards (1-2.25 comments per code line PER EXAMPLE), self-containment rules, and multiple code blocks for comparisons. Essential for creating by-example tutorials for programming languages on educational platforms

Technical documentation discovery via context7 and web search. Capabilities: library/framework docs lookup, topic-specific search. Keywords: llms.txt, context7, documentation, library docs, API docs. Use when: searching library documentation, finding framework guides, looking up API references.

Explores internal documentation (brain repos, Notion) for context

Fetch current documentation for libraries to ensure accurate, up-to-date code generation.

Generate Level 3 (documentation sites) from design docs. Use when

General reference documents by domain. Use when creating architecture docs, strategy documents, specs, or guides.

docs-keeper

Orchestrates comprehensive documentation management by coordinating docs-analyzer, docs-bootstrapper, and mermaid-expert skills. Proactively monitors code changes and ensures documentation stays synchronized with the codebase.

Activates the Technical Writer to generate, update, or refactor internal project documentation. Use when creating READMEs, ADRs, or technical guides.

Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel

Generate complete, professional documentation for any project.

Automatically applies when drafting or revising documentation to enforce repository voice, clarity, and navigation patterns.

Keep documentation in sync with code changes across README, docs sites, API docs, runbooks, and configuration. Use when the user asks to update docs, ensure docs match behavior, or prepare docs for a release/PR.

Comprehensive link validation methodology for markdown links including format requirements, path validation, broken link detection, external link verification, and checker implementation patterns

Generate language-specific docstrings for C#, Java, Python, and TypeScript following industry standards (PEP 257, Javadoc, JSDoc, XML documentation)

Use when symfony doctrine batch processing

Use when symfony doctrine fetch modes

Use when symfony doctrine fixtures foundry

Use when symfony doctrine migrations

Use when symfony doctrine relations

Use when symfony doctrine transactions

Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.

Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.

Instructs AI agents on documentation standards for design docs, folder READMEs, source code interfaces, and test cases

Process scanned documents and images containing Chuukese text using OCR with specialized post-processing for accent characters and traditional formatting. Use when working with scanned books, documents, or images that contain Chuukese text that needs to be digitized.

Document CI/CD, deployment, and operational procedures. Use when creating runbooks, documenting deployment processes, or writing operational guides.