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.

docker-rocker

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.

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

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.

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)

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

Expert in creating technical documentation, architectural decision records (ADRs), and RFCs. Specializes in structured knowledge management and system documentation. Use when writing technical docs, ADRs, RFCs, or system design documents.

Create or update documentation for features, APIs, or components

Automatically maintains project documentation including CHANGELOG.md, README files, inline code documentation, and cross-references. Use proactively after implementing features, fixing bugs, making API changes, or completing significant work. Updates CHANGELOG.md with conventional commit format, adds README sections for new features, generates inline documentation for new functions/structs/components, and ensures documentation cross-references are up-to-date. Covers Rust doc comments, TypeScript JSDoc, conventional commits (feat/fix/docs/refactor/test/chore), and multi-level README organization.

Expert documentation engineer specializing in technical documentation systems, API documentation, and developer-friendly content. Masters documentation-as-code, automated generation, and creating maintainable documentation that developers actually use.

Defines the standard operating procedure for querying Context7 to verify documentation before writing code. Use whenever working with Appwrite, Next.js, or any third-party SDK.

documentation-specialist

Automated documentation maintenance for Vigil Guard v2.0.0's documentation files. Use for syncing docs with code changes, version updates, API generation, cross-reference validation, 3-branch architecture docs, and documentation creation.

Keeps documentation in perfect sync with code and knowledge. Integrates with Oracle to leverage learnings, Summoner for design docs, and Style Master for style guides. Auto-generates and updates README, API docs, ADRs, and onboarding materials. Detects stale documentation and ensures it evolves with the codebase.

Documents all UI state variations (default, empty, error, loading, success) from Figma designs. Use when defining complete UI specifications before implementation.

Automated documentation auditing - ensures CLAUDE.md coverage, updates stale docs, recommends structural improvements

Customizes Docusaurus for the Physical AI & Humanoid Robotics textbook with specialized UI/UX, dark mode, accessibility features, and interactive elements.

Use when looking up information from the latest Docusaurus documentation at https://docusaurus.io/docs

Build fast, SEO-optimized static sites with Docusaurus v3.9.2 using Markdown/MDX, SEO metadata, and plugins. Helps with setup, docs, SEO optimization, plugin integration, and GitHub Pages deployment.

docusaurus-scaffold

Provides comprehensive guidelines for writing and formatting MDX content, frontmatter, and Docusaurus-specific components for the Physical AI & Humanoid Robotics textbook.

Docusaurus 3.x documentation framework - MDX authoring, theming, versioning, i18n. Use for documentation sites or spec-weave.com.

Advanced python-docx patterns for handling nested tables, complex cell structures, and content extraction beyond basic .text property. Complements the official docx skill with specialized techniques for forms, checklists, and complex layouts.

Create and manipulate Word DOCX files programmatically. Use when the user needs to generate documents, modify DOCX templates, extract document content, or automate Word document workflows. Supports both template-based generation (for branding compliance) and from-scratch creation. Keywords: Word, DOCX, document, report, template, contract, letter, corporate, branding.

Write JavaScript code in the style of Kent C. Dodds, testing advocate and React educator. Emphasizes testing best practices, React patterns, and developer productivity. Use when writing tests or building maintainable React applications.

Run an internal dogfooding program/sprint and produce a Dogfooding Pack (charter, scenario map, routines, dogfooding log + triage board spec, weekly report, ship/no-ship gate). Use for “dogfooding”, “eat our own dog food”, internal beta, and product teams using the product daily to find friction before shipping.