Lists and filters documentation files by type, status, tags, and date range with frontmatter parsing

Locate and retrieve specific documentation sections from DiPeO's docs/ by heading anchors or keywords. Returns minimal, targeted excerpts instead of full files. Use when you need precise documentation context without loading entire guides.

Documentation lifecycle management skill. Activates when user mentions documentation, docs, sync, quality, validation, releases, or setup. Routes to appropriate agent (doc-expert for orchestration, doc-writer for content) and provides gentle reminders about documentation health.

Efficiently navigate codebase documentation during Research phase. Use instead of Grep/Glob for finding architectural decisions, feature specs, and technical docs. Maps topics to doc locations for fast context retrieval. If codebase lacks documentation structure, provides patterns to establish one.

Apply Progressive Disclosure principles to organize large documentation projects. Restructure docs into hierarchical structure, reduce token usage by 95%+, and create README files for navigation.

Create Atomic Requirements (REQ) - Layer 7 artifact using REQ v3.0 format with 12 sections, SPEC-readiness scoring, and IMPL-readiness scoring

Token-efficient documentation search using Serena Document Index. 90%+ token savings vs reading full files. Use BEFORE reading README.md or docs/ files. Triggers on architecture questions, pattern lookups, and project-specific documentation needs.

Create Technical Specifications (SPEC) - Layer 10 artifact using YAML format for implementation-ready specifications

Create Task Breakdown (TASKS) - Layer 11 artifact decomposing SPEC into AI-structured TODO tasks

Meta-skill for converting external documentation into Claude Agent Skills with proper YAML frontmatter and structured instructions following the official specification.

Updates documentation after code changes to keep docs in sync with code reality. Use AFTER implementation is complete. Covers feature docs, workflow docs, and index files.

Use when user asks about 'documentation workflow', 'how to document', 'doc system', 'what is llmdoc', 'how does llmdoc work', or needs guidance on the documentation system.

DocETL is a system for creating LLM-powered data processing pipelines. This skill helps you build end-to-end pipelines: from data preparation to execution and optimization.

SOTA Docker/Compose architecture, implementation, refactor, and security hardening. Use when working on containerization tasks such as creating or rewriting Dockerfiles, docker-compose files, buildx/bake configs, .dockerignore, and CI pipelines for build/test/scan/publish; auditing existing container setups for security, correctness, size/perf, and best practices (least privilege, non-root, minimal images, pinned base images, BuildKit secrets, healthchecks); debugging Docker build/run issues; or designing dev vs prod compose workflows across services (DB/cache/queues) with correct networking, volumes, secrets, and resource limits.

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

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.

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.