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.

dokploy-management

Multi-tenancy patterns for Dokploy templates with network isolation: separate docker networks per tenant, shared infrastructure, and tenant-specific configuration.

Skill especializada en análisis de lenguaje pictográfico para identificar actores (personas/sistemas activos), objetos de trabajo (documentos/información/cosas físicas), actividades (verbos) y estructurar información usando el formato Sujeto -> Predicado -> Objeto. Útil para análisis de procesos empresariales, documentación de workflows, extracción de conocimiento estructurado de textos y modelado de procesos de negocio.

NeRDS software development guidelines for Dutch government projects. Use when making architectural decisions, setting up CI/CD, implementing security practices, handling privacy requirements, or ensuring accessibility compliance in government software.

Finalize a completed task: verify tests pass, commit changes, update MASTER_PLAN.md, and optionally create an SOP.

Create and manage experimental features in the Doodle project. Use this skill when user requests creating a new doodle, adding features to the features folder, or mentions working on a specific language-based experimental project. Handles both new feature creation and continuation of existing features.

Validate and test Doppler secrets. TRIGGERS - add to Doppler, store secret, validate token, test credentials.

Environment file (.env) patterns, test data, and credential loading

Adds OpenAPI standards (Swagger) documentation to .NET ASP.NET Core APIs with Scalar UI or Swagger UI. Configures Swashbuckle, generates OpenAPI specs, and sets up interactive API documentation endpoints.

Patterns and best practices for building .NET Web APIs with ASP.NET Core

Expert .NET backend architect specializing in C#, ASP.NET Core,

Implement CI/CD for .NET applications with GitHub Actions, Azure DevOps, Docker, Kubernetes deployments, automated testing, and release pipelines. Use when setting up continuous integration and deployment for .NET projects.

Guide for building .NET APIs using CQRS pattern with MediatR, FluentValidation, and Carter modules

Entity Framework Core best practices for Clean Architecture projects. Covers DbContext, entity configurations, repository pattern, migrations, and PostgreSQL-specific features.