Parse large documents into structured sections with abstracts and metadata

Multi-format document parsing tools for PDF, DOCX, HTML, and Markdown with support for LlamaParse, Unstructured.io, PyPDF2, PDFPlumber, and python-docx. Use when parsing documents, extracting text from PDFs, processing Word documents, converting HTML to text, extracting tables from documents, building RAG pipelines, chunking documents, or when user mentions document parsing, PDF extraction, DOCX processing, table extraction, OCR, LlamaParse, Unstructured.io, or document ingestion.

Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, handle forms and metadata. Supports pdf-lib/pdfkit (Node.js) and pypdf/pdfplumber/ReportLab (Python).

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

A robust skill that analyzes your app's actual codebase, tech stack, configuration, and architecture to ensure ALL documentation is current and accurate. It never assumes—always verifies and compares the live system with every documentation file to detect code-doc drift and generate actionable updates.

Create or update documentation for features, APIs, or components

Expert documentation analysis including quality assessment, gap detection, and improvement recommendations

Manages Tallyfy documentation assets on Cloudflare R2. Uploads images, generates AI captions using Claude Code native vision, maintains CSV inventory with build-time integration. Use when managing docs screenshots or media files.

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.

Efficient documentation discovery, interpretation, and explanation methodology for technical projects. Use when explaining system architecture, design rationale, implementation patterns, or integrating multiple documentation sources (text docs, code comments, diagrams, test descriptions). Provides strategies for navigating large documentation sets, extracting design intent, cross-referencing multiple sources, and synthesizing comprehensive explanations.

Automatically generate documentation for code, APIs, and projects.

Generate and maintain comprehensive documentation. Use when writing README, API docs, code comments, or technical documentation.

After implementing a new feature or fixing a bug, make sure to document the changes. Use after finishing the implementation phase for a feature or a bug-fix

slurp-ai scrapes documentation websites and compiles them into a single markdown file optimized for AI agent context. It is lightweight, fast, and deterministic - it does NOT use AI to scrape, it is F

Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.

Reusable logic for updating repository documentation (README, indices, tables) with new content while preserving formatting and structure

Automatically updates CLAUDE.md and related documentation when new features, configurations, or best practices are discovered during development sessions

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.

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

Hierarchical machine-readable documentation - root CLAUDE.md with module index, per-module CLAUDE.md for significant modules

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.

Use when migrating Docusaurus projects from v2 to v3

docusaurus-scaffold

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.

Programmatically edit Word documents (.docx) with live preview and track changes via SuperDoc VS Code extension. Use when editing DOCX files, making tracked changes, redlining, marking up contracts, or when the user wants to modify Word documents with insertions/deletions visible. Triggers on docx, Word, track changes, redline, markup.

Toolkit for comprehensive document reading and creation with visual quality control. Use to work with Word documents (.docx files) for: (1) Reading or extracting content from existing DOCX files, (2) Creating new Word documents with professional formatting, (3) Editing documents requiring precise typography and layout, or any other DOCX reading or generation tasks.

Template-based Word document generation using Jinja2 syntax. Create reports, contracts, and documents with loops, conditionals, tables, and mail merge capabilities.

Convert Microsoft Word (.docx) files to Markdown. Use when importing Word documents, extracting content from DOCX for version control, or converting documentation to Markdown format.

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.

Environment variable patterns for Dokploy templates including required vs optional syntax, secrets, connection strings, and configuration organization.

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

Security best practices for Dokploy templates: secrets management, network isolation, least privilege, image security, and hardening recommendations.

Generate template.toml configuration for Dokploy templates with variables, domains, environment mappings, and file mounts. Use when finalizing Dokploy templates.

Validate Dokploy templates against conventions: YAML syntax, network structure, health checks, environment variables, security patterns, and quality standards.

Configure Traefik labels for routing, SSL/TLS with LetsEncrypt, and advanced routing patterns including Cloudflare DNS challenge. Use when adding web access to Dokploy services.

Manage centralized domain constants and configuration in the project. Use when adding new status types, modifying UI labels, updating color schemes, or creating configuration objects for domain entities.

Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理

Generate creative domain names and check availability for branding, startups, and web projects

**Use this skill when you're about to:**

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

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

Creates production-ready .NET 10 Aspire projects with ASP.NET MVC + Razor + TypeScript frontend, REST API backend, Entity Framework, OpenTelemetry observability, and Polly resilience. Use when asked to create a new .NET web application, scaffold a .NET Aspire project, set up a full-stack .NET solution with frontend and API, configure OpenTelemetry for .NET, add Polly resilience patterns, or start a new C# project with modern best practices. Supports OIDC authentication preparation and Grafana-ready telemetry.

Build .NET 8+ applications with C#. Covers ASP.NET Core, Minimal APIs, Entity Framework Core, dependency injection, and testing. Use for .NET development, C# programming, and Azure backend services.

dotnet-development

Expert .NET Framework 4.8 specialist mastering legacy enterprise applications. Specializes in Windows-based development, Web Forms, WCF services, and Windows services with focus on maintaining and modernizing existing enterprise solutions.