Manage Kurt documents - list, query, retrieve content, delete, find duplicates. Use CLI commands, Python API, or direct SQL queries.

Generate comprehensive {node_name}.example.json files that showcase real-world usage of Workscript workflow nodes. Use when asked to document a node, create node documentation, generate node examples, or produce usage examples for workflow nodes. Also use when a subagent needs to create node documentation as part of node development or review.

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.

Document and PDF patterns for Ballee using @kit/documents for document management and @kit/pdf-core for PDF generation. Use when working with file uploads, document viewers, or generating PDFs.

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).

Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns.

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.

Create comprehensive technical documentation including API docs, component libraries, README files, architecture diagrams, and developer guides using tools like JSDoc, Storybook, or Docusaurus. Use when documenting APIs, creating component documentation, writing README files, generating API references, documenting architecture decisions, creating onboarding guides, maintaining changelogs, documenting configuration options, or building developer documentation sites.

Automatically generate documentation for code, APIs, and projects.

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

Use when creating bidirectional links between code and documentation. Covers link patterns, documentation references, context preservation across artifacts, and maintaining synchronization between code and docs.

Apply when writing code documentation: JSDoc comments, README files, API documentation, and inline comments.

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

Workflow for capturing browser screenshots and embedding them in documentation.

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

Update all project documentation including implementation docs, user

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.

Documentation writing, API docs, and technical writing. USE WHEN user mentions document, docs, README, comments, docstrings, API documentation, JSDoc, explain code, write documentation, ADR, architecture decision, or asks to explain or document something.

Create consistent session summary documents with automatic linking and style checking

Use when documenting stacks, databases, or ORMs in create-faster MDX docs - focuses on technical changes and what we add beyond official setup

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

Docusaurus file naming, syntax, and structure conventions for RoboLearn platform

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 working with docusaurus-plugin-glossary to configure, manage glossary terms, troubleshoot issues, and explain features

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.

dogfood-skills

Help users implement effective dogfooding practices. Use when someone is trying to get their team to use their own product, designing internal usage programs, or building user empathy through personal product use.

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.

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dojo-events

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

AI-driven deployment management using Dokploy MCP server for projects, applications, and databases