Documentation

Provides tools for creating, editing, and analyzing .docx files via XML manipulation and JavaScript libraries. Supports tracked changes, comments, and integrates with scientific diagram generation. Includes workflows for redlining and document validation.

This skill reviews technical documentation for accessibility issues, jargon density, and gatekeeping language. It provides structured questions and principles to ensure content is understandable to learners at different proficiency levels, with specific guidelines for sentence length, term definitions, and visual accessibility.

This skill enforces strict separation of business requirements (PRD) from technical design. It provides a structured workflow for defining WHAT and WHY before HOW, with clear triggers, validation gates, and explicit rules for what belongs in a PRD versus technical documents. It includes security requirement discovery at the business level.

This skill converts structured data into properly formatted markdown tables with configurable column alignment. It handles edge cases like empty rows, mismatched columns, and invalid alignment options. The tool is useful for creating readable tables in reports, documentation, and data summaries.

Provides concrete voice and tone rules for technical documentation, including specific examples of good vs. bad writing. Covers mechanics like second-person usage, sentence case, and terminology. Includes a practical quality checklist for writers to verify compliance.

Provides specific patterns for documenting API field descriptions with clear templates for different data types. Includes table formats, required/optional indicators, and practical examples for UUIDs, strings, enums, booleans, and other common field types.

Generates TypeScript documentation for APIs, components, and architectural decisions using JSDoc and TypeDoc. Includes templates for frameworks like React, Angular, and NestJS, along with automation for CI/CD pipelines to keep docs in sync with code.

This skill teaches developers how to write documentation specifically for LLMs. It emphasizes assuming LLM competence, using progressive disclosure, prioritizing examples over explanations, and building validation into workflows. The guide provides concrete patterns like table of contents organization, conditional workflows, and verifiable outputs.

This skill provides a structured checklist for reviewing documentation across voice, structure, completeness, clarity, and technical accuracy. It offers specific criteria for each dimension, common issues to flag, and a clear output format with priority levels. The tool helps catch documentation problems before publication.

This skill provides a structured workflow for generating component documentation within the FlowGram framework. It guides users from source code analysis to creating Story components, writing MDX docs, and handling translations. It enforces naming conventions, code patterns, and quality checks specific to the project's architecture.

This skill provides Python code templates for generating PDF reports using the reportlab library. It includes examples for adding text, tables, and embedded images, with specific applications for single-cell RNA-seq analysis reports. The documentation shows complete working examples with error handling tips.

Automates changelog creation by analyzing git commit history and converting technical commits into user-friendly release notes. Groups changes into categories like features and bug fixes, saving manual documentation time for development teams.