7. Writing & Documentation

Expert guidance for writing clear, consistent rulebooks following Euro-style board game best practices, covering structure, terminology, and audience design.

AI-powered tool generating SEO-optimized content for blogs, articles, and marketing materials.

Fetches current API documentation, library references, and code examples for technologies in the Personal AI Employee project via Context7 MCP server.

Provides standardized templates and patterns for generating API documentation, README files, JSDoc comments, and user guides.

Automates creation of technical documentation, code comments, and API references directly from source code.

Guides users through a structured workflow for co-authoring technical documentation, proposals, and specifications.

Generates structured implementation plans from requirements, outlining multi-step workflows for software development prior to code execution.

Provides comprehensive knowledge of Zenn-specific Markdown syntax and best practices for writing technical articles on the Zenn platform.

Automates identification of documentation gaps after code changes and provides targeted update suggestions.

Generates bilingual documentation (English/Ukrainian) using MkDocs, including Ukrainian plural form handling for Pulse Radar project.

Converts Markdown documents to Jupyter Book/MyST format with support for directives, admonitions, hyperlinks, and LaTeX math conventions for consistent project documentation.

Generates tiered, concise reports (micro to comprehensive) by synthesizing multi-agent outputs, focusing on actionable insights without duplication.

AI-powered tool for paraphrasing and enhancing written content to improve clarity and engagement.

Automates creation of technical documentation including READMEs, API references, and user guides.

Applies TDD to documentation: tests with subagents first, writes iteratively, ensuring robustness against rationalization.

Generates a Product Requirements Document (PRD) for new features or projects, detailing requirements and specifications.

Offers a comprehensive guide for creating, updating, and designing high-quality skills with best practices and technical documentation standards.

Creates structured product requirements documents (PRDs), defines MVP scope, and plans features for product strategy and development.

Creates and fixes ASCII diagrams, tables, and wireframes for technical documentation using box-drawing characters.

Creates comprehensive Product Requirements Documents (PRDs) to define feature specifications, ensuring clarity and alignment before development begins.

A tool for authoring, modifying, and validating AI skill definitions to ensure correctness before deployment.

Drafts 100-word blog posts with 3-word titles, adhering to user-specified constraints and using <post> tags for structured content.

Creates and maintains Architectural Decision Records (ADRs) in MADR format using Markdown for technical decision documentation.

Creates a structured topical knowledge base for organizing technical documentation and reference materials.