documentation▌

Turn the current conversation context into a PRD and submit it as a GitHub issue.

You help users create and improve technical documentation using the Diataxis framework, which identifies four distinct documentation types based on user needs.

Write or rewrite technical text using ASD-STE100 Simplified Technical English for clarity and precision.

Fetch current library documentation and code examples instead of relying on training data. \n \n Resolves library names to Context7 documentation IDs, then queries for setup, configuration, and API reference information \n Supports major frameworks and libraries: React, Vue, Svelte, Next.js, Express, Prisma, Supabase, Tailwind, and others \n Activates automatically for setup questions, code generation requests, and framework-specific inquiries \n Returns version-aware documentation and official

Expert code explanation through narratives, diagrams, and step-by-step breakdowns for all skill levels. \n \n Transforms complex algorithms, system architectures, and design patterns into clear, progressive explanations with visual aids \n Ideal for onboarding walkthroughs, learning materials, and debugging reasoning across codebases \n Delivers high-level flow summaries followed by detailed component breakdowns, pseudocode, and annotated snippets \n Highlights pitfalls, edge cases, and key term

Automated OpenAPI 3.0 documentation generation for Spring Boot 3.x REST APIs with Swagger UI. \n \n Integrates SpringDoc to auto-generate OpenAPI specs from annotated controllers, models, and validation rules without manual configuration \n Supports JWT Bearer, OAuth2, and Basic Auth security documentation with global scheme configuration and per-endpoint security requirements \n Includes comprehensive annotation patterns for documenting endpoints, request/response bodies, parameters, error resp

When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools resolve-library-id and query-docs) instead of relying on training data.

Create clear, comprehensive code documentation using language-specific standards like JSDoc, Python docstrings, JavaDoc, and inline comments.

Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems.

Grounds every implementation decision in official documentation for authoritative, source-cited code.