Skill UI

Run a read-only audit to detect documentation drift against code, APIs, and configurations. Identifies stale, missing, or inconsistent docs across READMEs, API docs, and user guides. Compares documentation claims with actual implementation to ensure accuracy without modifying files.

This skill verifies an MCP server before release by exercising a real protocol session. It compares runtime capabilities with source code and documentation, tests failure paths, and records reproducible evidence. Use this when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path to ensure protocol behavior and transport correctness.

Generate tailored AGENTS.md and companion rules by analyzing codebases. Supports full, minimal, update, and dry-run modes with automatic package manager detection, monorepo support, and command validation. Creates living documentation matching your project's actual toolchain including setup commands, verification cycles, conventions, and architecture rules.

A comprehensive workflow designed for creating, maintaining, and deploying high-quality API documentation. This process guides users through several phases, including API discovery, generating OpenAPI specifications (Swagger), writing detailed developer guides, adding functional code examples, setting up interactive testing interfaces, and structuring the final documentation site.

Automatically generate comprehensive API documentation from code, covering endpoints, parameters, examples, and authentication. Supports REST, GraphQL, and WebSocket APIs to streamline developer onboarding and maintain professional technical standards.

This skill generates comprehensive C4 architecture documentation for existing repositories using a bottom-up analysis approach. It follows the C4 model (Context, Container, Component, Code) to create technical documentation suitable for both technical and non-technical stakeholders. The workflow analyzes code directories, synthesizes components, and maps containers to provide a complete architectural view.

This skill specializes in creating comprehensive C4 code-level documentation for software projects. It analyzes code directories to extract function signatures, arguments, dependencies, and structural information. The output includes detailed documentation and Mermaid diagrams to visualize code relationships, dependencies, and data flows. Use this for documenting complex code components, understanding system architecture at the code level, and generating best practice checklists for code structure.

This skill specializes in creating C4 Component-level architecture documentation. It synthesizes code-level details into logical components, defining boundaries, interfaces, and relationships within containers. It generates Mermaid diagrams and best practices for software architecture documentation.

This skill acts as a code education expert, specializing in breaking down complex code, algorithms, or system architecture. It transforms difficult technical concepts into understandable explanations using clear narratives, visual diagrams, and step-by-step breakdowns. Ideal for creating learning materials, onboarding guides, or detailed technical reviews for developers of all levels.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI analysis. Ideal for building documentation pipelines, standardizing docs across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

A constraint-based protocol designed to professionalize existing code by normalizing comments and performing safe, non-semantic cleanup. This skill converts informal, outdated, or missing documentation into clear, concise, and professional standards without altering the core logic or behavior. Ideal for preparing code for code review, open-sourcing, or formal documentation.

This skill generates structured pull request descriptions from git diffs, including change categories, risk assessments, and test coverage summaries. It helps developers create reviewer-friendly documentation by categorizing changes like source, test, and config files. It also adds review checklists based on file types and flags breaking changes or security risks to ensure code quality.