Skill UI

This skill provides a comprehensive, structured process for creating and documenting new AI agent skills. It guides the user through gathering requirements, drafting structured files (like SKILL.md, REFERENCE.md), and optimizing descriptions to ensure the agent can correctly identify and utilize the new capability. Use when you need to build, write, or refine a complex, functional skill module for an AI agent.

Captures complete, full-page screenshots of any modern web page using the Chrome DevTools Protocol (CDP). Unlike standard tools, this utility handles Single Page Applications (SPAs), scrolling content, lazy-loaded images, and complex scroll containers, ensuring the entire visible content is captured in a single, high-fidelity PNG file. Ideal for documenting complex web flows and testing.

This tool assists engineers in transforming vague work logs into structured, evidence-backed impact statements for professional documentation. It uniquely mines Copilot CLI session logs, git commits, and GitHub PRs to reconstruct forgotten work. It enforces a mandatory 'Action → Result → Evidence' impact contract, making it indispensable for preparing performance reviews, promotion packets, and self-assessments.

This skill creates a comprehensive, three-column documentation page in pure HTML. It is ideal when the brief requires a professional "guide," "tutorial," or "API reference." It includes structured elements like a sticky left navigation sidebar, a main article body, and a dynamic right Table of Contents, ensuring technical content is highly readable and navigable.

This skill generates comprehensive, single-page engineering runbooks. It structures critical operational information, including service overviews, alert response tables, common deployment procedures, on-call rotations, and incident response checklists. It is essential for DevOps, SRE, and engineering teams creating standardized operational documentation (Ops Docs).

Squirrel is an advanced, full-cycle AI coding skill designed to guide software development from concept to production. It automatically detects the current project state (greenfield, in-progress, or mature) and adapts an 8-phase engineering pipeline. This comprehensive workflow covers planning, building, rigorous testing, bug hunting, code polishing, documentation, and deployment readiness, ensuring high-quality, maintainable results.

This comprehensive tool provides annotations and tooling to automatically generate industry-standard OpenAPI/Swagger documentation for Go backend services. By treating documentation as a contract, developers can annotate handlers, define complex parameters, and specify security schemes (JWT, OAuth2). It integrates seamlessly with major Go frameworks like Gin, Echo, and Fiber, ensuring the Swagger UI is the accurate source of truth for API consumers and maintaining clean API contracts.

A powerful utility that converts Markdown (`.md`) files into richly formatted Word (`.docx`) documents. Built using pure JavaScript, it requires no external dependencies like Pandoc or LibreOffice. Features include automatic generation of title pages (from YAML front-matter), dynamic table of contents, and accurate embedding of PNG images, making it ideal for technical documentation and reports.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

A deep-dive session designed to stress-test a technical plan against an existing domain model. This process forces the user to resolve ambiguities, sharpen terminology, and validate decisions by cross-referencing code and existing documentation (CONTEXT.md, ADRs). It ensures architectural rigor and completeness before implementation.

A comprehensive playbook for API reconnaissance and documentation review. Use this skill early in the testing process to enumerate all reachable endpoints, extract schemas, identify hidden versions (e.g., v1, v2, mobile), and discover undocumented parameters or fields across REST, GraphQL, and mobile APIs. Essential for mapping the full attack surface before deeper exploitation.

A comprehensive playbook for advanced API security testing targeting GraphQL and REST APIs. It guides users through schema introspection, discovering hidden or undocumented fields, analyzing batching capabilities, and identifying authorization gaps (like IDORs). Essential for deep reconnaissance and identifying privilege escalation vectors.