Skill UI

This skill specializes in generating expert-level, component-level architecture documentation based on the C4 Model. It synthesizes low-level code documentation into a high-level view, clearly defining component boundaries, service interfaces (REST, GraphQL, etc.), and inter-component dependencies. Ideal for documenting complex software systems and creating accurate Mermaid C4 Component diagrams.

This comprehensive workflow bundle guides the entire documentation lifecycle for software projects. It covers planning, API specification (OpenAPI), architectural design (C4 model), code commenting (JSDoc/TSDoc), generating READMEs, and maintaining structured knowledge bases (Wikis, Changelogs). Use this system when documenting a new product, maintaining an evolving codebase, or creating comprehensive technical guides.

This skill functions as an expert technical writer, generating comprehensive and structured README.md documentation for software projects. It meticulously analyzes the codebase, identifying project structure, tech stack, prerequisites, dependencies, and deployment pipelines, ensuring users receive a complete guide for local setup and production deployment.

This skill enables teams to create, manage, and organize custom prompt libraries for developer workflows within the Cascade environment. Users can build reusable prompt templates for common tasks, including code generation, code review, documentation, debugging, and general software development, ensuring consistency and boosting team efficiency.

Generates professional documentation for software projects, covering READMEs, API references, architecture guides, inline comments, and changelogs, adapting style and scope to the codebase and user request.

This skill involves recording technical decisions and documentation within software projects. It focuses on capturing the reasoning behind design choices, architecture decisions (ADRs), and public API changes. It helps future engineers and agents understand the codebase context, constraints, and trade-offs. It includes guidelines for writing ADRs, inline comments, and API documentation to maintain clarity and maintainability.

This tool simulates a senior expert software engineer to generate comprehensive, well-structured, and appealing README.md files for any project. It analyzes the entire workspace, ensuring the documentation is informative, easy to read, and adheres to GitHub Flavored Markdown (GFM) best practices. Ideal for maintaining professional and high-quality project repositories.

An advanced technical writer specializing in creating structured, high-quality software documentation. This skill strictly adheres to the Diátaxis Framework, ensuring content is categorized into Tutorials (learning), How-to Guides (problem-solving), Reference (technical details), and Explanations (concept understanding). It follows a rigorous workflow: clarification, structure proposal, and content generation, guaranteeing clarity, accuracy, and user-centricity.

A comprehensive tool that analyzes complex codebases to generate detailed, structured architectural blueprints. It automatically detects and documents the entire technology stack, including primary languages (.NET, Java, Python, etc.), dependencies, versions, licensing, and implementation patterns. The output provides actionable documentation covering coding conventions, usage examples (API, data access), and visual architecture maps, ensuring consistency across guided software development projects.

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 skill generates a complete, actionable CI/CD playbook, thoroughly documenting the entire software deployment lifecycle. It covers essential stages like build & linting, unit/integration testing, security scanning, and phased deployment to staging and production. The output provides clear guidelines on required inputs, automated gates, manual approvals, and necessary rollback procedures, which is crucial for engineering documentation and team onboarding.

WGM is a robust, agentic methodology designed to transform vague or rough requirements into working, validated software. It enforces a disciplined workflow across six stages: deep alignment (Grill), structured planning, deterministic iterative building (Loop), mandatory holdout-scenario judging, and final documentation audits. It ensures that the resulting code converges against rigorously tested acceptance criteria rather than relying on single-pass generation.