Skill UI

A robust application framework for Go, built on the uber-go/dig container. It provides advanced features essential for long-running services, including structured dependency injection, explicit lifecycle hooks (OnStart/OnStop), modular composition, and signal-aware graceful shutdown handling. Ideal for building robust daemons, HTTP servers, and background workers.

This skill guides the end-to-end development, implementation, and validation of production-ready Python modules for Azure IoT Edge. It covers critical aspects including telemetry processing, protocol adaptation (Modbus, OPC-UA), local inference, and ensuring robust, secure edge-to-cloud messaging under variable network conditions.

This skill analyzes your entire codebase to ensure it is optimized for AI contributions and developer tooling. It automatically generates essential configuration files such as `AGENTS.md`, Copilot instructions, CI workflows, and customizable issue templates. It learns from your existing PR review patterns to tailor the setup precisely to your project's stack. Use it when you need to prepare a repository for advanced AI-assisted development.

This advanced code reviewer analyzes your codebase through the principles of 12 classic software engineering books (e.g., Clean Code, DDIA, Mythical Man-Month). It detects conceptual flaws, design smells, tight coupling, missing abstractions, and architectural risks—issues that standard linters and basic AI tools often miss. Essential for major refactoring and pre-design validation.

Logic Lens is an advanced AI skill that performs deep, formal logic-driven code review. Unlike standard linters, it analyzes code for complex issues like race conditions, security vulnerabilities (SQL injection, XSS), type safety flaws, and algorithmic errors across 9 critical risk categories. It is ideal for pre-merge PR reviews, auditing sensitive code paths, and refactoring complex business logic.

A tool that generates and opens a GitHub Pull Request (PR) dashboard in the browser. Users can specify precise criteria, including date ranges (e.g., 'last 7 days', 'this month') and specific roles (e.g., 'Authored by me', 'Requested reviews'), to view detailed PR activity. Requires GitHub CLI authentication for full functionality.

This skill generates a complete, standalone, and highly structured pricing page in standalone HTML. It automatically respects the active design system (colors, typography, components) and supports defining 2-4 plan tiers, including feature cards, comprehensive comparison tables, and an FAQ section. Ideal for product marketing and sales-focused websites.

Generates a complete, single-page SaaS landing page structure. This tool produces a fully contained HTML file, integrating required sections such as Hero, Features, Social Proof, Pricing, and Call-to-Action (CTA). It strictly adheres to an existing design system for colors, typography, and layout, making it ideal for product launches and marketing campaigns.

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.

Cavecrew provides a set of specialized subagents (investigator, builder, reviewer) designed for efficient code development delegation. Unlike vanilla agents, Cavecrew compresses output results, drastically reducing the token usage injected back into the main context. This allows users to maintain context over much longer, complex coding sessions, effectively preventing context exhaustion during large-scale refactoring, debugging, or multi-step feature development.

A code-generation toolkit used for dependency injection in Go. Wire resolves the dependency graph entirely at compile time, emitting plain Go constructor calls without relying on runtime containers or reflection. This approach significantly improves type safety, performance, and error detection by shifting dependency resolution failures to the build phase. Ideal for building robust, scalable backend services in Go.

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.