Skill UI

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 skill integrates BuyWhere's product catalog surface, allowing AI agents to perform structured product searches, compare prices across various merchants, and discover deals. It is designed for developers building advanced e-commerce shopping agents, guiding them through the necessary API key setup and MCP configuration.

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).

This skill pulls the latest GEO-SEO components, including skills, agents, scripts, and schema templates, from the official upstream repository. It performs a detailed comparison (diff) to show all changes—new, modified, or removed—before applying the update. It ensures local customizations are preserved while keeping the toolkit current. Use this whenever you suspect your local setup might be outdated.

Automates the end-to-end software release workflow for a GitHub repository. This skill handles Semantic Versioning (SemVer) version bumping, analyzes code changes by generating sophisticated diffs, and automatically creates a formatted changelog and release pull request. It relies exclusively on the GitHub CLI (gh) and Git for robust version control and deployment.

This utility provides comprehensive capabilities for viewing, creating, uploading, editing, and comparing Markdown files stored in the cloud drive. It is designed for scenarios requiring local content manipulation, such as creating new files, fetching existing content, performing localized text patching (regex replacement), comparing version differences, or overwriting content. Note that it specifically handles structured Markdown files, not docx conversions, and defers cloud space management operations (like searching, moving, or permissions) to other dedicated skills.

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.

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.

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 implements dependency injection for Go applications using the google/wire library. It resolves the entire dependency graph at compile time, generating plain Go constructor calls without requiring a runtime container or reflection. This approach enhances performance and enables early detection of dependency errors during the build phase, making it ideal for building robust, scalable Go services and microservices.