Skill UI

Intelligently executes git commit by adhering to the Conventional Commits specification. The tool analyzes the staged or working directory diff to automatically detect the change type (e.g., feat, fix, docs), the affected scope, and generates a standardized, semantic commit message. This ensures your project history remains clean, readable, and compliant with best development practices. Ideal for maintaining robust version control.

This tool searches the current repository and lists all pull requests assigned to the user. It provides comprehensive details for each PR, including its purpose and scope. The output is highly functional, highlighting pending review status, detailing any failed checks (with suggested fixes), and offering to automatically request a Copilot review to maintain continuous development flow. Ideal for daily workflow status checks.

This micro-prompt guides AI agents to adopt the mindset of an interactive programmer. It emphasizes using the REPL (Read-Eval-Print Loop) for systematic system exploration and modification, treating the system state as the ultimate source of truth. It also reminds the agent to utilize structural editing tools and maintain todo lists, significantly improving the accuracy and efficiency of the development workflow in live coding environments.

A comprehensive automation toolkit for managing Sentry error tracking and monitoring operations. Users can programmatically investigate issues, configure project-level alert rules, manage release versions, and monitor organizational structure. Essential for DevOps and development teams needing deep integration and programmatic control over error data.

A universal assistant for conducting deep code reviews across major SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). It rigorously analyzes SQL code for critical vulnerabilities (like SQL injection), performance bottlenecks, maintainability issues, and adherence to industry best practices. Features include security audits, index optimization recommendations, query structure analysis, and schema design validation, ensuring robust and secure database development.

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.

A comprehensive scaffold generator for building Model Context Protocol (MCP) servers using TypeScript and Node.js. This tool provides a complete, production-ready boilerplate, including proper project structure, dependency management (e.g., @modelcontextprotocol/sdk, zod), and implementation details for tools and resources. It supports both HTTP and stdio transport mechanisms, ensuring type safety, robust error handling, and best practices for modern backend development.

This guide provides a comprehensive framework for adopting Conventional Commits using Mandarin Chinese. It details rules for commit types (feat, fix, perf, etc.), structuring the subject, body, and footer messages. Furthermore, it covers integrating automated tools like husky, commitlint, and conventional-changelog to enforce standardized, professional, and traceable commit workflows for Chinese development teams.

A comprehensive guide and mechanism for ensuring development work occurs in an isolated environment using native worktree tools or falling back to manual git worktree creation. It guides users through mandatory steps like detecting existing isolation, prioritizing native tools, and verifying the clean state before development begins.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

Cirq is an open-source Python framework from Google Quantum AI for designing, simulating, and executing quantum circuits. It supports multiple hardware backends (IonQ, Pasqal, etc.) and includes comprehensive tools for noise modeling, circuit optimization, and parameterized experimentation, making it ideal for NISQ device development and advanced quantum computing research.

This skill enables the development of robust, production-ready Python protocols for Opentrons Flex and OT-2 robotic systems. It provides comprehensive tools for labware setup, precise liquid handling, module control, and advanced simulation, ensuring safe and highly reproducible automated biological and chemical workflows.