Skill UI

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.

This skill enables advanced interaction with browser automation using the Chrome DevTools Protocol (CDP). Use it when the user needs to explicitly connect to a running browser instance, scan for available CDP ports, specify a fixed debug port, or share a single browser session across multiple tools. It is designed for advanced automation scenarios, distinct from simple browser launching.

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.

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.

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.

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.

pydicom is a comprehensive Python library designed for reading, inspecting, writing, and transforming local DICOM datasets and associated pixel data. It supports complex metadata handling, various transfer syntaxes, and provides tools for bounded de-identification and preflight checks. It is essential for medical image processing pipelines that require robust handling of Protected Health Information (PHI).

scVelo is a leading Python package for analyzing RNA velocity in single-cell RNA-seq data. It infers cell state transitions and developmental trajectories by modeling the kinetics of mRNA splicing (unspliced/spliced ratios). This allows researchers to determine cell fate decisions, predict differentiation paths, and identify driver genes without requiring time-course experiments. It complements tools like Scanpy for comprehensive analysis.

This comprehensive guide details the full plugin architecture for extending Claude Code. Learn how to build various extension points, including auto-activating skills, slash commands, specialized agents, and Model Context Protocol (MCP) servers. It serves as the definitive reference for integrating custom tools and workflows into the Claude ecosystem.

A comprehensive guide and set of tools for establishing a local development workflow tailored for CoreWeave GPU deployments. This includes steps for building Docker containers, validating Kubernetes YAML manifests using dry-run, and managing the full deployment lifecycle for AI inference services before pushing to the cloud.