Skill UI

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 adapts the Conventional Commits standard for Chinese development teams. It provides comprehensive rules for writing commit messages, including structured formats for subject, body, and footer. It also details the integration and configuration of automation tools like commitlint, conventional-changelog, and husky, ensuring a consistent, readable, and traceable version history.

This skill manages development isolation by creating and utilizing Git worktrees. It ensures that all development work occurs in a sandbox separate from the main branch, following a strict priority chain (Native Tools > Manual Git Worktree). The process includes detecting existing isolation status, running environment dependency installations, and executing baseline tests to guarantee a clean starting point for feature implementation.

AnnData supplies a Python-native container for annotated matrices, letting researchers store measurements alongside rich metadata, read/write h5ad/zarr/loom/10X files, and integrate with the scverse tools when building single-cell or related data workflows.

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.

Statsmodels is a comprehensive Python library dedicated to advanced statistical modeling and econometrics. It provides tools for rigorous statistical inference, including Ordinary Least Squares (OLS), Generalized Linear Models (GLM), mixed-effects models, and time series analysis (ARIMA). Use this skill for detailed diagnostics, coefficient estimation, hypothesis testing, and producing publication-ready statistical reports in fields like econometrics and biostatistics.

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.

This comprehensive skill guide focuses on Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It provides deep technical knowledge covering schema management, direct query execution via MCP tools, multi-tenant isolation, and full migration support (e.g., MySQL to DSQL). Users will learn advanced concepts like DDL operations, IAM authentication, and diagnosing slow queries using detailed plan explainability analysis, making it essential for building scalable, robust applications.

This skill provides comprehensive knowledge on setting up and handling real-time webhook events from Lucidchart. It details how to receive notifications—such as document creation, updates, sharing, and shape additions—via signed JSON payloads over HTTPS. Users can implement robust integrations for compliance auditing, triggering CI/CD pipelines, or notifying external collaboration tools like Slack.

A comprehensive mentor guiding users through the entire lifecycle of academic literature reviews. It teaches systematic search strategies (PICO/PCC), critical appraisal methods, and advanced synthesis techniques. The skill covers searching major English and Chinese databases (e.g., PubMed, Web of Science, CNKI), organizing findings, and effectively utilizing AI research tools like Elicit and Semantic Scholar to build robust, evidence-based research papers.

This tool provides comprehensive AI security scanning using the Tencent AI-Infra-Guard framework. It systematically audits AI infrastructure, scans tools and skills, checks agent security, and performs advanced LLM jailbreak evaluations to identify vulnerabilities and ensure the robustness and reliability of AI systems.