mcp-builder
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
482 skills found
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Automates the creation of Betty Framework skills by scaffolding directory structures, generating YAML manifests, and handling registry registration.
Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.
Automatically detect code changes and suggest documentation updates. Keeps READMEs, API specs, and configuration guides in sync with your implementation.
MPC-based multi-chain wallet SDK and CLI for AI agents and developers. Perform secure, threshold-signed crypto operations (send, swap, sign) across 40+ blockchains without seed phrases.
Specialized IDF (Information Display Frame) sub-agent for generating and reviewing CQRS Query Side implementations across Java, TypeScript, and Go.
Search codebases efficiently using ripgrep for lightning-fast text patterns and ast-grep for precise, syntax-aware structural code analysis.
Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.
Dedicated E2E testing agent for Playwright and Docker-based web applications, supporting automated test execution, report generation, and test creation.
Interactive CLI-based issue management system for tracking, planning, and executing development tasks with full CRUD capabilities.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.