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.
437 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.
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
Automated security validation, RLS enforcement, OWASP compliance, and vulnerability scanning for AI-assisted development workflows.
A comprehensive financial modeling suite for investment analysis, featuring DCF valuation, sensitivity testing, Monte Carlo simulations, and scenario planning.
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Shared memory and collaboration layer for AI coding agents to track actions, manage sessions, detect conflicts, and preserve project context across tools.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
Generate production-ready Kubernetes manifests including Deployments, Services, CRDs, and more with built-in validation.
A flexible template for developing and integrating custom AI agent skills within the Mini-Agent framework.
Automates the creation of Betty Framework skills by scaffolding directory structures, generating YAML manifests, and handling registry registration.
A pre-flight release checklist system to verify build paths, tests, and CI status before tagging, preventing failed deployments and repetitive retagging cycles.