builder▌

Design LLM-facing tool schemas that prevent hallucination, silent failures, and token waste. \n \n Focuses on JSON Schema design, input examples, and error handling patterns that help LLMs use tools correctly \n Emphasizes explicit documentation and clear descriptions over implementation details, since LLMs only see the schema \n Identifies anti-patterns like vague descriptions, silent failures, and tool overload that cause agent failures \n Covers function-calling, MCP tools, and tool validatio

Build and deploy MCP servers in Python using FastMCP with tools, resources, and prompts. \n \n Scaffolds a working Python MCP server from a description; supports tools (callable functions), resources (readable data), and prompts (reusable templates) \n Includes local testing modes (direct run, dev mode with auto-reload, HTTP transport) and MCP Inspector integration \n Deploys to FastMCP Cloud, Docker, or Cloudflare Workers; pre-deploy checklist catches common issues like missing module-level ser

Full-stack application orchestrator that analyzes requests, selects tech stacks, and coordinates multi-agent development. \n \n Detects project type from natural language and recommends appropriate technology stack from 13 pre-built templates covering web apps, APIs, mobile, desktop, and CLI tools \n Coordinates execution across specialized agents: project planner, frontend specialist, backend specialist, database architect, and DevOps engineer \n Provides selective reading guidance through a co

To create high-quality MCP (Model Context Protocol) servers that enable LLMs to effectively interact with external services, use this skill. An MCP server provides tools that allow LLMs to access external services and APIs. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks using the tools provided.

Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.

Interactive menu for browsing and composing agent teams on demand. Works with flat or domain-subdirectory agent collections.

Design and build AI agents with tools, memory, and multi-step reasoning capabilities. Covers ChatGPT, Claude, Gemini integration patterns based on n8n's 5,000+ AI workflow templates.

Build browser extensions for Chrome, Firefox, and cross-browser platforms using Manifest V3 architecture. \n \n Covers extension structure, Manifest V3 configuration, content scripts, background service workers, popup UIs, and storage patterns \n Includes communication patterns between popup, background worker, and content scripts; DOM injection and event handling on web pages \n Provides Chrome Storage API usage with async/await patterns, storage limits, and data persistence across devices \n H

Comprehensive guide for building high-quality MCP servers that enable LLMs to interact with external services. \n \n Four-phase workflow covering research, implementation, review, and evaluation with detailed checklists and best practices for each stage \n Agent-centric design principles including workflow optimization, context efficiency, actionable error messages, and evaluation-driven development \n Language-specific implementation guides for Python (FastMCP) and Node/TypeScript with SDK docu

Tailwind v4 and shadcn/ui setup with CSS variables, dark mode, and semantic color theming. \n \n Automates dependency installation, Vite configuration with the Tailwind plugin, and shadcn/ui initialization \n Implements a mandatory four-step CSS architecture: root CSS variables, @theme inline mapping, base styles, and dark mode via class switching \n Includes pre-built theme provider component for dark mode toggling and persistent theme storage \n Provides troubleshooting guides for common v4 mi