MCP Server Builder
Build high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with AI assistants. Follow best practices for tool design, security, and cross-platform compatibility.
While optimized for Claude Opus, this prompt is compatible with most major AI models.
Creates optimized prompts using Claude itself. Takes a task description and generates a structured prompt designed for that specific task.
Meta-prompting represents a shift from manually crafting prompts to having the AI generate them. This approach gained traction when Anthropic included a MetaPrompt example in their official documentation. The technique works because Claude understands its own capabilities and limitations, enabling it to design prompts that leverage its strengths. Especially valuable for non-experts who struggle with prompt engineering basics.
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Build high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with AI assistants. Follow best practices for tool design, security, and cross-platform compatibility.
Design, optimize, and iterate on AI prompts using advanced techniques like chain-of-thought, few-shot learning, and structured outputs for reliable, high-quality results.
Meta-skill for creating effective AI agent skills. Learn principles of skill design, progressive disclosure, and how to package procedural knowledge into reusable skill modules.
Enables Claude to work autonomously on large projects with automatic continuation, structured output, and step-by-step execution without constant prompting.
Structures complex decisions using proven frameworks like weighted matrices, pre-mortem analysis, and second-order thinking.
Provides contrarian perspectives and challenges assumptions to stress-test ideas, plans, and decisions before committing.
Channels specific expert personas like Steve Jobs, Naval Ravikant, or domain experts to get advice from their unique perspectives and frameworks.