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This official Claude.com guide explains how Claude's agentic building blocks work together, comparing Skills, prompts, Projects, subagents, and the Model Context Protocol (MCP). Skills are specialized knowledge modules containing instructions and code that Claude discovers dynamically—ideal for organizational workflows, domain expertise, and personal preferences that need consistent execution across conversations.
The article helps product managers understand when to use each building block: prompts for one-off requests, Projects for persistent workspaces, subagents for independent AI assistants with specialized configurations, and MCP for external data connections. Key insights include progressive disclosure (Skills load metadata first, full instructions only when needed) and context optimization through strategic tool selection.
Building on foundational concepts, this resource explores technical skills at a deeper level. It's designed for PMs who have some AI experience and want to develop more sophisticated skills.
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Go to claude.comAleksander Dytko breaks down Claude Code into four foundational building blocks that together enable sophisticated AI automation workflows. The first...
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This free short course from DeepLearning.AI teaches how to use large language models through the OpenAI API. Taught by Isa Fulford (OpenAI) and Andrew...