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87 agent skills for AI coding assistants — marketing, growth, web3, dev, design & operations. Built for OpenClaw, Claude Code, Cursor, and Codex.

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## Agent Architecture Fundamentals An AI agent is an LLM that can take actions. That's it. Everything else is engineering around that core loop: ``` Observe → Think → Act → Observe → Think → Act → ... ``` The complexity comes from: which actions? how to recover from failures? how to know when to stop? how to not bankrupt you on API calls? ---