AI Agents
Build autonomous AI agents with tool use, memory, and multi-step reasoning.
How it works
Generates autonomous AI agent architectures: tool-calling patterns, chain-of-thought reasoning, memory systems (short-term and long-term), and multi-agent orchestration. Handles ReAct loops, function calling with proper error recovery, and agent supervision patterns.
Example prompts
“Build an AI agent that can browse the web and extract data”
“Create a multi-agent system for code review and testing”
“Implement a ReAct agent with tool calling and memory”
Real-world example
A research team built a multi-agent system: one agent gathers requirements, another generates code, a third writes tests, and a supervisor coordinates — automating their entire feature development workflow for routine tasks.
Try the AI Agents skill
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