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agents-pro

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AI agent guidance — agent architecture, tool design, planning loops, guardrails, evaluation, and production agents.

skills/agents-pro/SKILL.md

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## Overview

AI agents are LLMs that act: perceiving (tools, context), reasoning (planning, reflection), and acting (tool calls) in loops until a goal is reached. The spectrum runs from fixed pipelines (predictable) through ReAct loops (flexible) to fully autonomous agents (powerful, risky). Most production value lives in the middle: structured agentic workflows with explicit control flow.

This skill covers agent architecture done responsibly: the loop, tool design, planning strategies, guardrails, evaluation, and the production hardening that keeps agents useful instead of dangerous.

## When to use

- Designing AI agents (support, coding, research, ops).
- Choosing agent frameworks (LangGraph, CrewAI, raw loops).
- Designing tools for agents.
- Adding guardrails and human-in-the-loop.
- Evaluating agent performance.
- Debugging agent failures (loops, tool misuse).
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