AI agents are only as good as their tools and instructions. This guide helps you design clear action spaces, tool definitions, and observation formats. The goal is to get more tasks completed successfully.
You will learn how to name tools, structure their inputs, and write helpful output messages. The guide also covers error recovery with simple steps and hints. A steady system prompt and compact observations keep the agent focused.
Different tasks need different approaches. Exploratory jobs benefit from ReAct planning. Structured flows work best with function calling. A hybrid pattern combines both for reliable results.
Global
mkdir -p ~/.claude/skills/agent-harness-constructionProject
mkdir -p .claude/skills/agent-harness-constructionSource Repository
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