Agent prompts

Agent prompts are structured, multi-layered system instructions that orchestrate an AI's planning, tool usage, and execution loop rather than just generating a static text response.

Unlike basic, single-turn prompts, agent prompts serve as the operational control plane for autonomous AI systems. They define the agent's identity, inject tool schemas (like API specifications), enforce strict guardrails, and dictate reasoning frameworks such as Chain of Thought. In production, engineering teams are moving away from monolithic system files to modular, version-controlled prompt architectures. This approach ensures that complex agents (such as Claude Code or Cursor) can dynamically call tools, handle edge cases, and run self-correction loops without drifting from their core business logic.

https://github.com/dontriskit/awesome-ai-system-prompts