Design and refine AI agent system prompts with guardrails and testing.
npx skills add https://github.com/oakoss/agent-skills --skill expert-instruction
Please help me install this Agent Skill. Skill: expert-instruction Source: https://github.com/oakoss/agent-skills/tree/main/skills/expert-instruction Command: npx skills add https://github.com/oakoss/agent-skills --skill expert-instruction
This Skill helps you design and refine the core instructions that govern AI agent behavior, ensuring they are safe, effective, and aligned with your goals.
Use the expert-instruction skill to design a system prompt for a code review agent.
High-intent search queries and answers about installing and using this skill.
To design a system prompt for an AI agent, define its persona, declare capabilities, specify constraints, and outline multi-turn behavior to ensure safe and effective alignment with your goals.
Guardrails in prompt engineering are explicit rules established within system prompts to prevent AI agents from generating harmful or out-of-scope responses during production interactions.
Setting up constraints for a customer support chatbot involves specifying persona rules, prohibiting the sharing of user PII, and outlining instructions to escalate complex issues to human agents.
The best way to format AI agent outputs and tool use instructions is by explicitly declaring capabilities and specifying output formatting rules directly within the system prompt design.
Unexpected multi-turn behavior in AI agents often stems from inadequate instruction tuning or failing to address common anti-patterns during system prompt design and testing methodologies.
You need instruction tuning for production readiness when deploying AI agents that require robust persona design, strict constraint specification, and validated guardrails to ensure safe operation.
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