Evaluate AI agent instruction clarity through iterative execution rounds.
npx skills add https://github.com/himadajin/skills --skill prompt-clarifying
Please help me install this Agent Skill. Skill: prompt-clarifying Source: https://github.com/himadajin/skills/tree/main/skills/prompt-clarifying Command: npx skills add https://github.com/himadajin/skills --skill prompt-clarifying
This Skill aids in iteratively refining and enhancing instructions given to AI agents, ensuring clarity and effectiveness without introducing bias.
Run the prompt-clarifying skill on your new skill definition to ensure its clarity and effectiveness before deploying it.
High-intent search queries and answers about installing and using this skill.
AI agent instructions are refined through iterative execution and evaluation cycles that test instructions against explicit and implicit task requirements, ensuring clarity and effectiveness before deployment.
Bias-free evaluation is an assessment method that uses independent executor agents to objectively measure instruction effectiveness, preventing subjective bias from skewing the refinement of agent-facing skills.
Implicit requirements are evaluated by combining executor self-assessment with observable agent behavior, providing comprehensive insights into how well the instructions handle unstated task expectations.
Iterative instruction clarification should be used when developing or modifying critical skills, ensuring they perform as expected across a wide range of scenarios before deployment.
AI agent skills behave inconsistently when instructions lack clarity or fail to address implicit requirements, a problem solved by running iterative, bias-free evaluations with independent executors.
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