Iteratively refine artifacts toward a measurable goal using a propose-measure-keep-or-revert loop.
npx skills add https://github.com/jiahknee5/rapid-workflow --skill refine-jiahknee5
Please help me install this Agent Skill. Skill: refine Source: https://github.com/jiahknee5/rapid-workflow/tree/main/skills/refine Command: npx skills add https://github.com/jiahknee5/rapid-workflow --skill refine-jiahknee5
This Skill provides a systematic approach to iteratively refine artifacts like code, design, copy, config, or prompts towards a defined, measurable goal.
Run the refine skill with the artifact, goal, and evaluation criteria to start the refinement loop.
High-intent search queries and answers about installing and using this skill.
To iteratively refine artifacts towards a measurable goal, use a propose-measure-keep-or-revert loop that suggests variations, evaluates them against your criteria, and keeps the improved versions while reverting regressions.
A keep-or-revert loop for artifact refinement proposes changes, measures them against a defined goal, and permanently keeps improvements while automatically reverting to the previous version if no measurable progress is found.
To evaluate and improve prompt performance through iteration, provide the prompt artifact, a desired task outcome goal, and evaluation criteria to trigger an automated refinement loop that converges on the target metric.
Yes, you can use automated iteration to refine configuration files by providing the config artifact, your target metric, and evaluation criteria to systematically propose variations and keep only the changes that improve the measurement.
Goal-directed refinement requires three inputs: the initial artifact you want to improve, the measurable goal you are targeting, and the evaluation criteria used to measure progress and determine whether to keep or revert changes.
Yes, iterative refinement works for both code optimization and copywriting by supporting various modes for different artifact types, allowing you to apply the same propose-measure-keep-or-revert evaluation loop across diverse formats.
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