domains / families / agent-tooling / prompt-optimizer
Transforms vague prompts or feature requests into precise, testable specifications using EARS (Easy Approach to Requirements Syntax) grounded in relevant domain theories (GTD, BJ Fogg, Gestalt). Use when requirements lack triggers or measurable outcomes, or the user asks to "optimize my prompt" / "improve this requirement" / "make this more specific". Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.
The two skills share the name and the high-level goal of improving prompts, but they define different procedures. The daymade skill is a requirements-refinement workflow that converts vague feature requests into EARS specifications and then wraps them in a Role/Skills/Workflows/Examples/Formats prompt. The getsentry skill is an engineering workflow for agent/system prompts that emphasizes eval sets, model-family porting, external context inventory, and a candidate-generation optimization loop. Neither copy is a shortened or wrapped version of the other; each contains material steps and constraints the other lacks, so crowning one would hide a real alternative.