prompt-optimizer

7.4

271

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

prompt-engineering

7.4

Rating

Installs

AI & LLM

Quick Review

Excellent skill with comprehensive methodology for transforming vague prompts into structured requirements using EARS syntax. The SKILL.md provides a complete six-step workflow with clear examples, quality criteria, and actionable guidelines. Structure is exemplary—concise main file with well-organized references for deep details. Task knowledge is outstanding with concrete transformation patterns, domain theory mapping, and specific output formats. The skill adds meaningful value by systematizing a complex requirement engineering process that would consume many tokens if done ad-hoc. Minor novelty limitation: while the EARS methodology and structured approach are valuable, prompt optimization itself is a reasonably common task; however, the systematic four-layer enhancement process and domain theory grounding elevate it significantly. Description is highly clear with specific triggers and use cases. Very high confidence as all referenced files are acknowledged to exist per instructions.