prompt-optimizer
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.
88
83%
Does it follow best practices?
Impact
96%
1.62xAverage score across 3 eval scenarios
Passed
No known issues
Evaluation results
98%
11%Notification Center Requirements
EARS syntax transformation
Issues identified
100%
100%
Event-driven pattern used
70%
100%
State-driven pattern used
62%
100%
Conditional pattern used
62%
100%
Unwanted behavior pattern used
62%
100%
Measurable criteria present
100%
100%
Vague language removed
100%
100%
Atomic statements
87%
75%
Implicit conditions made explicit
100%
100%
Domain theories cited
100%
100%
EARS verbs used
100%
100%
How-to-use guidance
100%
100%
97%
50%Loyalty Program App Requirements Enhancement
Enhanced prompt structure and domain grounding
Role section present
0%
100%
Role specificity
80%
100%
Skills section present
0%
100%
Skills count
66%
100%
Workflows section present
0%
100%
Workflows completeness
50%
100%
Examples section present
0%
100%
Examples use real data
0%
100%
Formats section present
0%
100%
Formats specificity
30%
100%
Domain theories cited
80%
70%
Theories applied to features
100%
100%
How-to-use guidance
100%
100%
94%
51%Improving a Vague SaaS Onboarding Requirement
Six-step workflow and structured output format
Original requirement included
100%
100%
Issues section present
88%
100%
Issues are specific
100%
100%
EARS transformation section
0%
100%
Trigger-based requirement
0%
100%
State-based requirement
0%
100%
Prevention requirement
0%
100%
Domain section present
0%
100%
Named theories with relevance
0%
100%
Enhanced prompt section present
62%
100%
Concrete examples in prompt
87%
100%
Measurable formats in prompt
75%
100%
How-to-use guidance
33%
33%
- Repository
- daymade/claude-code-skills
- Commit
392d34c
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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