Transform vague prompts into precise, testable specifications using EARS methodology and domain theory grounding.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add daymade/claude-code-skills --skill prompt-optimizerCompatible with
Supported agents
Converts natural language requirements into five EARS patterns (ubiquitous, event-driven, state-driven, conditional, unwanted behavior) with explicit triggers, conditions, and measurable criteria
Applies relevant domain frameworks (GTD, BJ Fogg, Gestalt, Zero Trust, etc.) to enhance requirements with established best practices
Generates structured prompts using Role/Skill
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionprompt-optimizerExecute the skills CLI command in your project's root directory to begin installation:
epx add daymade/claude-code-skills --skill prompt-optimizerFetches prompt-optimizer from daymade/claude-code-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/prompt-optimizer
Restart Cursor to activate prompt-optimizer. Access via /prompt-optimizerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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I recommend prompt-optimizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: prompt-optimizer is focused, and the summary matches what you get after install.
Keeps context tight: prompt-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
prompt-optimizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added prompt-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: prompt-optimizer is focused, and the summary matches what you get after install.
We added prompt-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
prompt-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
prompt-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
prompt-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
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