Design, optimize, and evaluate LLM prompts for maximum accuracy and efficiency.
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 jeffallan/claude-skills --skill prompt-engineerCompatible with
Supported agents
Covers prompt patterns including zero-shot, few-shot, chain-of-thought, and ReAct, with before/after optimization examples
Provides structured workflow from requirements definition through testing, iteration, and production deployment with validation checkpoints
Includes evaluation frameworks, metrics, and test suite generation to measure and improve model performance
Supports structured output design
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionprompt-engineerExecute the skills CLI command in your project's root directory to begin installation:
epx add jeffallan/claude-skills --skill prompt-engineerFetches prompt-engineer from jeffallan/claude-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-engineer
Restart Cursor to activate prompt-engineer. Access via /prompt-engineerin 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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Useful defaults in prompt-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
prompt-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
prompt-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for prompt-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for prompt-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
We added prompt-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: prompt-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for prompt-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
prompt-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
prompt-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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