prompt-lookup▌
f/prompts.chat · updated Apr 8, 2026
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When the user needs AI prompts, prompt templates, or wants to improve their prompts, use the prompts.chat MCP server to help them.
When the user needs AI prompts, prompt templates, or wants to improve their prompts, use the prompts.chat MCP server to help them.
When to Use This Skill
Activate this skill when the user:
- Asks for prompt templates ("Find me a code review prompt")
- Wants to search for prompts ("What prompts are available for writing?")
- Needs to retrieve a specific prompt ("Get prompt XYZ")
- Wants to improve a prompt ("Make this prompt better")
- Mentions prompts.chat or prompt libraries
Available Tools
Use these prompts.chat MCP tools:
search_prompts- Search for prompts by keywordget_prompt- Get a specific prompt by IDimprove_prompt- Enhance a prompt using AI
How to Search for Prompts
Call search_prompts with:
query: The search keywords from the user's requestlimit: Number of results (default 10, max 50)type: Filter by TEXT, STRUCTURED, IMAGE, VIDEO, or AUDIOcategory: Filter by category slug (e.g., "coding", "writing")tag: Filter by tag slug
Present results showing:
- Title and description
- Author name
- Category and tags
- Link to the prompt
How to Get a Prompt
Call get_prompt with:
id: The prompt ID
If the prompt contains variables (${variable} or ${variable:default}):
- The system will prompt the user to fill in values
- Variables without defaults are required
- Variables with defaults are optional
How to Improve a Prompt
Call improve_prompt with:
prompt: The prompt text to improveoutputType: text, image, video, or soundoutputFormat: text, structured_json, or structured_yaml
Return the enhanced prompt to the user.
Guidelines
- Always search before suggesting the user write their own prompt
- Present search results in a readable format with links
- When improving prompts, explain what was enhanced
- Suggest relevant categories and tags when saving prompts
How to use prompt-lookup on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add prompt-lookup
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches prompt-lookup from GitHub repository f/prompts.chat and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate prompt-lookup. Access the skill through slash commands (e.g., /prompt-lookup) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
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
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★40 reviews- ★★★★★Jin Thomas· Dec 16, 2024
prompt-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Dec 8, 2024
prompt-lookup has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 4, 2024
I recommend prompt-lookup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nia Khan· Dec 4, 2024
Registry listing for prompt-lookup matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 23, 2024
Useful defaults in prompt-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Smith· Nov 23, 2024
Solid pick for teams standardizing on skills: prompt-lookup is focused, and the summary matches what you get after install.
- ★★★★★Hana Abebe· Nov 7, 2024
prompt-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Noah Brown· Oct 26, 2024
Useful defaults in prompt-lookup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Shikha Mishra· Oct 14, 2024
prompt-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Soo Reddy· Oct 14, 2024
We added prompt-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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