Discover, retrieve, and improve AI prompts from the prompts.chat library.
Works with
Search prompts by keyword, category, or tag with filtering options for output type (text, image, video, audio)
Retrieve specific prompts by ID and automatically handle variable substitution with user-provided values
Enhance existing prompts using AI, specifying desired output type and format (text, JSON, or YAML)
Activate when users ask for prompt templates, want to search prompt libraries, or need prompt re
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionprompt-lookupExecute the skills CLI command in your project's root directory to begin installation:
Fetches prompt-lookup from f/awesome-chatgpt-prompts 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:
Restart Cursor to activate prompt-lookup. Access via /prompt-lookup in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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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.
Activate this skill when the user:
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 AICall 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 slugPresent results showing:
Call get_prompt with:
id: The prompt IDIf the prompt contains variables (${variable} or ${variable:default}):
Call improve_prompt with:
prompt: The prompt text to improveoutputType: text, image, video, or soundoutputFormat: text, structured_json, or structured_yamlReturn the enhanced prompt to the user.
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
I recommend prompt-lookup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
prompt-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: prompt-lookup is focused, and the summary matches what you get after install.
Keeps context tight: prompt-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: prompt-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
prompt-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added prompt-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
prompt-lookup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
prompt-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for prompt-lookup matched our evaluation — installs cleanly and behaves as described in the markdown.
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