Search, retrieve, and install reusable Agent Skills from the prompts.chat registry.
Works with
Provides two core MCP tools: search_skills for keyword-based discovery with optional category and tag filtering, and get_skill to fetch complete skill packages including SKILL.md, documentation, and helper scripts
Handles the full installation workflow: search results presentation, skill retrieval, file organization into .claude/skills/{slug}/ , and verification of successful setup
Supports filtering
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionskill-lookupExecute the skills CLI command in your project's root directory to begin installation:
Fetches skill-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 skill-lookup. Access via /skill-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.
Submit your Claude Code skill and start earning
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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search_skillsget_skill to get all files.claude/skills/{slug}/ and verify the SKILL.md existssearch_skills({"query": "code review", "limit": 5, "category": "coding"})
get_skill({"id": "abc123"})
Use these prompts.chat MCP tools:
search_skills - Search for skills by keywordget_skill - Get a specific skill by ID with all its filesCall search_skills with:
query: The search keywords from the user's requestlimit: Number of results (default 10, max 50)category: Filter by category slug (e.g., "coding", "automation")tag: Filter by tag slugPresent results showing:
Call get_skill with:
id: The skill IDReturns the skill metadata and all file contents:
When the user asks to install a skill:
get_skill to retrieve all files.claude/skills/{slug}/SKILL.md → .claude/skills/{slug}/SKILL.md.claude/skills/{slug}/{filename}SKILL.md to verify the frontmatter is intactMake 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
Registry listing for skill-lookup matched our evaluation — installs cleanly and behaves as described in the markdown.
skill-lookup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
skill-lookup reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added skill-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
skill-lookup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: skill-lookup is the kind of skill you can hand to a new teammate without a long onboarding doc.
skill-lookup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: skill-lookup is focused, and the summary matches what you get after install.
Registry listing for skill-lookup matched our evaluation — installs cleanly and behaves as described in the markdown.
We added skill-lookup from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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