The Gene Expression Omnibus (GEO) is NCBI's public repository for high-throughput gene expression and functional genomics data. GEO contains over 264,000 studies with more than 8 million samples from both array-based and sequence-based experiments.
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 davila7/claude-code-templates --skill geo-databaseCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongeo-databaseExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill geo-databaseFetches geo-database from davila7/claude-code-templates 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/geo-database
Restart Cursor to activate geo-database. Access via /geo-databasein 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.
wordpress-elementor
jezweb/claude-skills · Productivity · same category
nestjs-best-practices
kadajett/agent-nestjs-skills · Productivity · same category
find-skills
kimyx0207/findskill · Productivity · same category
flutter-performance
flutter/skills · Productivity · same category
vite
uni-helper/skills · Productivity · same category
cmux-browser
manaflow-ai/cmux · Productivity · same category
geo-database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
geo-database reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: geo-database is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for geo-database matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for geo-database matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend geo-database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
geo-database has been reliable in day-to-day use. Documentation quality is above average for community skills.
geo-database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in geo-database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added geo-database from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 74