When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.
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 mims-harvard/tooluniverse --skill tooluniverse-pharmacovigilanceCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontooluniverse-pharmacovigilanceExecute the skills CLI command in your project's root directory to begin installation:
epx add mims-harvard/tooluniverse --skill tooluniverse-pharmacovigilanceFetches tooluniverse-pharmacovigilance from mims-harvard/tooluniverse 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/tooluniverse-pharmacovigilance
Restart Cursor to activate tooluniverse-pharmacovigilance. Access via /tooluniverse-pharmacovigilancein 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.
nutritional-specialist
ailabs-393/ai-labs-claude-skills · Productivity · same category
yt-dlp
lwmxiaobei/yt-dlp-skill · Productivity · same category
framer-motion
pproenca/dot-skills · Productivity · same category
brand-name-generator
shipshitdev/library · Productivity · same category
sports-betting-analyzer
onewave-ai/claude-skills · Productivity · same category
vite
uni-helper/skills · Productivity · same category
tooluniverse-pharmacovigilance has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend tooluniverse-pharmacovigilance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
tooluniverse-pharmacovigilance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: tooluniverse-pharmacovigilance is focused, and the summary matches what you get after install.
I recommend tooluniverse-pharmacovigilance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
tooluniverse-pharmacovigilance has been reliable in day-to-day use. Documentation quality is above average for community skills.
tooluniverse-pharmacovigilance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tooluniverse-pharmacovigilance reduced setup friction for our internal harness; good balance of opinion and flexibility.
tooluniverse-pharmacovigilance has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in tooluniverse-pharmacovigilance — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 31