Reactome is a free, open-source, curated pathway database with 2,825+ human pathways. Query biological pathways, perform overrepresentation and expression analysis, map genes to pathways, explore molecular interactions via REST API and Python client for systems biology research.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add davila7/claude-code-templates --skill reactome-databaseCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreactome-databaseExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill reactome-databaseFetches reactome-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/reactome-database
Restart Cursor to activate reactome-database. Access via /reactome-databasein your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
telegram-mini-app
davila7/claude-code-templates · Productivity · same repo
docker-expert
davila7/claude-code-templates · Cloud · same repo
premium-frontend-ui
github/awesome-copilot · Frontend · same category
bencium-controlled-ux-designer
bencium/bencium-claude-code-design-skill · Frontend · same category
next-best-practices
vercel-labs/next-skills · Frontend · same category
karpathy-guidelines
forrestchang/andrej-karpathy-skills · Frontend · same category
Solid pick for teams standardizing on skills: reactome-database is focused, and the summary matches what you get after install.
Registry listing for reactome-database matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend reactome-database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: reactome-database is the kind of skill you can hand to a new teammate without a long onboarding doc.
reactome-database has been reliable in day-to-day use. Documentation quality is above average for community skills.
reactome-database is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
reactome-database reduced setup friction for our internal harness; good balance of opinion and flexibility.
reactome-database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend reactome-database for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for reactome-database matched our evaluation — installs cleanly and behaves as described in the markdown.
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