Fetch up-to-date Railway documentation to answer questions accurately.
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 railway-docsCompatible with
Supported agents
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionrailway-docsExecute the skills CLI command in your project's root directory to begin installation:
epx add davila7/claude-code-templates --skill railway-docsFetches railway-docs 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/railway-docs
Restart Cursor to activate railway-docs. Access via /railway-docsin 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.
backend-to-frontend-handoff-docs
davila7/claude-code-templates · Frontend · same repo
ml-paper-writing
davila7/claude-code-templates · AI/ML · same repo
nowait-reasoning-optimizer
davila7/claude-code-templates · AI/ML · same repo
plotly
davila7/claude-code-templates · Productivity · same repo
powershell-windows
davila7/claude-code-templates · Productivity · same repo
scientific-visualization
davila7/claude-code-templates · Productivity · same repo
railway-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend railway-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added railway-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in railway-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
railway-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for railway-docs matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: railway-docs is focused, and the summary matches what you get after install.
Registry listing for railway-docs matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend railway-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added railway-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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