plugins/utopia-studio-cobuild-product/skills/railway-deploy/SKILL.md
This skill should be used when the user wants to push code to Railway, says "railway up", "deploy", "deploy to railway", "ship", or "push". For initial setup or creating services, use new skill. For Docker images, use environment skill.
npx skillsauth add The-Utopia-Studio/skills deployInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Deploy code from the current directory to Railway using railway up.
Always use the -m flag with a descriptive commit message summarizing what's being deployed:
railway up --detach -m "Add user authentication endpoint"
Good commit messages:
Starts deploy and returns immediately. Use for most deploys.
railway up --detach -m "Deploy description here"
Streams build logs until complete. Use when user wants to watch the build or needs to debug issues.
railway up --ci -m "Deploy description here"
When to use CI mode:
Default is linked service. To deploy to a different service:
railway up --detach --service backend -m "Deploy description here"
Deploy to a project without linking first:
railway up --project <project-id> --environment production --detach -m "Deploy description here"
Requires both --project and --environment flags.
| Flag | Description |
|------|-------------|
| -m, --message <MSG> | Commit message describing the deploy (always use this) |
| -d, --detach | Don't attach to logs (default) |
| -c, --ci | Stream build logs, exit when done |
| -s, --service <NAME> | Target service (defaults to linked) |
| -e, --environment <NAME> | Target environment (defaults to linked) |
| -p, --project <ID> | Target project (requires --environment) |
| [PATH] | Path to deploy (defaults to current directory) |
Railway CLI walks UP the directory tree to find a linked project. If you're in a subdirectory of a linked project, you don't need to relink.
For subdirectory deployments, prefer setting rootDirectory via the environment skill, then deploy normally with railway up.
Deploying to <service>...
Use deployment skill to check build status (with --lines flag).
Build logs stream inline. If build fails, the error will be in the output.
Do NOT run railway logs --build after CI mode - the logs already streamed. If you need
more context, use deployment skill with --lines flag (never stream).
service skilldeployment skillenvironment skillenvironment skillNo Railway project linked. Run `railway link` first.
No service linked. Use --service flag or run `railway service` to select one.
The build logs already streamed - analyze them directly from the railway up --ci output.
Do NOT run railway logs after CI mode (it streams forever without --lines).
Common issues:
development
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
development
Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it.
development
Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations.
tools
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.