deployment▌
railwayapp/railway-skills · updated Apr 8, 2026
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View, manage, and troubleshoot Railway deployments with logs, redeploy, and removal commands.
- ›List deployments and view deploy or build logs with filtering by level, text search, time range, or specific deployment ID
- ›Redeploy the most recent deployment or restart containers without rebuilding to pick up external resource changes
- ›Remove deployments (stops the service but keeps it intact; use the environment skill to delete services entirely)
- ›Supports JSON output for all commands an
Deployment Management
Manage existing Railway deployments: list, view logs, redeploy, or remove.
Important: "Remove deployment" (railway down) stops the current deployment but keeps the service. To delete a service entirely, use the environment skill with isDeleted: true.
When to Use
- User says "remove deploy", "take down service", "stop deployment", "railway down"
- User wants to "redeploy", "restart the service", "restart deployment"
- User asks to "list deployments", "show deployment history", "deployment status"
- User asks to "see logs", "show logs", "check errors", "debug issues"
List Deployments
railway deployment list --limit 10 --json
Shows deployment IDs, statuses, and metadata. Use to find specific deployment IDs for logs or debugging.
Specify Service
railway deployment list --service backend --limit 10 --json
View Logs
Deploy Logs
railway logs --lines 100 --json
In non-interactive mode, streaming is auto-disabled and CLI fetches logs then exits.
Build Logs
railway logs --build --lines 100 --json
For debugging build failures or viewing build output.
Logs for Failed/In-Progress Deployments
By default railway logs shows the last successful deployment. Use --latest for current:
railway logs --latest --lines 100 --json
Filter Logs
# Errors only
railway logs --lines 50 --filter "@level:error" --json
# Text search
railway logs --lines 50 --filter "connection refused" --json
# Combined
railway logs --lines 50 --filter "@level:error AND timeout" --json
Time-Based Filtering
# Logs from last hour
railway logs --since 1h --lines 100 --json
# Logs between 30 and 10 minutes ago
railway logs --since 30m --until 10m --lines 100 --json
# Logs from specific timestamp
railway logs --since 2024-01-15T10:00:00Z --lines 100 --json
Formats: relative (30s, 5m, 2h, 1d, 1w) or ISO 8601 timestamps.
Logs from Specific Deployment
Deploy logs:
railway logs <deployment-id> --lines 100 --json
Build logs:
railway logs --build <deployment-id> --lines 100 --json
Get deployment ID from railway deployment list.
Note: The deployment ID is a positional argument, NOT --deployment <id>. The --deployment flag is a boolean that selects deploy logs (vs --build for build logs).
Redeploy
Redeploy the most recent deployment:
railway redeploy --service <name> -y
The -y flag skips confirmation. Useful when:
- Config changed via environment skill
- Need to restart without new code
- Previous deploy succeeded but service misbehaving
Restart Container Only
Restart without rebuilding (picks up external resource changes):
railway restart --service <name> -y
Use when external resources (S3 files, config maps) changed but code didn't.
Remove Deployment
Takes down the current deployment. The service remains but has no running deployment.
# Remove deployment for linked service
railway down -y
# Remove deployment for specific service
railway down --service web -y
railway down --service api -y
This is what users mean when they say "remove deploy", "take down", or "stop the deployment".
Note: This does NOT delete the service. To delete a service entirely, use the environment skill with isDeleted: true.
CLI Options
deployment list
| Flag | Description |
|---|---|
-s, --service <NAME> |
Service name or ID |
-e, --environment <NAME> |
Environment name or ID |
--limit <N> |
Max deployments (default 20, max 1000) |
--json |
JSON output |
logs
| Flag | Description |
|---|---|
-s, --service <NAME> |
Service name or ID |
-e, --environment <NAME> |
Environment name or ID |
-d, --deployment |
Show deploy logs (default, boolean flag) |
-b, --build |
Show build logs (boolean flag) |
-n, --lines <N> |
Number of lines (required) |
-f, --filter <QUERY> |
Filter using query syntax |
--since <TIME> |
Start time (relative or ISO 8601) |
--until <TIME> |
End time (relative or ISO 8601) |
--latest |
Most recent deployment (even if failed) |
--json |
JSON output |
[DEPLOYMENT_ID] |
Specific deployment (optional) |
redeploy
| Flag | Description |
|---|---|
-s, --service <NAME> |
Service name or ID |
-y, --yes |
Skip confirmation |
restart
| Flag | Description |
|---|---|
-s, --service <NAME> |
Service name or ID |
-y, --yes |
Skip confirmation |
down
| Flag | Description |
|---|---|
-s, --service <NAME> |
Service name or ID |
-e, --environment <NAME> |
Environment name or ID |
-y, --yes |
Skip confirmation |
Presenting Logs
When showing logs:
- Include timestamps
- Highlight errors and warnings
- For build failures: show error and suggest fixes
- For runtime crashes: show stack trace context
- Summarize patterns (e.g., "15 timeout errors in last 100 logs")
Composability
- Push new code: Use
deployskill - Check service status: Use
statusskill - Fix config issues: Use
environmentskill - Create new service: Use
newskill
Error Handling
No Service Linked
No service linked. Run `railway service` to select one.
No Deployments Found
No deployments found. Deploy first with `railway up`.
No Logs Found
Deployment may be too old (log retention limits) or service hasn't produced output.
How to use deployment on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add deployment
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches deployment from GitHub repository railwayapp/railway-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate deployment. Access the skill through slash commands (e.g., /deployment) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
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
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★42 reviews- ★★★★★Xiao Chawla· Dec 20, 2024
deployment is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aditi Mehta· Dec 16, 2024
Keeps context tight: deployment is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kwame Ghosh· Dec 4, 2024
Registry listing for deployment matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Isabella Gupta· Nov 23, 2024
Keeps context tight: deployment is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Benjamin Martin· Nov 11, 2024
deployment reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ava Huang· Nov 7, 2024
Registry listing for deployment matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kwame Ramirez· Oct 26, 2024
deployment reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Daniel Sharma· Oct 14, 2024
deployment is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Sharma· Oct 2, 2024
Registry listing for deployment matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Isabella Srinivasan· Sep 21, 2024
Useful defaults in deployment — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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