deployment
This skill should be used when the user wants to manage Railway deployments, view logs, or debug issues. Covers deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes, why deploy failed). NOT for deleting services - use environment skill with isDeleted for that.
What this skill does
# 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 ```bash railway deployment list --limit 10 --json ``` Shows deployment IDs, statuses, and metadata. Use to find specific deployment IDs for logs or debugging. ### Specify Service ```bash railway deployment list --service backend --limit 10 --json ``` ## View Logs ### Deploy Logs ```bash railway logs --lines 100 --json ``` In non-interactive mode, streaming is auto-disabled and CLI fetches logs then exits. ### Build Logs ```bash 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: ```bash railway logs --latest --lines 100 --json ``` ### Filter Logs ```bash # 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 ```bash # 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: ```bash railway logs <deployment-id> --lines 100 --json ``` Build logs: ```bash 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: ```bash 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): ```bash 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. ```bash # 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 `deploy` skill - **Check service status**: Use `status` skill - **Fix config issues**: Use `environment` skill - **Create new service**: Use `new` skill ## 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.
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.