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use-railway

Operate Railway infrastructure: create projects, provision services and databases, manage object storage buckets, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, and query Railway docs. Use this skill whenever the user mentions Railway, deployments, services, environments, buckets, object storage, build failures, or infrastructure operations, even if they don't say "Railway" explicitly.

257stars24forksUpdated 5/9/2026

Security Assessment

High Risk(40/100)

Detected risks:

Remote Code Execution([references/setup.md] curl -fsSL https://railway.com/install.sh | sh)
Secret Exposure([references/setup.md] AWS_ACCESS_KEY)
Sensitive File Access([references/analyze-db.md] .env, [references/analyze-db.md] .ssh/, [references/setup.md] .env)
Security Score40/100

About use-railway

The `use-railway` skill enables users to efficiently manage Railway infrastructure through programmatic and CLI interactions. It simplifies the process of creating and organizing projects, deploying services, managing environments and variables, handling object storage buckets, and monitoring deployments. By providing a structured approach to operating Railway, this skill eliminates the need for users to manually navigate the Railway dashboard for routine tasks, reducing errors and accelerating deployment workflows. It ensures that operations are performed in the correct project, environment, and service context, which is particularly valuable in multi-project or multi-environment setups.

Key features of the skill include creating and managing projects, services, and deployments, provisioning databases and object storage buckets, configuring environment variables, and troubleshooting build or runtime failures. Users can query project, service, and environment information, extract IDs from Railway URLs, and perform operations with explicit context identifiers to avoid modifying global state. Preflight checks ensure the CLI is installed and properly configured, with telemetry and session management integrated to maintain consistent workflow execution. The skill also supports fetching documentation from Railway, enabling informed decision-making and context-aware operations.

This skill is ideal for developers, DevOps engineers, and infrastructure managers who regularly deploy applications or manage cloud-based services using Railway. It is particularly useful for teams working across multiple environments such as staging and production, or handling complex deployments that involve databases and object storage. By automating common administrative and operational tasks, `use-railway` streamlines infrastructure management, improves deployment reliability, and helps maintain organized, auditable project workflows.

FAQ

How do I set the project, environment, or service context when using this skill?

You should pass explicit IDs using the `--project`, `--environment`, and `--service` flags for CLI commands, or `--project-id`, `--environment-id`, and `--service-id` for scripts. If a Railway URL is provided, the IDs are extracted directly from it and take priority.

What should I do if the Railway CLI is not installed?

Install the CLI using the official script for macOS, Linux, or Windows via WSL: `bash <(curl -fsSL cli.new)`. You can also use `brew` for supported platforms.

Can I operate multiple environments within the same project?

Yes. Each environment (e.g., `production`, `staging`) has its own configuration and deployment history. You can specify the environment explicitly to manage services independently.

Does this skill modify the global Railway configuration?

No. By preferring explicit IDs over commands like `railway link`, the skill avoids altering global state and ensures operations are isolated to the intended context.

What are the prerequisites for using this skill?

You need the Railway CLI installed and accessible in your shell. Preflight checks also verify CLI version and session setup to ensure commands run correctly.

All Files

19 files
scripts/analyze-postgres.py143.6 KB
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SKILL.md10.5 KB
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references/analyze-db-mysql.md12.1 KB
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scripts/dal.py23.0 KB
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references/analyze-db-postgres.md27.7 KB
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references/analyze-db-redis.md9.5 KB
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references/analyze-db.md15.8 KB
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scripts/enable-pg-stats.py6.1 KB
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references/deploy.md8.2 KB
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scripts/railway-api.sh1.4 KB
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references/configure.md11.1 KB
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scripts/pg-extensions.py13.0 KB
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references/operate.md7.1 KB
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references/setup.md10.1 KB
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references/request.md8.4 KB
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scripts/analyze-mongo.py62.5 KB
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scripts/analyze-mysql.py48.6 KB
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scripts/analyze-redis.py42.2 KB
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references/analyze-db-mongo.md3.9 KB
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Install use-railway

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill