Agent skill

railway-deployment

Manage Railway deployments - view logs, redeploy, restart, or remove deployments. Use for deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes). NOT for deleting services - use railway-environment skill with isDeleted for that.

Stars 23,776
Forks 2,298

Install this agent skill to your Project

npx add-skill https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/railway/deployment

SKILL.md

Railway 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 railway-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 railway-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 railway-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 railway-deploy skill
  • Check service status: Use railway-status skill
  • Fix config issues: Use railway-environment skill
  • Create new service: Use railway-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.

Expand your agent's capabilities with these related and highly-rated skills.

davila7/claude-code-templates

verl-rl-training

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.

23,776 2,298
Explore
davila7/claude-code-templates

openrlhf-training

High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.

23,776 2,298
Explore
davila7/claude-code-templates

gguf-quantization

GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.

23,776 2,298
Explore
davila7/claude-code-templates

Claude Code Guide

Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.

23,776 2,298
Explore
davila7/claude-code-templates

qdrant-vector-search

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

23,776 2,298
Explore
davila7/claude-code-templates

behavioral-modes

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

23,776 2,298
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results