Railway Tools
Plugin VerifiziertRailway tools for Claude Code - manage projects, services, deployments
This plugin allows users to manage Railway projects, services, deployments, databases, and infrastructure directly through Claude Code. It wraps the robust Railway CLI and API, offering capabilities for setup, configuration, operation, and troubleshooting.
Maintenance
- warning:Commit recencyThe last commit date is not available, suggesting the extension may be unmaintained or has had no recent activity.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add railwayapp/railway-skills/plugin install railway@railway-skillsÄhnliche Erweiterungen
HCP Packer Registry Integration
95HCP Packer registry integration for tracking and managing image metadata.
GitLab Stack Config Generator
98Generates service-specific configuration files for GitLab stack projects using .env as primary config source. Creates nginx, PostgreSQL, Redis configs, meta files (CLAUDE.md, .gitignore, .dockerignore), with strict validation for secrets and paths
HashiCorp Agent Skills
98Terraform module generation and refactoring skills including module design and Terraform Stacks.
GitLab Stack Validator
95Validates GitLab stack projects before deployment, ensuring proper architecture patterns, directory structure, secrets management, .env configuration, and Docker best practices. Detects issues and provides actionable guidance
GitLab Stack Secrets Manager
95Manages Docker secrets for GitLab stack projects, ensuring secrets are never in .env or docker-compose.yml. Handles migration from environment variables, validation, auditing, and secure secret generation
Python Master Plugin
95Comprehensive Python 3.13+ expertise system covering modern Python development, async programming, type hints, performance optimization, and cloud deployment. PROACTIVELY activate for: (1) ANY Python task, (2) Python 3.13+ features (free-threading, JIT), (3) asyncio and concurrent programming, (4) Type hints and mypy/pyright, (5) Package management (uv, pip, poetry), (6) Project structure (src layout, pyproject.toml), (7) FastAPI and web development, (8) Pydantic data validation, (9) Testing (pytest, coverage), (10) Cloudflare Workers/Containers Python, (11) GitHub Actions Python workflows, (12) Performance optimization and profiling, (13) Security best practices (OWASP), (14) Ruff linting and formatting. Provides: Python 3.13 free-threading and JIT, asyncio patterns, comprehensive type hints, uv package management, FastAPI production patterns, Pydantic vs dataclass guidance, pytest testing, Cloudflare Python optimization, GitHub Actions caching, memory profiling, security hardening.