What is the easiest way to configure Station settings?

The recommended method is using the browser-based UI by running 'stn config --browser', which provides a visual editor with validation and organized sections.

Where is the Station configuration file stored?

By default, the configuration is stored at ~/.config/station/config.yaml, which can be overridden using the --config flag or STN_CONFIG environment variable.

Can I use local AI models with Station?

Yes, Station supports various providers including Ollama and custom OpenAI-compatible base URLs for local or self-hosted model execution.

How do I switch the coding backend to Claude Code?

You can use the CLI command 'stn config set coding.backend claudecode' to switch the backend, then configure specific binary paths and timeouts as needed.

Station Configuration Manager

Name: Station Configuration Manager
Author: cloudshipai

bycloudshipai

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Cloud Infrastructure

Configures Station CLI settings for AI providers, coding backends, and agent infrastructure via browser UI or command line.

The station-config skill provides a comprehensive interface for managing CloudShip Station runtimes, allowing developers to seamlessly toggle between AI providers, configure coding backends like OpenCode or Claude Code, and manage CloudShip integrations. Whether using the intuitive browser-based visual editor with built-in validation or precise CLI commands for automated setups, this skill ensures your autonomous agent infrastructure is correctly tuned for performance, security, and connectivity across your entire team.

Key Features

01Granular CLI controls for managing AI providers including Anthropic, OpenAI, and Ollama.

02Advanced backend management for switching between OpenCode, NATS, and Claude Code environments.

03377 GitHub stars

04Interactive browser-based configuration editor with conditional fields and visual validation.

05Centralized integration settings for CloudShip registration and Lighthouse gRPC endpoints.

06Secure secret handling with redacted views and show/hide toggles for API keys.

Use Cases

01Switching between LLM providers and models to optimize cost and performance for specific agent tasks.

02Setting up local development environments using custom NATS servers or OpenCode backends.

03Registering and connecting self-hosted Station instances to CloudShip for centralized team management.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cloudshipai/station station-config

For use in Claude.ai and ChatGPT

Download Skill