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

•

377

クラウドインフラストラクチャ

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

概要

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.

主な機能

Granular CLI controls for managing AI providers including Anthropic, OpenAI, and Ollama.
Advanced backend management for switching between OpenCode, NATS, and Claude Code environments.
377 GitHub stars
Interactive browser-based configuration editor with conditional fields and visual validation.
Centralized integration settings for CloudShip registration and Lighthouse gRPC endpoints.
Secure secret handling with redacted views and show/hide toggles for API keys.

ユースケース

Switching between LLM providers and models to optimize cost and performance for specific agent tasks.
Setting up local development environments using custom NATS servers or OpenCode backends.
Registering and connecting self-hosted Station instances to CloudShip for centralized team management.

概要

主な機能

Granular CLI controls for managing AI providers including Anthropic, OpenAI, and Ollama.
Advanced backend management for switching between OpenCode, NATS, and Claude Code environments.
377 GitHub stars
Interactive browser-based configuration editor with conditional fields and visual validation.
Centralized integration settings for CloudShip registration and Lighthouse gRPC endpoints.
Secure secret handling with redacted views and show/hide toggles for API keys.

ユースケース

Switching between LLM providers and models to optimize cost and performance for specific agent tasks.
Setting up local development environments using custom NATS servers or OpenCode backends.
Registering and connecting self-hosted Station instances to CloudShip for centralized team management.