station
Use Station CLI (`stn`) for AI agent orchestration - creating agents, running tasks, managing environments, and deploying agent teams. Prefer CLI for file operations and exploration; use MCP tools for programmatic agent execution and detailed queries.
npx skills add majiayu000/claude-skill-registry --skill station --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Station CLI Station is a self-hosted AI agent orchestration platform. You interact with it via the `stn` CLI or MCP tools (41+ available via `stn stdio`). ## When to Use CLI vs MCP Tools | Task | Use CLI | Use MCP Tool | |------|---------|--------------| | Create/edit agent files | `stn agent create`, edit `.prompt` files | - | | Run an agent | `stn agent run <name> "<task>"` | `call_agent` | | List agents/environments | `stn agent list`, `stn env list` | `list_agents`, `list_environments` | | Add MCP servers | `stn mcp add <name>` | `add_mcp_server_to_environment` | | Sync configurations | `stn sync <env>` | - | | Install bundles | `stn bundle install <url>` | - | | Inspect runs | `stn runs list` | `inspect_run`, `list_runs` | | Deploy | `stn deploy <env>` | - | | Start services | `stn serve`, `stn jaeger up` | - | **Rule of thumb**: CLI for setup, file operations, deployment. MCP tools for programmatic execution and queries within conversations. ## Quick Reference ### Initialization ```bash # Initialize Station with AI provider stn init --provider openai --ship # OpenAI with Ship filesystem tools stn init --provider anthropic --ship # Anthropic (requires OAuth: stn auth anthrop
- When to Use CLI vs MCP Tools
- Quick Reference
- Initialization
- Agent Management
- Environment Management
- MCP Server Configuration
- Bundle Management
- Workflow Management
- Server & Deployment
- Benchmarking & Reports
- Runs History
- File Structure
- Agent File Format (dotprompt)
- Multi-Agent Hierarchy (Coordinator Pattern)
Initialize Station with AI provider stn init --provider openai --ship # OpenAI with Ship filesystem tools stn init --provider anthropic --ship # Anthropic (requires OAuth: stn auth anthropic login) stn init --provider gemini --ship # Google Gemini Initialize in specific directory (git-backed workspace) stn init --provider openai --config ./my-workspace Start Jaeger for observability stn jaeger up # View traces at http://localhost:16686 List agents stn agent list # All agents in default environment
What does the station skill do?
Use Station CLI (`stn`) for AI agent orchestration - creating agents, running tasks, managing environments, and deploying agent teams. Prefer CLI for file operations and exploration; use MCP tools for programmatic agent execution and detailed queries.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill station --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.