Run and test the agent locally. Use when: (1) User says 'run locally', 'start server', 'test agent', or 'localhost', (2) Need curl commands to test API, (3) Troubleshooting local development issues, (4) Configuring server options like port or hot-reload.
Quickly install run-locally AI skill to your development environment via command line
Source: databricks/app-templates.
| Port already in use | Use --port 8001 or kill existing process | | Authentication errors | Verify .env is correct; run quickstart skill | | Module not found | Run uv sync to install dependencies | | MLflow experiment not found | Ensure MLFLOWTRACKINGURI in .env is databricks:// |
If you see: "The provided MLFLOWEXPERIMENTID environment variable value does not exist"
The quickstart script configures this automatically. If you manually edited .env, ensure the profile name is included.
Run and test the agent locally. Use when: (1) User says 'run locally', 'start server', 'test agent', or 'localhost', (2) Need curl commands to test API, (3) Troubleshooting local development issues, (4) Configuring server options like port or hot-reload. Source: databricks/app-templates.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/databricks/app-templates --skill run-locallyRun and test the agent locally. Use when: (1) User says 'run locally', 'start server', 'test agent', or 'localhost', (2) Need curl commands to test API, (3) Troubleshooting local development issues, (4) Configuring server options like port or hot-reload. Source: databricks/app-templates.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/databricks/app-templates --skill run-locally Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/databricks/app-templates