Agent Skills by ananyadbj
Showing 17 vetted skills indexed across 1 GitHub repositories.
run-locally
Run an AI agent server and chat UI locally for development and testing.
Add Tools to the Agent
Adds MCP tools, UC functions, and custom Python tools to an AI agent.
lakebase-setup
Automate Lakebase configuration for AI agent memory and checkpoint storage.
Deploy Agent to Databricks Apps
Automate AI agent deployment to Databricks Apps with resource and permission management.
discover-tools
Identify Databricks tools in a workspace for AI agent integration.
Migrate from Model Serving to Databricks Apps
Migrate AI agents from Databricks Model Serving to Databricks Apps.
quickstart
Set up Databricks development environment and configurations for Claude AI agent.
agent-memory
Store and retrieve user preferences and conversation history with semantic search.
modify-agent
Customize an AI agent's Python code, system prompt, tools, and memory management.
add-tools
Automate tool setup and permission granting for Databricks agents.
deploy
Deploy AI agents to Databricks Apps using DAB with pre-flight checks.
supervisor-api
Execute agent loops and tool calls server-side via the Databricks Supervisor API.
migrate-from-model-serving
Migrate MLflow ResponsesAgents from Databricks Model Serving to Databricks Apps.
supervisor-api-background-mode
Manage long-running agent tasks with Supervisor API background mode.
long-running-server
Execute long-running background tasks with PostgreSQL result storage.
create-tools
Automate creation of Databricks Genie spaces, vector search indexes, UC functions, and connections.
load-testing
Load test Databricks Apps to determine maximum QPS and generate interactive dashboards.