Agent Skills by keqingli1129
Showing 12 vetted skills indexed across 1 GitHub repositories.
keqingli1129run-locally
Start the local agent server and test its HTTP API endpoints.
keqingli1129add-tools
Register MCP tools in agent_server/agent.py and grant Databricks resource permissions.
keqingli1129lakebase-setup
Configure Lakebase PostgreSQL persistence and grant service principal permissions.
keqingli1129deploy
Deploy agent bundles to Databricks Apps using Databricks Asset Bundles.
keqingli1129discover-tools
Discover Databricks UC functions, Vector Search indexes, Genie spaces, and MCP endpoints.
keqingli1129migrate-from-model-serving
Migrate MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps.
keqingli1129quickstart
Configure Databricks authentication and MLflow settings for agent development.
keqingli1129long-running-server
Enable Responses API agent tasks to run beyond HTTP timeout limits with background execution and Lakebase-backed persistence.
keqingli1129agent-memory
Store and retrieve user memories across sessions using Databricks Lakebase.
keqingli1129create-tools
Create Databricks tool resources for agents to execute MCP-backed operations.
keqingli1129load-testing
Run Locust-based streaming load tests on Databricks Apps to measure QPS, TTFT, and latency.
keqingli1129modify-agent
Modify LangGraph/LangChain agents by updating models, instructions, and MCP tools.