Agent Skills by Victor Lourenço
Showing 16 vetted skills indexed across 1 GitHub repositories.
run-locally
Run and test the Housing Assistant agent locally with uv and pytest.
modify-agent
Modify LangGraph agent code, MCP servers, and Databricks permissions.
lakebase-setup
Configure and validate Lakebase persistence for Databricks deployments with PostgreSQL permissions.
deploy
Deploy Databricks Asset Bundles with OAuth authentication and endpoint verification.
supervisor-api
Delegate agent tool looping to the Databricks Supervisor API via responses.create().
add-tools
Add MCP servers and grant Databricks permissions in databricks.yml.
discover-tools
Discover Databricks workspace tools and agent-accessible resources with JSON or markdown outputs.
migrate-from-model-serving
Migrate MLflow ResponsesAgent endpoints from Databricks Model Serving to Databricks Apps.
quickstart
Create Databricks authentication and project configuration files for agent development.
agent-memory
Add long-term and short-term memory to LangGraph agents using Databricks Lakebase.
supervisor-api-background-mode
Submits Supervisor API requests asynchronously and polls responses.retrieve until completion, converting output to stream events.
long-running-server
Run long-running AI agent tasks with asynchronous HTTP polling and streaming.
supervisor-api-client-function-calling
Execute client-defined function tools requested by the Supervisor API and resume conversations with outputs.
create-tools
Create Databricks Genie spaces, Vector Search indexes, UC functions, and HTTP connections.
agent-openai-memory
Store and retrieve multi-turn conversation history using OpenAI Agents SDK sessions.
load-testing
Identifies Databricks App maximum sustainable QPS via Locust load tests on POST /invocations.