Agent Skills by aaronachermann
Showing 34 vetted skills indexed across 1 GitHub repositories.
aaronachermanndatabricks-docs
Fetches and searches the llms.txt index to retrieve authoritative Databricks documentation for workflows and APIs.
aaronachermannanalyzing-mlflow-trace
Analyze MLflow traces to identify root causes, bottlenecks, and quality issues.
aaronachermannanalyzing-mlflow-session
Reconstruct multi-turn chat conversations from MLflow traces and identify problematic turns.
aaronachermanndatabricks-config
Manage Databricks workspace connections and session profiles interactively.
aaronachermanndatabricks-spark-structured-streaming
Build production Spark Structured Streaming pipelines with Kafka ingestion and Delta writes.
aaronachermannspark-python-data-source
Create PySpark data sources for batch and streaming connectors.
aaronachermanndatabricks-model-serving
Deploy MLflow models and LLM agents to Databricks Model Serving endpoints.
aaronachermanndatabricks-dbsql
Describe Databricks SQL advanced features for analytics pipelines.
aaronachermanndatabricks-python-sdk
Guide Databricks Python SDK, Connect, CLI, and REST API usage.
aaronachermannsearching-mlflow-docs
Retrieve MLflow documentation pages from the official docs site via llms.txt index.
aaronachermanndatabricks-vector-search
Create and manage Databricks vector search endpoints and indexes.
aaronachermanndatabricks-iceberg
Create Databricks Iceberg tables with UniForm and IRC for external engine reads.
aaronachermanndatabricks-genie
Create and manage Databricks Genie Spaces for natural-language SQL querying.
aaronachermanndatabricks-ai-functions
Expose Databricks AI Functions to SQL and PySpark pipelines.
aaronachermannmlflow-onboarding
Guides users to select MLflow use case and relevant quickstart tutorials.
aaronachermanndatabricks-app-python
Guide Python Databricks app development across frameworks with app.yaml resource wiring.
aaronachermanndatabricks-synthetic-data-gen
Generate story-driven synthetic datasets for Databricks with Spark and Faker UDFs.
aaronachermannquerying-mlflow-metrics
Fetch aggregated MLflow trace metrics with time-range bucketing and JSON or table output.
aaronachermannapx
Manage Databricks Apps with CLI and MCP tools for routes, OpenAPI, and components.
aaronachermanndatabricks-zerobus-ingest
Ingest records into Databricks Delta tables via the Zerobus gRPC API.
aaronachermanndatabricks-jobs
Manage Databricks Jobs lifecycle via Python SDK, CLI, or Asset Bundles.
aaronachermanndatabricks-mlflow-evaluation
Evaluate GenAI agent outputs with MLflow GenAI evaluation APIs.
aaronachermanninstrumenting-with-mlflow-tracing
Instruments Python and TypeScript apps with MLflow tracing for LLM calls and retrievals.
aaronachermannretrieving-mlflow-traces
Retrieves MLflow trace records by ID or using flexible search filters via CLI and Python API.