Rob Bajra
Community@blackkadder · New York
Deep learning, machine learning, data science
Agent Skills by Rob Bajra
Showing 34 vetted skills indexed across 1 GitHub repositories.
Blackkadderdatabricks-docs
Fetch and parse Databricks llms.txt index to retrieve official documentation pages.
Blackkadderanalyzing-mlflow-trace
Analyze a single MLflow trace by trace ID to locate failure points.
Blackkadderanalyzing-mlflow-session
Aggregates MLflow chat traces into coherent dialogues for debugging and optimization.
Blackkadderdatabricks-config
Manage Databricks workspace connections for status, switching, and authentication.
Blackkadderdatabricks-spark-structured-streaming
Build Spark Structured Streaming pipelines with Kafka ingestion and watermarking.
Blackkadderspark-python-data-source
Build custom Python DataSource connectors for Apache Spark batch and streaming reads and writes.
Blackkadderdatabricks-model-serving
Deploy MLflow models and GenAI agents to scalable REST API endpoints.
Blackkadderdatabricks-dbsql
Enable procedural SQL, stored procedures, and recursive CTEs in Databricks SQL.
Blackkadderdatabricks-python-sdk
Guide Databricks Python SDK usage for clusters, jobs, SQL, and REST API.
Blackkaddersearching-mlflow-docs
Fetch official MLflow documentation pages and return Markdown source with verbatim code blocks.
Blackkadderdatabricks-vector-search
Create, manage, and query Databricks Vector Search indexes for RAG and semantic search.
Blackkadderdatabricks-iceberg
Enable Iceberg data access on Databricks via managed Iceberg, UniForm, and REST Catalog.
Blackkadderdatabricks-genie
Translate natural-language questions into SQL queries via Genie Spaces.
Blackkadderdatabricks-ai-functions
Enrich, extract, classify, summarize, and parse data within Databricks SQL and PySpark pipelines.
Blackkaddermlflow-onboarding
Detect MLflow project type and recommend quickstart tutorials and integration steps.
Blackkadderdatabricks-app-python
Build and deploy Python Databricks apps with authentication, resource bindings, and CLI workflows.
Blackkadderdatabricks-synthetic-data-gen
Generate realistic synthetic data for Databricks using Spark, Faker, and Pandas UDFs.
Blackkadderquerying-mlflow-metrics
Fetch aggregated trace metrics from MLflow tracking servers.
Blackkadderapx
Streamline full-stack Databricks App development with the apx toolkit.
Blackkadderdatabricks-zerobus-ingest
Ingest streaming records into Databricks Delta tables via Zerobus gRPC API.
Blackkadderdatabricks-jobs
Automate Databricks Jobs creation, listing, running, updating, and deletion.
Blackkadderdatabricks-mlflow-evaluation
Run MLflow GenAI evaluations with custom scorers, judges, and trace datasets.
Blackkadderinstrumenting-with-mlflow-tracing
Instrument Python and TypeScript applications with MLflow tracing for observability.
Blackkadderretrieving-mlflow-traces
Retrieve MLflow traces by ID or filtered criteria via CLI or Python API.