databricks-solutions/ai-dev-kit

1

databricks-python-sdk Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with da…

databricks-solutions/ai-dev-kit

187

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python-dev Python development guidance with code quality standards, error handling, testing practices, and environment managemen…

databricks-solutions/ai-dev-kit

94

3

skill-test Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluation…

databricks-solutions/ai-dev-kit

71

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databricks-docs Databricks documentation reference via llms.txt index. Use when other skills do not cover a topic, looking up unfamil…

databricks-solutions/ai-dev-kit

46

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databricks-unity-catalog Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with vo…

databricks-solutions/ai-dev-kit

44

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databricks-config Manage Databricks workspace connections: check current workspace, switch profiles, list available workspaces, or auth…

databricks-solutions/ai-dev-kit

43

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databricks-jobs Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs. Tri…

databricks-solutions/ai-dev-kit

39

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databricks-dbsql Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user men…

databricks-solutions/ai-dev-kit

33

9

databricks-genie Create and query Databricks Genie Spaces for natural language SQL exploration. Use when building Genie Spaces, export…

databricks-solutions/ai-dev-kit

33

10

databricks-spark-declarative-pipelines Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. …

databricks-solutions/ai-dev-kit

33

11

databricks-aibi-dashboards Create Databricks AI/BI dashboards. Use when creating, updating, or deploying Lakeview dashboards. CRITICAL: You MUST…

databricks-solutions/ai-dev-kit

30

12

databricks-lakebase-provisioned Patterns and best practices for Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. Use when cre…

databricks-solutions/ai-dev-kit

27

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databricks-lakebase-autoscale Patterns and best practices for Lakebase Autoscaling (next-gen managed PostgreSQL). Use when creating or managing Lak…

databricks-solutions/ai-dev-kit

26

14

databricks-metric-views Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building st…

databricks-solutions/ai-dev-kit

26

15

databricks-spark-structured-streaming Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, wo…

databricks-solutions/ai-dev-kit

26

16

databricks-agent-bricks Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL explorati…

databricks-solutions/ai-dev-kit

25

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databricks-synthetic-data-gen Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple…

databricks-solutions/ai-dev-kit

25

18

databricks-mlflow-evaluation MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using bui…

databricks-solutions/ai-dev-kit

24

19

databricks-model-serving Deploy and query Databricks Model Serving endpoints. Use when (1) deploying MLflow models or AI agents to endpoints, …

databricks-solutions/ai-dev-kit

24

20

databricks-app-python Builds Python-based Databricks applications using Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex. Handles OAuth a…

databricks-solutions/ai-dev-kit

23

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databricks-bundles Create and configure Declarative Automation Bundles (formerly Asset Bundles) with best practices for multi-environmen…

databricks-solutions/ai-dev-kit

22

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databricks-vector-search Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings. Use when …

databricks-solutions/ai-dev-kit

21

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spark-python-data-source Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and streaming readers/writ…

databricks-solutions/ai-dev-kit

20

24

databricks-unstructured-pdf-generation Generate PDF documents from HTML and upload to Unity Catalog volumes. Use for creating test PDFs, demo documents, rep…

databricks-solutions/ai-dev-kit

19

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databricks-zerobus-ingest Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creati…

databricks-solutions/ai-dev-kit

19

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databricks-asset-bundles Create and configure Databricks Asset Bundles (DABs) with best practices for multi-environment deployments. Use when …

databricks-solutions/ai-dev-kit

16

27

databricks-execution-compute Execute code and manage compute on Databricks. Use this skill when the user mentions: "run code", "execute", "run on …

databricks-solutions/ai-dev-kit

15

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databricks-iceberg Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mod…

databricks-solutions/ai-dev-kit

15

29

databricks-ai-functions Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, a…

databricks-solutions/ai-dev-kit

14

30

template A brief one-sentence description of what this skill helps with.

databricks-solutions/ai-dev-kit

14

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databricks-app-apx Build full-stack Databricks applications using APX framework (FastAPI + React).

databricks-solutions/ai-dev-kit

12

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lakebase-provisioned Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads.

databricks-solutions/ai-dev-kit

9

33

asset-bundles Create and configure Databricks Asset Bundles (DABs) with best practices for multi-environment deployments. Use when …

databricks-solutions/ai-dev-kit

8

34

spark-declarative-pipelines Creates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. …

databricks-solutions/ai-dev-kit

8

35

databricks-apps-python Builds Databricks applications. Prefers AppKit (TypeScript + React SDK) for new apps; falls back to Python frameworks…

databricks-solutions/ai-dev-kit

6

36

lakebase-autoscale Patterns and best practices for using Lakebase Autoscaling (next-gen managed PostgreSQL) with autoscaling, branching,…

databricks-solutions/ai-dev-kit

6

37

metric-views Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building st…

databricks-solutions/ai-dev-kit

6

38

mlflow-evaluation MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using bui…

databricks-solutions/ai-dev-kit

6

39

spark-structured-streaming Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, im…

databricks-solutions/ai-dev-kit

6

40

model-serving Deploy and query Databricks Model Serving endpoints. Use when (1) deploying MLflow models or AI agents to endpoints, …

databricks-solutions/ai-dev-kit

5

41

synthetic-data-generation Generate realistic synthetic data using Faker and Spark, with non-linear distributions, integrity constraints, and sa…

databricks-solutions/ai-dev-kit

5

42

unstructured-pdf-generation Generate synthetic PDF documents for RAG and unstructured data use cases. Use when creating test PDFs, demo documents…

databricks-solutions/ai-dev-kit

5

43

vector-search Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings. Use when …

databricks-solutions/ai-dev-kit

5

44

zerobus-ingest Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creati…

databricks-solutions/ai-dev-kit

5

45

databricks-synthetic-data-generation Generate realistic synthetic data using Faker and Spark, with non-linear distributions, integrity constraints, and sa…

databricks-solutions/ai-dev-kit

4

46

databricks-parsing Parse documents (PDF, DOCX, PPTX, images) using ai_parse_document, or build custom RAG pipelines. Use when the user a…

databricks-solutions/ai-dev-kit

3

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general-quality General response quality evaluation. Always applicable regardless of domain. Covers response structure, actionability…

databricks-solutions/ai-dev-kit

2

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sql-correctness SQL evaluation criteria for Databricks. Load when the trace contains execute_sql tool calls or SQL code in responses.…

databricks-solutions/ai-dev-kit

2

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tool-selection Evaluates whether the agent selected appropriate MCP tools instead of shell workarounds. Load when the trace contains…

databricks-solutions/ai-dev-kit

2

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agent-bricks Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL explorati…

databricks-solutions/ai-dev-kit

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