databricks-solutions · CheeYuTan · Mar 10, 2026 · Mar 10, 2026
diff --git a/databricks-skills/databricks-agent-bricks/SKILL.md b/databricks-skills/databricks-agent-bricks/SKILL.md
@@ -204,6 +204,13 @@ manage_mas(
 - **[databricks-model-serving](../databricks-model-serving/SKILL.md)** - Deploy custom agent endpoints used as MAS agents
 - **[databricks-vector-search](../databricks-vector-search/SKILL.md)** - Build vector indexes for RAG applications paired with KAs
 
+## Resources
+
+- [Databricks Agent Bricks](https://docs.databricks.com/generative-ai/agent-bricks/index.html)
+- [Knowledge Assistants](https://docs.databricks.com/generative-ai/agent-bricks/knowledge-assistants.html)
+- [Supervisor Agents](https://docs.databricks.com/generative-ai/agent-bricks/supervisor-agents.html)
+- [Genie Spaces](https://docs.databricks.com/genie/index.html)
+
 ## See Also
 
 - `1-knowledge-assistants.md` - Detailed KA patterns and examples

diff --git a/databricks-skills/databricks-aibi-dashboards/SKILL.md b/databricks-skills/databricks-aibi-dashboards/SKILL.md
@@ -914,6 +914,12 @@ print(result["url"])
 - Use **separate text widgets** for title and subtitle at different y positions
 - Example: title at y=0 with height=1, subtitle at y=1 with height=1
 
+## Resources
+
+- [AI/BI Dashboards](https://docs.databricks.com/dashboards/index.html)
+- [Lakeview API Reference](https://docs.databricks.com/api/workspace/lakeview)
+- [Dashboard Embedding](https://docs.databricks.com/dashboards/embed.html)
+
 ## Related Skills
 
 - **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - for querying the underlying data and system tables

diff --git a/databricks-skills/databricks-app-python/SKILL.md b/databricks-skills/databricks-app-python/SKILL.md
@@ -199,6 +199,13 @@ class EntityIn(BaseModel):
 - **[app.yaml Reference](https://docs.databricks.com/aws/en/dev-tools/databricks-apps/app-runtime)** — command and env config
 - **[System Environment](https://docs.databricks.com/aws/en/dev-tools/databricks-apps/system-env)** — pre-installed packages, runtime details
 
+## Resources
+
+- [Databricks Apps Overview](https://docs.databricks.com/dev-tools/databricks-apps/index.html)
+- [App Configuration (app.yaml)](https://docs.databricks.com/dev-tools/databricks-apps/configuration.html)
+- [App Resources and Permissions](https://docs.databricks.com/dev-tools/databricks-apps/app-resources.html)
+- [Streamlit on Databricks](https://docs.databricks.com/dev-tools/databricks-apps/streamlit.html)
+
 ## Related Skills
 
 - **[databricks-app-apx](../databricks-app-apx/SKILL.md)** - full-stack apps with FastAPI + React

diff --git a/databricks-skills/databricks-config/SKILL.md b/databricks-skills/databricks-config/SKILL.md
@@ -20,3 +20,14 @@ Use the `manage_workspace` MCP tool for all workspace operations. Do NOT edit `~
 4. Present the result. For `status`/`switch`/`login`: show host, profile, username. For `list`: formatted table with the active profile marked.
 
 > **Note:** The switch is session-scoped — it resets on MCP server restart. For permanent profile setup, use `databricks auth login -p <profile>` and update `~/.databrickscfg` with `cluster_id` or `serverless_compute_id = auto`.
+
+## Related Skills
+
+- **[databricks-python-sdk](../databricks-python-sdk/SKILL.md)** - SDK patterns that depend on workspace configuration
+- **[databricks-docs](../databricks-docs/SKILL.md)** - Documentation reference for authentication methods
+
+## Resources
+
+- [Databricks CLI Authentication](https://docs.databricks.com/dev-tools/cli/authentication.html)
+- [Unified Auth Configuration](https://docs.databricks.com/dev-tools/auth/unified-auth.html)
+- [Environment Variables](https://docs.databricks.com/dev-tools/auth/env-variables.html)
diff --git a/databricks-skills/databricks-dbsql/SKILL.md b/databricks-skills/databricks-dbsql/SKILL.md
@@ -298,3 +298,20 @@ Load these for detailed syntax, full parameter lists, and advanced patterns:
 - **Define PK/FK constraints** on dimensional models for query optimization
 - **Use `COLLATE UTF8_LCASE`** for user-facing string columns that need case-insensitive search
 - **Use MCP tools** (`execute_sql`, `execute_sql_multi`) to test and validate all SQL before deploying
+
+## Related Skills
+
+- **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Governance, grants, and catalog management for SQL objects
+- **[databricks-aibi-dashboards](../databricks-aibi-dashboards/SKILL.md)** - Building dashboards that consume DBSQL queries
+- **[databricks-metric-views](../databricks-metric-views/SKILL.md)** - Defining reusable business metrics in SQL
+- **[databricks-spark-declarative-pipelines](../databricks-spark-declarative-pipelines/SKILL.md)** - ETL pipelines using SQL and materialized views
+- **[databricks-genie](../databricks-genie/SKILL.md)** - Natural language SQL exploration via Genie Spaces
+
+## Resources
+
+- [Databricks SQL Language Reference](https://docs.databricks.com/sql/language-manual/index.html)
+- [AI Functions](https://docs.databricks.com/large-language-models/ai-functions.html)
+- [Pipe Syntax](https://docs.databricks.com/sql/language-manual/sql-ref-pipe-syntax.html)
+- [Materialized Views](https://docs.databricks.com/sql/language-manual/sql-ref-materialized-views.html)
+- [SQL Scripting](https://docs.databricks.com/sql/language-manual/sql-ref-sql-scripting.html)
+- [Geospatial H3 Functions](https://docs.databricks.com/sql/language-manual/sql-ref-h3-geospatial-functions.html)
diff --git a/databricks-skills/databricks-docs/SKILL.md b/databricks-skills/databricks-docs/SKILL.md
@@ -55,6 +55,13 @@ The llms.txt file is organized by category:
 2. Read the specific docs to understand the feature
 3. Determine which skill/tools apply, then use them
 
+## Resources
+
+- [Databricks Documentation](https://docs.databricks.com/)
+- [Databricks llms.txt](https://docs.databricks.com/llms.txt)
+- [Release Notes](https://docs.databricks.com/release-notes/index.html)
+- [REST API Reference](https://docs.databricks.com/api/workspace/introduction)
+
 ## Related Skills
 
 - **[databricks-python-sdk](../databricks-python-sdk/SKILL.md)** - SDK patterns for programmatic Databricks access

diff --git a/databricks-skills/databricks-genie/SKILL.md b/databricks-skills/databricks-genie/SKILL.md
@@ -124,3 +124,9 @@ Use these skills in sequence:
 - **[databricks-synthetic-data-gen](../databricks-synthetic-data-gen/SKILL.md)** - Generate raw parquet data to populate tables for Genie
 - **[databricks-spark-declarative-pipelines](../databricks-spark-declarative-pipelines/SKILL.md)** - Build bronze/silver/gold tables consumed by Genie Spaces
 - **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Manage the catalogs, schemas, and tables Genie queries
+
+## Resources
+
+- [Genie Spaces](https://docs.databricks.com/genie/index.html)
+- [Genie Conversation API](https://docs.databricks.com/api/workspace/genie)
+- [Genie Best Practices](https://docs.databricks.com/genie/best-practices.html)
diff --git a/databricks-skills/databricks-lakebase-autoscale/SKILL.md b/databricks-skills/databricks-lakebase-autoscale/SKILL.md
@@ -292,3 +292,9 @@ These features are NOT yet supported in Lakebase Autoscaling:
 - **[databricks-python-sdk](../databricks-python-sdk/SKILL.md)** - SDK used for project management and token generation
 - **[databricks-asset-bundles](../databricks-asset-bundles/SKILL.md)** - deploying apps with Lakebase resources
 - **[databricks-jobs](../databricks-jobs/SKILL.md)** - scheduling reverse ETL sync jobs
+
+## Resources
+
+- [Lakebase Overview](https://docs.databricks.com/database/lakebase/index.html)
+- [Lakebase Autoscale](https://docs.databricks.com/database/lakebase/autoscale.html)
+- [Lakebase Branching](https://docs.databricks.com/database/lakebase/branching.html)
diff --git a/databricks-skills/databricks-lakebase-provisioned/SKILL.md b/databricks-skills/databricks-lakebase-provisioned/SKILL.md
@@ -306,3 +306,9 @@ databricks database start-database-instance --name my-lakebase-instance
 - **[databricks-python-sdk](../databricks-python-sdk/SKILL.md)** - SDK used for instance management and token generation
 - **[databricks-asset-bundles](../databricks-asset-bundles/SKILL.md)** - deploying apps with Lakebase resources
 - **[databricks-jobs](../databricks-jobs/SKILL.md)** - scheduling reverse ETL sync jobs
+
+## Resources
+
+- [Lakebase Overview](https://docs.databricks.com/database/lakebase/index.html)
+- [Lakebase Provisioned](https://docs.databricks.com/database/lakebase/provisioned.html)
+- [Lakebase Sync (Reverse ETL)](https://docs.databricks.com/database/lakebase/sync.html)
diff --git a/databricks-skills/databricks-metric-views/SKILL.md b/databricks-skills/databricks-metric-views/SKILL.md
@@ -219,6 +219,12 @@ Metric views work natively with:
 - **SQL Editor** - Direct SQL querying with MEASURE()
 - **Catalog Explorer UI** - Visual creation and browsing
 
+## Related Skills
+
+- **[databricks-dbsql](../databricks-dbsql/SKILL.md)** - SQL features used in metric view definitions
+- **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Catalog governance for metric view objects
+- **[databricks-aibi-dashboards](../databricks-aibi-dashboards/SKILL.md)** - Dashboards that consume metric views
+
 ## Resources
 
 - [Metric Views Documentation](https://docs.databricks.com/en/metric-views/)

diff --git a/databricks-skills/databricks-mlflow-evaluation/SKILL.md b/databricks-skills/databricks-mlflow-evaluation/SKILL.md
@@ -146,3 +146,10 @@ See `GOTCHAS.md` for complete list.
 - **[databricks-agent-bricks](../databricks-agent-bricks/SKILL.md)** - Building agents that can be evaluated with this skill
 - **[databricks-python-sdk](../databricks-python-sdk/SKILL.md)** - SDK patterns used alongside MLflow APIs
 - **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Unity Catalog tables for managed evaluation datasets
+
+## Resources
+
+- [MLflow GenAI Evaluation](https://mlflow.org/docs/latest/llms/llm-evaluate/index.html)
+- [MLflow Scorers](https://mlflow.org/docs/latest/llms/llm-evaluate/llm-as-judge.html)
+- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html)
+- [Databricks Agent Evaluation](https://docs.databricks.com/generative-ai/agent-evaluation/index.html)
diff --git a/databricks-skills/databricks-parsing/SKILL.md b/databricks-skills/databricks-parsing/SKILL.md
@@ -273,3 +273,9 @@ error_status[]       -- errors per page (if any)
 - **[databricks-agent-bricks](../databricks-agent-bricks/SKILL.md)** — Pre-built Knowledge Assistants (out-of-the-box RAG without custom parsing)
 - **[databricks-spark-declarative-pipelines](../databricks-spark-declarative-pipelines/SKILL.md)** — Production pipelines for batch document processing
 - **[databricks-dbsql](../databricks-dbsql/SKILL.md)** — Full AI functions reference including `ai_query`, `ai_extract`, `ai_classify`
+
+## Resources
+
+- [Document Parsing with Databricks](https://docs.databricks.com/generative-ai/tutorials/ai-cookbook/nbs/1-pdf-chunk-extract.html)
+- [Unstructured Data in Unity Catalog Volumes](https://docs.databricks.com/ingestion/file-upload/upload-to-volume.html)
+- [Foundation Model APIs](https://docs.databricks.com/machine-learning/foundation-models/index.html)
diff --git a/databricks-skills/databricks-python-sdk/SKILL.md b/databricks-skills/databricks-python-sdk/SKILL.md
@@ -623,3 +623,10 @@ If I'm unsure about a method, I should:
 - **[databricks-model-serving](../databricks-model-serving/SKILL.md)** - serving endpoint management
 - **[databricks-vector-search](../databricks-vector-search/SKILL.md)** - vector index operations
 - **[databricks-lakebase-provisioned](../databricks-lakebase-provisioned/SKILL.md)** - managed PostgreSQL via SDK
+
+## Resources
+
+- [Databricks SDK for Python](https://docs.databricks.com/dev-tools/sdk-python.html)
+- [SDK API Reference](https://databricks-sdk-py.readthedocs.io/en/latest/)
+- [Databricks Connect](https://docs.databricks.com/dev-tools/databricks-connect/index.html)
+- [REST API Reference](https://docs.databricks.com/api/workspace/introduction)
diff --git a/databricks-skills/databricks-spark-declarative-pipelines/SKILL.md b/databricks-skills/databricks-spark-declarative-pipelines/SKILL.md
@@ -575,3 +575,11 @@ For advanced configuration options (development mode, continuous pipelines, cust
 - **[databricks-asset-bundles](../databricks-asset-bundles/SKILL.md)** - for multi-environment deployment of pipeline projects
 - **[databricks-synthetic-data-gen](../databricks-synthetic-data-gen/SKILL.md)** - for generating test data to feed into pipelines
 - **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - for catalog/schema/volume management and governance
+
+## Resources
+
+- [Lakeflow Declarative Pipelines](https://docs.databricks.com/delta-live-tables/index.html)
+- [Streaming Tables](https://docs.databricks.com/sql/language-manual/sql-ref-streaming-tables.html)
+- [Materialized Views](https://docs.databricks.com/sql/language-manual/sql-ref-materialized-views.html)
+- [Change Data Capture](https://docs.databricks.com/delta-live-tables/cdc.html)
+- [Auto Loader](https://docs.databricks.com/ingestion/auto-loader/index.html)
diff --git a/databricks-skills/databricks-spark-structured-streaming/SKILL.md b/databricks-skills/databricks-spark-structured-streaming/SKILL.md
@@ -54,6 +54,21 @@ df.writeStream \
 |-------|-------------|-----------|
 | **Production Checklist** | Comprehensive best practices | See [streaming-best-practices.md](streaming-best-practices.md) |
 
+## Related Skills
+
+- **[databricks-spark-declarative-pipelines](../databricks-spark-declarative-pipelines/SKILL.md)** - Declarative streaming tables and DLT pipelines
+- **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Catalog governance for streaming tables
+- **[databricks-zerobus-ingest](../databricks-zerobus-ingest/SKILL.md)** - Near real-time ingestion into Delta tables via gRPC
+- **[databricks-dbsql](../databricks-dbsql/SKILL.md)** - SQL queries on streaming table outputs
+
+## Resources
+
+- [Structured Streaming Guide](https://docs.databricks.com/structured-streaming/index.html)
+- [Auto Loader](https://docs.databricks.com/ingestion/auto-loader/index.html)
+- [Streaming Tables](https://docs.databricks.com/sql/language-manual/sql-ref-streaming-tables.html)
+- [RocksDB State Store](https://docs.databricks.com/structured-streaming/rocksdb-state-store.html)
+- [Stream-Stream Joins](https://docs.databricks.com/structured-streaming/stream-stream-joins.html)
+
 ## Production Checklist
 
 - [ ] Checkpoint location is persistent (UC volumes, not DBFS)

diff --git a/databricks-skills/databricks-synthetic-data-gen/SKILL.md b/databricks-skills/databricks-synthetic-data-gen/SKILL.md
@@ -256,3 +256,9 @@ See [references/5-output-formats.md](references/5-output-formats.md) for detaile
 | `F.window` vs `Window` confusion | Use `from pyspark.sql.window import Window` for `row_number()`, `rank()`, etc. `F.window` is for streaming only. |
 
 See [references/6-troubleshooting.md](references/6-troubleshooting.md) for full troubleshooting guide.
+
+## Resources
+
+- [Faker Library](https://faker.readthedocs.io/en/master/)
+- [PySpark DataFrame API](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/dataframe.html)
+- [Unity Catalog Volumes](https://docs.databricks.com/connect/unity-catalog/volumes.html)
diff --git a/databricks-skills/databricks-unstructured-pdf-generation/SKILL.md b/databricks-skills/databricks-unstructured-pdf-generation/SKILL.md
@@ -192,3 +192,9 @@ AZURE_OPENAI_DEPLOYMENT=gpt-4o
 - **[databricks-vector-search](../databricks-vector-search/SKILL.md)** - Index generated documents for semantic search and RAG
 - **[databricks-synthetic-data-gen](../databricks-synthetic-data-gen/SKILL.md)** - Generate structured tabular data (complement to unstructured PDFs)
 - **[databricks-mlflow-evaluation](../databricks-mlflow-evaluation/SKILL.md)** - Evaluate RAG systems using the generated question/guideline pairs
+
+## Resources
+
+- [Unity Catalog Volumes](https://docs.databricks.com/connect/unity-catalog/volumes.html)
+- [ReportLab Documentation](https://docs.reportlab.com/)
+- [Document Parsing with Databricks](https://docs.databricks.com/generative-ai/tutorials/ai-cookbook/nbs/1-pdf-chunk-extract.html)
diff --git a/databricks-skills/databricks-vector-search/SKILL.md b/databricks-skills/databricks-vector-search/SKILL.md
@@ -360,3 +360,10 @@ The following MCP tools are available for managing Vector Search infrastructure.
 - **[databricks-unstructured-pdf-generation](../databricks-unstructured-pdf-generation/SKILL.md)** - Generate documents to index in Vector Search
 - **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Manage the catalogs and tables that back Delta Sync indexes
 - **[databricks-spark-declarative-pipelines](../databricks-spark-declarative-pipelines/SKILL.md)** - Build Delta tables used as Vector Search sources
+
+## Resources
+
+- [Vector Search Overview](https://docs.databricks.com/generative-ai/vector-search/index.html)
+- [Vector Search API Reference](https://docs.databricks.com/api/workspace/vectorsearchindexes)
+- [Embedding Models](https://docs.databricks.com/machine-learning/foundation-models/index.html)
+- [RAG Tutorial](https://docs.databricks.com/generative-ai/tutorials/ai-cookbook/index.html)
diff --git a/databricks-tools-core/databricks_tools_core/auth.py b/databricks-tools-core/databricks_tools_core/auth.py
@@ -160,9 +160,7 @@ def get_workspace_client() -> WorkspaceClient:
     # Cross-workspace: explicit token overrides env OAuth so tool operations
     # target the caller-specified workspace instead of the app's own workspace
     if force and host and token:
-        return tag_client(
-            WorkspaceClient(host=host, token=token, auth_type="pat", **product_kwargs)
-        )
+        return tag_client(WorkspaceClient(host=host, token=token, auth_type="pat", **product_kwargs))
 
     # In Databricks Apps (OAuth credentials in env), explicitly use OAuth M2M.
     # Setting auth_type="oauth-m2m" prevents the SDK from also reading
@@ -185,9 +183,7 @@ def get_workspace_client() -> WorkspaceClient:
 
     # Development mode: use explicit token if provided
     if host and token:
-        return tag_client(
-            WorkspaceClient(host=host, token=token, auth_type="pat", **product_kwargs)
-        )
+        return tag_client(WorkspaceClient(host=host, token=token, auth_type="pat", **product_kwargs))
 
     if host:
         return tag_client(WorkspaceClient(host=host, **product_kwargs))