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Add Resources sections to docs, mlflow-evaluation, python-sdk, agent-bricks skills #280

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8 changes: 8 additions & 0 deletions databricks-skills/databricks-agent-bricks/SKILL.md
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Expand Up @@ -209,3 +209,11 @@ manage_mas(
- `1-knowledge-assistants.md` - Detailed KA patterns and examples
- `databricks-genie` skill - Detailed Genie patterns, curation, and examples
- `2-supervisor-agents.md` - Detailed MAS patterns and examples

## Resources

- [AI/BI Genie Spaces](https://docs.databricks.com/aws/en/genie/)
- [Mosaic AI Agent Framework](https://docs.databricks.com/aws/en/generative-ai/agent-framework/index.html)
- [Knowledge Assistants](https://docs.databricks.com/aws/en/generative-ai/agent-framework/build-knowledge-assistant.html)
- [Multi-Agent Supervisors](https://docs.databricks.com/aws/en/generative-ai/agent-framework/build-multi-agent-system.html)
- [Model Serving Endpoints](https://docs.databricks.com/aws/en/machine-learning/model-serving/index.html)
8 changes: 8 additions & 0 deletions databricks-skills/databricks-docs/SKILL.md
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Expand Up @@ -62,3 +62,11 @@ The llms.txt file is organized by category:
- **[databricks-unity-catalog](../databricks-unity-catalog/SKILL.md)** - Governance and catalog management
- **[databricks-model-serving](../databricks-model-serving/SKILL.md)** - Serving endpoints and model deployment
- **[databricks-mlflow-evaluation](../databricks-mlflow-evaluation/SKILL.md)** - MLflow 3 GenAI evaluation workflows

## Resources

- [Databricks Documentation Home](https://docs.databricks.com/)
- [llms.txt Index](https://docs.databricks.com/llms.txt) — machine-readable doc index for searching
- [Release Notes](https://docs.databricks.com/aws/en/release-notes/)
- [Databricks Knowledge Base](https://kb.databricks.com/)
- [REST API Reference](https://docs.databricks.com/api/workspace/introduction)
8 changes: 8 additions & 0 deletions databricks-skills/databricks-mlflow-evaluation/SKILL.md
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Expand Up @@ -146,3 +146,11 @@ 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 Guide](https://docs.databricks.com/aws/en/mlflow/llm-evaluate.html)
- [MLflow Scorers Reference](https://mlflow.org/docs/latest/llms/llm-evaluate/index.html)
- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html)
- [Agent Evaluation on Databricks](https://docs.databricks.com/aws/en/generative-ai/agent-evaluation/index.html)
- [MLflow Python API](https://mlflow.org/docs/latest/python_api/index.html)
9 changes: 9 additions & 0 deletions databricks-skills/databricks-python-sdk/SKILL.md
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Expand Up @@ -623,3 +623,12 @@ 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/aws/en/dev-tools/sdk-python.html)
- [SDK API Reference (PyPI)](https://databricks-sdk-py.readthedocs.io/)
- [Databricks CLI](https://docs.databricks.com/aws/en/dev-tools/cli/index.html)
- [Databricks Connect](https://docs.databricks.com/aws/en/dev-tools/databricks-connect/index.html)
- [REST API Reference](https://docs.databricks.com/api/workspace/introduction)
- [Authentication](https://docs.databricks.com/aws/en/dev-tools/auth/index.html)
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