Same collection group
Snowflake AI Kit
Connect your coding agent to Snowflake’s Cortex Code workflows for SQL, data governance, dynamic tables, machine learning, and warehouse operations.
SkillOfficial publisherSkillNewly listed 2026-10-15
Databricks AI Tools
by Databricks · databricks/databricks-agent-skills
Build Databricks apps, jobs, pipelines, Lakebase integrations, model-serving workflows, and automation bundles with engineering-owned agent skills.
Install from the author’s instructions
Before connecting
- Use a coding assistant supported by Databricks AI Tools.
- For the canonical CLI route, install Databricks CLI and configure access for the workflows you intend to use.
Author README · installation
databricks aitools installSources: Author README · Checked 2026-10-15.
This engineering-owned repository is the current skills source. The older AI Dev Kit repository points here; it is not added as a second skills listing.
Sources: Author README · Checked 2026-10-15.
Tools and capabilities
| Capability | What it does |
|---|---|
| Data and pipeline workflows | Explore data and build Lakeflow jobs, Spark pipelines and SQL warehouse workflows. |
| Apps and deployment | Build Databricks apps and manage resources through Declarative Automation Bundles. |
| AI and governance | Use guidance for model serving, evaluation, vector search and Unity Catalog. |
Sources: Author README · Checked 2026-10-15.
Workflow examples
Suggested prompts for your own client. These are examples, not recorded tool executions.
Prompt 1
Review my Databricks pipeline requirements and propose a Lakeflow job structure with clear validation steps.Prompt 2
Help me package this Databricks application and its resources in a Declarative Automation Bundle for review.Sources and verification
Publisher-owned README and public GitHub metadata reviewed on 2026-10-15. Installation examples are transcribed from the author. No third-party package was installed or executed, and no account or hosted MCP endpoint was connected.
Recent activity refers to the repository push timestamp. It does not establish the product’s original release date. Stars are a dated snapshot of the entire repository.
- GitHub repository metadataVerified 2026-10-15
- Author READMEVerified 2026-10-15