This entry duplicates databricks-dq-automation, which is the one we list in search.

databricks-dq-automation

Run repository-managed Databricks SQL data quality checks after pipeline changes and turn results into a PASS/FAIL report.

Skill by superdba111

IndexedMIT

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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/superdba111-databricks-dq-automation

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Run repository-managed Databricks SQL data quality checks after pipeline changes and turn results into a PASS/FAIL report.

Use cases: documents, backend, data

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What's inside

Skill name: databricks-dq-automation
Description: Run repository-managed Databricks SQL data quality checks after pipeline changes and turn results into a PASS/FAIL report.
License: MIT
Instructions: 18 lines in SKILL.md · view on GitHub

Before installing

Ships executable scripts

Files (2)

SKILL.md
run_silver_dq.py · scripts/

SKILL.md (first lines)

# databricks-dq-automation

Use this skill when pipeline work changes Bronze, Silver, Gold, or notebook orchestration and you need automated post-update DQ validation.

## Workflow

1. Read [`Agents/databricks-dq-automation.md`](../../Agents/databricks-dq-automation.md) before substantive work.
2. Prefer stored SQL in `dq_queries/` over handwritten one-off checks.
3. Run `skills/databricks-dq-automation/scripts/run_silver_dq.py` after notebook or workflow updates that touch Silver outputs.
4. Treat any failed DQ check as a blocker until the cause is understood or fixed.

## Repository Mapping

- Agent definition: `Agents/databricks-dq-automation.md`
- Query folder: `dq_queries/silver/`
- Automation script: `skills/databricks-dq-automation/scripts/run_silver_dq.py`

From superdba111/databricks-lab, MIT.

Signals

Stars: 0
Forks: 0
Open issues: 0
Last commit (this folder): Sep 11, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/superdba111/databricks-lab
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

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databricks-dq-automation skill. Agent Mart. https://agentmart.dev/skills/superdba111-databricks-dq-automation (last updated 2026-10-24)