Bigquery Pipeline Audit
Official github skill covering pipeline automation, auditing for automating DevOps pipelines and CI/CD workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add bigquery-pipeline-audit npx -- -y @trustedskills/bigquery-pipeline-audit
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"bigquery-pipeline-audit": {
"command": "npx",
"args": [
"-y",
"@trustedskills/bigquery-pipeline-audit"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The bigquery-pipeline-audit skill enables users to audit and analyze data pipelines in Google BigQuery. It helps identify inefficiencies, track query performance, and ensure compliance with best practices for data processing workflows.
When to use it
- To review the efficiency of existing BigQuery jobs and optimize resource usage.
- Before deploying a new pipeline to verify that it adheres to organizational standards.
- To troubleshoot slow or failing queries by analyzing execution logs and metadata.
- As part of a regular maintenance routine for data engineering teams managing large-scale pipelines.
Key capabilities
- Analyzes query performance metrics
- Identifies unused or redundant datasets
- Tracks pipeline execution history
- Detects potential compliance issues
Example prompts
- "Audit the BigQuery pipeline for inefficiencies in the 'sales' dataset."
- "Review the last 30 days of pipeline executions and flag any anomalies."
- "Check if all queries in this project follow best practices for data governance."
Tips & gotchas
- Ensure you have proper access to BigQuery logs and metadata before running an audit.
- Audit results may vary based on the complexity and scale of your pipelines, so review findings carefully.
Tags
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🏢 Official
Published by the company or team that built the technology.