Decompose evaluation data pipeline for {{model}} into setup steps. Data collection: - Define data sources - Implement collectors - Schedule collection jobs Data processing: - Cleaning steps - Transformation logic - Validation rules Storage: - Schema design - Storage provisioning - Retention policies Analysis: - Metric calculation - Aggregation logic - Reporting output Create implementation tasks for {{engineering_team}} with dependencies.
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Category
CodingUse Cases
Pipeline planningData engineeringInfrastructure setup
Works Best With
claude-opus-4.5gpt-5.2gemini-2.0-flash
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