Agent
Use for complex database analysis, optimization recommendations, schema design review, data quality assessment, and multi-step data exploration tasks.
5.0k 2d ago A 29 tokens
original Apache-2.0
Agent
Use for analyzing slow queries, recommending indexes, explaining query execution plans, and improving database performance.
5.0k 2d ago A 23 tokens
original Apache-2.0
Agent
Use for generating formatted reports from database queries, creating data summaries, building dashboards, and exporting analysis results in various formats.
5.0k 2d ago A 27 tokens
original Apache-2.0
oracle-samples/oracle-aidp-samples
Agent
Use this agent when the user has pointed at a single Databricks notebook (.ipynb / .py / .scala) and wants to know what it does, what it depends on, what risks the migrator will hit, and which gotchas (from references/gotchas.md) will apply. Run before manually authoring an entry in a migration manifest, OR as a…
46 yesterday A 108 tokens
UPL-1.0
oracle-samples/oracle-aidp-samples
Agent
Use this agent after aidp-migrate-job completes to review a migrated .ipynb for correctness (NOT just "did it run"). Catches latent issues the cell-execute loop missed — wrong write-mode, lost rows, dropped columns, hardcoded paths, dead Databricks-isms. Outputs a structured review report.
46 yesterday A 70 tokens
UPL-1.0