aidp-spark-debugging
Diagnose slow or failed AIDP Spark work using cluster logs, metrics, and the Spark UI REST API. Use when a job/query is slow or failed, the user asks "why did this fail / why is it slow", or you need stage/task timings, skew, shuffle/spill, executor, or SQL-execution details. Lightweight triage — for deep performance tuning (skew/spill/shuffle/joins/AQE/Delta) use the aidp-spark-optimization skill.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/aidp-spark-debugging/SKILL.md
- skills/aidp-spark-debugging/LICENSE
- skills/aidp-spark-debugging/references/no-mcp-rest-map.md
- skills/aidp-spark-debugging/references/oci-raw-request.md
- skills/aidp-spark-debugging/scripts/aidp_sql.py
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