# 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.

## Facts
- Page: https://tashan.sh/capability/skill-oracle-samples-aidp-spark-debugging
- tashan id: skill:oracle-samples/aidp-spark-debugging
- Source: https://github.com/oracle-samples/oracle-aidp-samples
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 95.0
- Freshness: 90.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: UPL-1.0
- Official: no

## Install

```sh
cp -r aidp-spark-debugging ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-20 by tashan (https://tashan.sh) from public evidence. Scorer s5.