Individual skill
spark-engineer
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.
packages/codegraph/data/lifecycle-skills/spark-engineer/SKILL.md
Source commit c19c0bc0a04d25a849ce749fe88250e688f06437
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 12
- Repository last updated
- Sep 23, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- ai-workspace Repository topic
- automation Repository topic
- claude-code Repository topic
- code-quality Repository topic
- cursor Repository topic
- developer-tools Repository topic
- devops Repository topic
- data Derived category
- operations Derived category
- writing Derived category
- testing Derived category
- data-databases Derived category
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