etl-profiling
etl-profiling is a Data pipelines & ETL skill for AI agents, published by owid in the etl repository on GitHub. Skillspace rates etl-profiling D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Profile and optimize ETL step performance — CPU time, memory usage, and I/O bottlenecks. Use when an ETL step is slow, uses too much memory, or when the user asks to profile, optimize, or speed up a step. Covers profiling commands, categorical dtype optimization, vectorization, SUBSET filtering for fast dev runs, and iterative diagnose→fix→reprofile workflow.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 156
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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