Exploratory analysis & notebooks

The top-rated launch-quality Exploratory analysis & notebooks skill for AI agents is data-explore (grade B), followed by research-handoff and dataset-profiler. Skillspace rates 389 Exploratory analysis & notebooks skills; 83 are launch-quality.

pandas, polars, Jupyter, R tidyverse, cleaning and exploring datasets.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. data-explore B
  2. research-handoff B
  3. dataset-profiler B
  4. clean-data B
  5. rfm-customer-segmentation B
  6. exploring-data B
  7. data-storyteller B
  8. embedding-atlas B
  9. load-data B
  10. polars B
  11. networkx B
  12. fecfile B
  13. processing-network-data B
  14. zarr-xarray-integration B
  15. combined-resources B
  16. csv-stats-reporter B
  17. welly B
  18. lasio B
  19. xarray B
  20. csv-data-analysis C
  21. data-auditor-cleaner C
  22. data_analysis C
  23. dask C
  24. networkx C
  25. data_cleaning C

Frequently asked questions

What is the best Exploratory analysis & notebooks skill for AI agents?

The top-rated launch-quality Exploratory analysis & notebooks skill for AI agents is data-explore (grade B), followed by research-handoff and dataset-profiler. Skillspace rates 389 Exploratory analysis & notebooks skills; 83 are launch-quality.

How does Skillspace rate Exploratory analysis & notebooks skills?

Skillspace grades every Exploratory analysis & notebooks skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are Exploratory analysis & notebooks skills safe to install?

Of the 389 Exploratory analysis & notebooks skills Skillspace rates, 380 passed its safety scan with no flag from its model, and 9 are flagged: 6 as risky, 1 as unsafe and 2 as test fixtures. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.