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vaex

An AI agent skill from davila7/claude-code-templates, scored 60 out of 100 by code.

60/ 100C

Code score by group

  • Spec20/20
  • Description8/20
  • Procedure7/15
  • Done criteria0/15
  • Resources10/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
davila7/claude-code-templates
Folder
cli-tool/components/skills/scientific/vaex
License
MIT
GitHub stars
33,382
SKILL.md lines
177
Other files
6

Add vaex to your agent

npx skills add davila7/claude-code-templates --skill vaex

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

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All skills in davila7/claude-code-templates

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.