Skill · em Dados, IA e pesquisa

vaex

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…

Procedência

Antes de instalar

7 arquivos · 82,7 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/vaex/.

d=".claude/skills/vaex"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/vaex"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/core_dataframes.md" "$u/references/core_dataframes.md" \
  -o "$d/references/data_processing.md" "$u/references/data_processing.md" \
  -o "$d/references/io_operations.md" "$u/references/io_operations.md" \
  -o "$d/references/machine_learning.md" "$u/references/machine_learning.md" \
  -o "$d/references/performance.md" "$u/references/performance.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/vaex/.

d="$HOME/.claude/skills/vaex"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/vaex"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/core_dataframes.md" "$u/references/core_dataframes.md" \
  -o "$d/references/data_processing.md" "$u/references/data_processing.md" \
  -o "$d/references/io_operations.md" "$u/references/io_operations.md" \
  -o "$d/references/machine_learning.md" "$u/references/machine_learning.md" \
  -o "$d/references/performance.md" "$u/references/performance.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/vaex/.

d=".agents/skills/vaex"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/vaex"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/core_dataframes.md" "$u/references/core_dataframes.md" \
  -o "$d/references/data_processing.md" "$u/references/data_processing.md" \
  -o "$d/references/io_operations.md" "$u/references/io_operations.md" \
  -o "$d/references/machine_learning.md" "$u/references/machine_learning.md" \
  -o "$d/references/performance.md" "$u/references/performance.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/vaex/.

d="$HOME/.agents/skills/vaex"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/vaex"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/core_dataframes.md" "$u/references/core_dataframes.md" \
  -o "$d/references/data_processing.md" "$u/references/data_processing.md" \
  -o "$d/references/io_operations.md" "$u/references/io_operations.md" \
  -o "$d/references/machine_learning.md" "$u/references/machine_learning.md" \
  -o "$d/references/performance.md" "$u/references/performance.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/vaex/.

d=".agents/skills/vaex"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/vaex"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/core_dataframes.md" "$u/references/core_dataframes.md" \
  -o "$d/references/data_processing.md" "$u/references/data_processing.md" \
  -o "$d/references/io_operations.md" "$u/references/io_operations.md" \
  -o "$d/references/machine_learning.md" "$u/references/machine_learning.md" \
  -o "$d/references/performance.md" "$u/references/performance.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/vaex/.

d="$HOME/.gemini/antigravity-cli/skills/vaex"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/vaex"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/core_dataframes.md" "$u/references/core_dataframes.md" \
  -o "$d/references/data_processing.md" "$u/references/data_processing.md" \
  -o "$d/references/io_operations.md" "$u/references/io_operations.md" \
  -o "$d/references/machine_learning.md" "$u/references/machine_learning.md" \
  -o "$d/references/performance.md" "$u/references/performance.md" \
  -o "$d/references/visualization.md" "$u/references/visualization.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.vaex

Prévia do SKILL.md

---
name: vaex
description: 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 wi…
---

# Vaex

## Overview

Vaex is a high-performance Python library designed for lazy, out-of-core DataFrames to process and visualize tabular datasets that are too large to fit into RAM. Vaex can process over a billion rows per second, enabling interactive data exploration and analysis on datasets with billions of rows.

## When to Use This Skill

Use Vaex when:
- Processing tabular datasets larger than available RAM (gigabytes to terabytes)
- Performing fast statistical aggregations on massive datasets
- Creating visualizations and heatmaps of large datasets
- Building machine learning pipelines on big data
- Converting between data formats (CSV, HDF5, Arrow, Parquet)
- Needing lazy evaluation and virtual columns to avoid memory overhead
- Working with astronomical data, financial time series, or other large-scale scientific datasets

## Core Capabilities

Vaex provides six primary capability areas, each documented in detail in the references directory:

### 1. DataFrames and Data Loading

Load and create Vaex DataFrames from various sources including files (HDF5, CSV, Arrow, Parquet), pandas DataFrames, NumPy arrays, and dictionaries. Reference `references/core_dataframes.md` for:
- Opening large files efficiently
- Converting from pandas/NumPy/Arrow
- Working with example datasets
- Understanding DataFrame structure

### 2. Data Processing and Manipulation

Perform filtering, create virtual columns, use expressions, and aggregate data without loading everything into memory. Reference `references/data_processing.md` for:
- Filtering and selections
- Virtual columns and expressions
- Groupby operations and aggregations
…

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