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Arrow

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Apache Arrow in-memory columnar format reference. Zero-copy data exchange, columnar memory layout with validity bitmaps, pyarrow Table/RecordBatch/compute, Arrow Flight RPC for high-performance transfer, Dataset API with predicate pushdown, pandas/DuckDB/Polars/Spark integration, Gandiva LLVM compiler, and ADBC database connectivity.

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  • Added September 7, 2026
datapythongoexpressgitapidatabaseperformance

Works with

  • cli
  • api

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 7, 2026

npx -y skills add bytesagain/ai-skills --skill arrow --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: "arrow"
version: "1.0.0"
description: "Apache Arrow in-memory columnar format reference. Zero-copy data exchange, columnar memory layout with validity bitmaps, pyarrow Table/RecordBatch/compute, Arrow Flight RPC for high-performance transfer, Dataset API with predicate pushdown, pandas/DuckDB/Polars/Spark integration, Gandiva LLVM compiler, and ADBC database connectivity."
author: "BytesAgain"
homepage: "https://bytesagain.com"
source: "https://github.com/bytesagain/ai-skills"
tags: [arrow, columnar, memory, ipc, flight, data, analytics]
category: "data"
---

# Apache Arrow

Apache Arrow in-memory columnar format reference — zero-copy, cross-language.

## Commands

| Command | Description |
|---------|-------------|
| `intro` | Arrow overview, zero-copy, architecture |
| `format` | Columnar layout, buffers, record batches |
| `python` | pyarrow arrays, tables, compute functions |
| `flight` | Arrow Flight RPC server/client |
| `dataset` | Dataset API, partitioning, pushdown |
| `integration` | pandas/DuckDB/Polars/Spark/R interop |
| `gandiva` | LLVM expression compiler |
| `ecosystem` | Implementations, ADBC, projects |

Files in this skill

  • SKILL.md1.1 KB
  • scripts/script.sh17.2 KB

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