π¦ ClawHubβ¦ BytesAgain
Feather
by @bytesagain1
Apache Feather/Arrow IPC format reference. V1 vs V2 format differences, pyarrow.feather read/write with compression, R arrow package integration, Arrow type...
TERMINAL
clawhub install featherπ About This Skill
name: "feather" version: "1.0.0" description: "Apache Feather/Arrow IPC format reference. V1 vs V2 format differences, pyarrow.feather read/write with compression, R arrow package integration, Arrow type system, Feather vs Parquet benchmarks, pandas DataFrame caching, LZ4/ZSTD compression options, and pipeline best practices." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [feather, arrow, ipc, columnar, pandas, dataframe, data] category: "data"
Feather
Apache Feather/Arrow IPC format reference β fast columnar DataFrame I/O.
Commands
| Command | Description |
|---------|-------------|
| intro | Feather overview, V1 vs V2, key properties |
| python | pyarrow.feather read/write, benchmarks |
| r-lang | R arrow package, PythonβR interop |
| schema | Arrow types, nested types, metadata |
| vs-parquet | Speed vs compression tradeoffs |
| pandas | pd.read_feather, caching patterns |
| compression | LZ4/ZSTD options, when to use each |
| best-practices | Pipeline patterns, file size guidelines |