feather
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.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bytesagain1/featherFeather
Apache Feather/Arrow IPC format reference — 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, Python↔R 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 |
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bytesagain1-feather": {
"enabled": true,
"auto_update": true
}
}
}Tags
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