split
Data splitting techniques and strategies reference — partitioning datasets, string splitting, file splitting, and ML train/test splits. Use when dividing data, chunking files, or designing data partitioning strategies.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bytesagain1/splitSplit — Data Splitting Reference
Quick-reference skill for data splitting techniques, partitioning strategies, and practical patterns.
When to Use
- Splitting strings by delimiters, patterns, or fixed widths
- Partitioning datasets for ML training/validation/test
- Dividing large files into manageable chunks
- Database sharding and horizontal partitioning
- Understanding split strategies for distributed systems
Commands
intro
scripts/script.sh intro
Overview of data splitting — concepts, common use cases, and terminology.
string
scripts/script.sh string
String splitting techniques — delimiters, regex, fixed-width, tokenization.
file
scripts/script.sh file
File splitting methods — by size, lines, patterns, and round-robin.
dataset
scripts/script.sh dataset
ML dataset splitting — train/val/test, stratified, time-series, k-fold.
database
scripts/script.sh database
Database partitioning — horizontal, vertical, hash, range, and list.
strategies
scripts/script.sh strategies
Splitting strategies for distributed systems — consistent hashing, sharding keys.
examples
scripts/script.sh examples
Practical split examples across languages and tools.
pitfalls
scripts/script.sh pitfalls
Common pitfalls and best practices when splitting data.
help
scripts/script.sh help
version
scripts/script.sh version
Configuration
| Variable | Description |
|---|---|
SPLIT_DIR | Data directory (default: ~/.split/) |
Powered by BytesAgain | bytesagain.com | [email protected]
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bytesagain1-split": {
"enabled": true,
"auto_update": true
}
}
}Tags
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