trim
Data trimming reference — whitespace trimming, string cleanup, data truncation, outlier trimming, and signal processing. Use when cleaning text data, removing noise, or preparing datasets by trimming unwanted elements.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bytesagain1/trimTrim — Data Trimming Reference
Quick-reference skill for data trimming techniques across text, numeric, and signal data.
When to Use
- Trimming whitespace from strings (leading, trailing, internal)
- Cleaning and normalizing text data
- Trimming outliers from statistical datasets
- Truncating data to fit constraints (columns, buffers)
- Signal trimming and noise removal
- Database column trimming and cleanup
Commands
intro
scripts/script.sh intro
Overview of trimming — concepts, types, and when to use each.
string
scripts/script.sh string
String trimming — whitespace, characters, patterns, normalization.
numeric
scripts/script.sh numeric
Numeric trimming — outliers, percentile clipping, winsorizing.
text
scripts/script.sh text
Text data cleaning — encoding, invisible characters, BOM removal.
database
scripts/script.sh database
Database trimming — SQL functions, column cleanup, data migration.
signal
scripts/script.sh signal
Signal and time-series trimming — noise removal, smoothing, clipping.
examples
scripts/script.sh examples
Practical trimming examples across languages and tools.
pitfalls
scripts/script.sh pitfalls
Common trimming pitfalls and best practices.
help
scripts/script.sh help
version
scripts/script.sh version
Configuration
| Variable | Description |
|---|---|
TRIM_DIR | Data directory (default: ~/.trim/) |
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-trim": {
"enabled": true,
"auto_update": true
}
}
}Tags
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