Trim — Data Trimming Reference

---

name: "trim"

version: "1.0.0"

description: "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."

author: "BytesAgain"

homepage: "https://bytesagain.com"

source: "https://github.com/bytesagain/ai-skills"

tags: [trim, clean, strip, whitespace, truncate, outlier, data-processing, atomic]

category: "atomic"

---

# Trim — Data Trimming Reference

Quick-reference skill for data trimming techniques across text, numeric, and signal data.

When to Use

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/) |

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