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weft

New
7GitHub TrendingGeneralby goyoon2

Summary

Weft is a versatile utility skill that provides general-purpose assistance for common development tasks, such as file management, text processing, and system operations.

  • It helps developers automate repetitive workflows and streamline their command-line interactions without needing specialized tools.

Install & Usage

1
Create the skills directory
mkdir -p .claude/skills
2
Download the skill file

Add the configuration to .claude/skills/weft.md

3
Invoke in Claude Code
/weft

Use Cases

Quickly search and replace text across multiple files in a project directory.
Batch rename files according to a pattern or mapping list.
Generate a summary of file sizes, counts, and types in a folder.
Convert between common data formats like JSON, CSV, and YAML.
Extract and compress archives (zip, tar, gz) with simple commands.
Monitor a log file in real-time with filtering and highlighting.

Usage Examples

1

/weft find-and-replace 'old_text' 'new_text' --include '*.js'

2

/weft batch-rename --pattern 'IMG_*.jpg' --prefix 'vacation_'

3

/weft convert data.csv --to json --pretty

View source on GitHub

Security Audits

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Frequently Asked Questions

What is weft?

Weft is a versatile utility skill that provides general-purpose assistance for common development tasks, such as file management, text processing, and system operations. It helps developers automate repetitive workflows and streamline their command-line interactions without needing specialized tools.

How to install weft?

To install weft: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/weft.md. Finally, /weft in Claude Code.

What is weft best for?

weft is a other categorized under General. Created by goyoon2.

What can I use weft for?

weft is useful for: Quickly search and replace text across multiple files in a project directory.; Batch rename files according to a pattern or mapping list.; Generate a summary of file sizes, counts, and types in a folder.; Convert between common data formats like JSON, CSV, and YAML.; Extract and compress archives (zip, tar, gz) with simple commands.; Monitor a log file in real-time with filtering and highlighting..