What core tools are included in this text processing skill?

This skill focuses on the 'big three' of Unix text manipulation: grep for searching, sed for stream editing, and awk for pattern scanning and processing, along with ripgrep for high-performance searches.

Can I use this skill to automate log file analysis?

Yes, it includes specific common patterns for counting requests by IP, filtering for errors, and extracting timestamps from application logs.

Is this skill suitable for beginners?

The skill is rated as intermediate. While it provides clear examples, users should have a basic understanding of Bash variables and command-line navigation to get the most out of it.

Does it provide help with Regular Expressions (Regex)?

Absolutely. It includes a regex quick reference for metacharacters and character classes, along with debugging techniques and links to external testing resources.

Text Processing Mastery

Name: Text Processing Mastery
Author: pluginagentmarketplace

bypluginagentmarketplace

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Developer Tools

Simplifies complex text manipulation and data extraction using industry-standard Bash tools and regular expressions.

About

This skill empowers Claude to perform advanced text processing tasks with production-grade tools like grep, sed, and awk. It facilitates efficient file searching, stream editing, and complex data transformations, allowing users to build robust shell pipelines for log analysis, CSV/JSON manipulation, and automated configuration updates. Ideal for developers and system administrators, it provides the patterns and logic needed to bridge the gap between raw text data and actionable insights through masterful regex application.

Key Features

Stream transformation and in-place file editing with sed
Advanced regular expression design and debugging
Structured data processing and field calculations using awk
1 GitHub stars
Automated log analysis and text-based pipeline construction
Efficient pattern searching with grep and ripgrep

Use Cases

Extracting and summarizing IP addresses or error codes from server access logs
Automating bulk find-and-replace operations in project configuration files
Transforming unstructured text or CSV data into formatted reports or TSV files

About

Key Features

Stream transformation and in-place file editing with sed
Advanced regular expression design and debugging
Structured data processing and field calculations using awk
1 GitHub stars
Automated log analysis and text-based pipeline construction
Efficient pattern searching with grep and ripgrep

Use Cases

Extracting and summarizing IP addresses or error codes from server access logs
Automating bulk find-and-replace operations in project configuration files
Transforming unstructured text or CSV data into formatted reports or TSV files