| name | sample-skill |
| description | Use this skill when the task requires sample skill capabilities. |
| executor | HYBRID |
| skill_id | engineering.cs-engineering.skill-tester.assets |
| status | ADOPTED |
| security | {"level":"standard","pii":false,"approval_required":false} |
| anchors | ["engineering"] |
| input_schema | [{"name":"code_or_task","type":"string","description":"Code snippet, script, or task description to process","required":true}] |
| output_schema | [{"name":"result","type":"string","description":"Primary output from sample skill"}] |
Sample Text Processor
Name: sample-text-processor
Tier: BASIC
Category: Text Processing
Dependencies: None (Python Standard Library Only)
Author: Claude Skills Engineering Team
Version: 1.0.0
Last Updated: 2026-02-16
Description
The Sample Text Processor is a simple skill designed to demonstrate the basic structure and functionality expected in the claude-skills ecosystem. This skill provides fundamental text processing capabilities including word counting, character analysis, and basic text transformations.
This skill serves as a reference implementation for BASIC tier requirements and can be used as a template for creating new skills. It demonstrates proper file structure, documentation standards, and implementation patterns that align with ecosystem best practices.
The skill processes text files and provides statistics and transformations in both human-readable and JSON formats, showcasing the dual output requirement for skills in the claude-skills repository.
Features
Core Functionality
- Word Count Analysis: Count total words, unique words, and word frequency
- Character Statistics: Analyze character count, line count, and special characters
- Text Transformations: Convert text to uppercase, lowercase, or title case
- File Processing: Process single text files or batch process directories
- Dual Output Formats: Generate results in both JSON and human-readable formats
Technical Features
- Command-line interface with comprehensive argument parsing
- Error handling for common file and processing issues
- Progress reporting for batch operations
- Configurable output formatting and verbosity levels
- Cross-platform compatibility with standard library only dependencies
Usage
Basic Text Analysis
python text_processor.py analyze document.txt
python text_processor.py analyze document.txt --output results.json
Text Transformation
python text_processor.py transform document.txt --mode uppercase
python text_processor.py transform document.txt --mode title --output transformed.txt
Batch Processing
python text_processor.py batch text_files/ --output results/
python text_processor.py batch text_files/ --format json --output batch_results.json