用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/thiagofernandes1987-create/APEX --skill sample-skill命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| 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"}] |
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
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.
python text_processor.py analyze document.txt
python text_processor.py analyze document.txt --output results.json
python text_processor.py transform document.txt --mode uppercase
python text_processor.py transform document.txt --mode title --output transformed.txt
python text_processor.py batch text_files/ --output results/
python text_processor.py batch text_files/ --format json --output batch_results.json
$ python text_processor.py analyze sample.txt
=== TEXT ANALYSIS RESULTS ===
File: sample.txt
Total words: 150
Unique words: 85
Total characters: 750
Lines: 12
Most frequent word: "the" (8 occurrences)
$ python text_processor.py analyze sample.txt --format json
{
"file": "sample.txt",
"statistics": {
"total_words": 150,
"unique_words": 85,
"total_characters": 750,
"lines": 12,
"most_frequent": {
"word": "the",
"count": 8
}
}
}
$ python text_processor.py transform sample.txt --mode title
Original: "hello world from the text processor"
Transformed: "Hello World From The Text Processor"
This skill requires only Python 3.7 or later with the standard library. No external dependencies are required.
cd scripts/
python text_processor.py --help
The text processor supports various configuration options through command-line arguments:
--format: Output format (json, text)--verbose: Enable verbose output and progress reporting--output: Specify output file or directory--encoding: Specify text file encoding (default: utf-8)The skill follows a simple modular architecture:
The skill includes comprehensive error handling for:
This skill serves as a reference implementation and contributions are welcome to demonstrate best practices:
As a BASIC tier skill, some advanced features are intentionally omitted:
This skill demonstrates the essential structure and quality standards required for BASIC tier skills in the claude-skills ecosystem while remaining simple and focused on core functionality.
skill for sample-skill
Use this skill when the task requires sample skill capabilities.
If this skill fails to produce the expected output: (1) verify input completeness, (2) retry with more specific context, (3) fall back to the parent workflow without this skill.