# Text Processor

> Performs text manipulation operations including case conversion (uppercase, lowercase, capitalize), text reversal, and word counting. Use when the user needs to transform, analyze, or manipulate text strings.

- Skill: `egermano/text-processor` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add egermano/text-processor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/egermano/text-processor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- License: MIT
- Author: egermano (https://skillmd.com/u/egermano)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/egermano/text-processor

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# Text Processor Skill

This skill performs various text manipulation and analysis operations.

## When to Use

Use this skill when:
- The user needs to change text case (uppercase, lowercase, capitalize)
- Text needs to be reversed
- Word count or text analysis is required
- The user mentions terms like "convert to uppercase", "make lowercase", "capitalize", "reverse text", "count words", "text transformation"

## Instructions

### Operation: Uppercase
1. Take the input text
2. Convert all characters to uppercase
3. Return the transformed text

### Operation: Lowercase
1. Take the input text
2. Convert all characters to lowercase
3. Return the transformed text

### Operation: Capitalize
1. Take the input text
2. Split the text into words (separated by spaces)
3. For each word:
   - Convert the first character to uppercase
   - Convert remaining characters to lowercase
4. Join the words back together with spaces
5. Return the transformed text

### Operation: Reverse
1. Take the input text
2. Split the text into individual characters
3. Reverse the order of characters
4. Join the characters back together
5. Return the reversed text

### Operation: Word Count
1. Take the input text
2. Trim leading and trailing whitespace
3. Split the text by whitespace (spaces, tabs, newlines)
4. Filter out empty strings
5. Count the number of remaining words
6. Return the count

## Examples

### Example 1: Uppercase Conversion
**Input:** "Convert 'hello world' to uppercase"
**Steps:**
1. Operation: Uppercase
2. Input text: "hello world"
3. Transform: HELLO WORLD
**Output:** "HELLO WORLD"

### Example 2: Capitalize
**Input:** "Capitalize 'the quick brown fox'"
**Steps:**
1. Operation: Capitalize
2. Input text: "the quick brown fox"
3. Split into words: ["the", "quick", "brown", "fox"]
4. Capitalize each: ["The", "Quick", "Brown", "Fox"]
5. Join: "The Quick Brown Fox"
**Output:** "The Quick Brown Fox"

### Example 3: Reverse Text
**Input:** "Reverse the text 'hello'"
**Steps:**
1. Operation: Reverse
2. Input text: "hello"
3. Split: ['h', 'e', 'l', 'l', 'o']
4. Reverse: ['o', 'l', 'l', 'e', 'h']
5. Join: "olleh"
**Output:** "olleh"

### Example 4: Word Count
**Input:** "How many words are in 'The quick brown fox jumps over the lazy dog'?"
**Steps:**
1. Operation: Word count
2. Input text: "The quick brown fox jumps over the lazy dog"
3. Split by spaces: ["The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"]
4. Count: 9 words
**Output:** "The text contains 9 words"

### Example 5: Word Count with Extra Spaces
**Input:** "Count words in '  hello   world  '"
**Steps:**
1. Operation: Word count
2. Input text: "  hello   world  "
3. Trim and split: ["hello", "world"]
4. Count: 2 words
**Output:** "The text contains 2 words"

## Common Edge Cases

- **Empty strings**: Return appropriate message (e.g., "0 words" for word count)
- **Multiple spaces**: Treat consecutive spaces as a single separator for word counting
- **Special characters**: Preserve special characters in all operations except word counting
- **Unicode characters**: Handle international characters appropriately
- **Newlines and tabs**: Treat as whitespace for word counting
- **Mixed case input**: Process according to the operation requested

## Tips

- Always preserve the original text structure (spaces, punctuation) unless the operation specifically modifies it
- For capitalize operation, consider whether acronyms or proper nouns need special handling
- When counting words, clarify what constitutes a "word" if the text contains numbers or special characters
- Show both the original and transformed text in your response for clarity