/style-ai-writing
Detect mechanical AI patterns and improve to natural text. Trigger with "check for AI-ness", "detect mechanical writing", "make it sound natural", "fix AI-like text".
$ npx -y skills add wasabeef/claude-code-cookbook --skill style-ai-writing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/style-ai-writing
Context preview
The summary Claude sees to decide when to auto-load this skill.
Detect mechanical AI patterns and improve to natural text. Trigger with "check for AI-ness", "detect mechanical writing", "make it sound natural", "fix AI-like text".
SKILL.md
style-ai-writing.SKILL.mddescription: 'Detect mechanical AI patterns and improve to natural text. Trigger with "check for AI-ness", "detect mechanical writing", "make it sound natural", "fix AI-like text".'
allowed-tools:
- Read
Detect mechanical AI patterns and improve to natural text
Detects mechanical patterns in AI-generated text and provides suggestions for improving to more natural Japanese.
Usage
/ai-writing-check [options]
Options
- None: Analyze current file or selected text
- `--file <path>`: Analyze specific file
- `--dir <path>`: Batch analyze files in directory
- `--severity <level>`: Detection level (all/high/medium)
- `--fix`: Automatically fix detected patterns
Basic Examples
# Check AI writing style in file
cat README.md
/ai-writing-check
"Check this document for AI writing style and suggest improvements"
# Analyze specific file
/ai-writing-check --file docs/guide.md
"Detect AI-like expressions and suggest corrections to natural expressions"
# Scan entire project
/ai-writing-check --dir . --severity high
"Report only critical AI writing issues in the project"
Detected Patterns
1. Mechanical List Format Patterns
Examples detected:
- **Important**: This is an important item
- Completed item (with checkmark emoji)
- Hot topic (with fire emoji)
- Ready to start (with rocket emoji)
Improved examples:
- Important item: This is an important item
- Completed item
- Notable topic
- Ready to start
2. Exaggerated/Hype Expressions
Examples detected:
Revolutionary technology will change the industry.
This completely solves the problem.
Works like magic.
Improved examples:
Effective technology brings change to the industry.
Solves many problems.
Works smoothly.
3. Mechanical Emphasis Patterns
Examples detected:
**Idea**: New proposal (with lightbulb emoji)
**Caution**: Important warning (with warning emoji)
Improved examples:
Idea: New proposal
Note: Important warning
4. Redundant Technical Writing
Examples detected:
First, we will perform the setup.
You can use this tool.
Performance is greatly improved.
Improved examples:
First, perform setup.
You can use this tool.
Performance improves by 30%.
Collaboration with Claude
# Analyze entire document for AI writing style
cat article.md
/ai-writing-check
"Analyze and suggest improvements from these perspectives:
1. Detection of mechanical expressions
2. Suggestions for correction to natural Japanese
3. Priority-based improvement list"
# Focus on specific patterns
/ai-writing-check --file blog.md
"Pay special attention to exaggerated and redundant expressions and suggest improvements"
# Batch check multiple files
find . -name "*.md" -type f
/ai-writing-check --dir docs/
"Analyze AI writing style throughout the documentation and create a summary"
Detailed Examples
# Compare before and after improvement
/ai-writing-check --file draft.md
"Detect AI-like expressions and present them in the following format:
- Problem areas (with line numbers)
- Type of problem and reason
- Specific improvement suggestions
- Effect of improvement"
# Auto-fix mode
/ai-writing-check --file report.md --fix
"Automatically fix detected patterns and report results"
# Project AI writing style report
/ai-writing-check --dir . --severity all
"Analyze AI writing style throughout the project and provide:
1. Statistical information (detection count by pattern)
2. Top 5 most problematic files
3. Improvement priority matrix
4. Step-by-step improvement plan"
Advanced Usage Examples
# Apply custom rules
/ai-writing-check --file spec.md
"Check technical specifications with these additional criteria:
- Ambiguous expressions (appropriate, as needed)
- Lack of specificity (fast → specific numbers)
- Inconsistent terminology usage"
# Check for CI/CD integration
/ai-writing-check --dir docs/ --severity high
"Output results in GitHub Actions executable format:
- Number of errors and filenames
- Line numbers requiring correction
- Exit code configuration"
# Style guide compliance check
/ai-writing-check --file manual.md
"Additional checks based on company style guide:
- Honorific usage (unification of desu/masu form)
- Appropriate use of technical terms
- Consideration for readers"
Notes
- AI writing style determination varies by context, so treat suggestions as reference
- Adjust criteria according to document type (technical documents, blogs, manuals, etc.)
- You don't need to accept all suggestions; select appropriate ones
- The `--fix` option automatically corrects detected patterns
Command Execution Behavior
When you run the `/ai-writing-check` command, Claude performs the following processes:
1. **Pattern Detection**: Detects AI-like patterns from specified files or text 2. **Specific Correction Suggestions**: Presents correction suggestions with line numbers for each issue 3. **--fix Mode**: Automatically fixes detected patterns and displays a summary of results 4. **Report Generation**: Provides detection count, improvement priority, and comparison before/after correction
Claude reads the actual file contents and performs analysis based on the rules of textlint-rule-preset-ai-writing.
Reference
This command is created with reference to the [textlint-rule-preset-ai-writing](https://github.com/textlint-ja/textlint-rule-preset-ai-writing) rule set. It is a textlint rule preset for detecting mechanical patterns in AI-generated text and promoting more natural expressions.
Read more
description: 'Detect mechanical AI patterns and improve to natural text. Trigger with "check for AI-ness", "detect mechanical writing", "make it sound natural", "fix AI-like text".' allowed-tools: - Read
Detect mechanical AI patterns and improve to natural text
Detects mechanical patterns in AI-generated text and provides suggestions for improving to more natural Japanese.
Usage
/ai-writing-check [options]
Options
- None: Analyze current file or selected text
- `--file <path>`: Analyze specific file
- `--dir <path>`: Batch analyze files in directory
- `--severity <level>`: Detection level (all/high/medium)
- `--fix`: Automatically fix detected patterns
Basic Examples
# Check AI writing style in file cat README.md /ai-writing-check "Check this document for AI writing style and suggest improvements" # Analyze specific file /ai-writing-check --file docs/guide.md "Detect AI-like expressions and suggest corrections to natural expressions" # Scan entire project /ai-writing-check --dir . --severity high "Report only critical AI writing issues in the project"
Detected Patterns
1. Mechanical List Format Patterns
Examples detected: - **Important**: This is an important item - Completed item (with checkmark emoji) - Hot topic (with fire emoji) - Ready to start (with rocket emoji) Improved examples: - Important item: This is an important item - Completed item - Notable topic - Ready to start
2. Exaggerated/Hype Expressions
Examples detected: Revolutionary technology will change the industry. This completely solves the problem. Works like magic. Improved examples: Effective technology brings change to the industry. Solves many problems. Works smoothly.
3. Mechanical Emphasis Patterns
Examples detected: **Idea**: New proposal (with lightbulb emoji) **Caution**: Important warning (with warning emoji) Improved examples: Idea: New proposal Note: Important warning
4. Redundant Technical Writing
Examples detected: First, we will perform the setup. You can use this tool. Performance is greatly improved. Improved examples: First, perform setup. You can use this tool. Performance improves by 30%.
Collaboration with Claude
# Analyze entire document for AI writing style cat article.md /ai-writing-check "Analyze and suggest improvements from these perspectives: 1. Detection of mechanical expressions 2. Suggestions for correction to natural Japanese 3. Priority-based improvement list" # Focus on specific patterns /ai-writing-check --file blog.md "Pay special attention to exaggerated and redundant expressions and suggest improvements" # Batch check multiple files find . -name "*.md" -type f /ai-writing-check --dir docs/ "Analyze AI writing style throughout the documentation and create a summary"
Detailed Examples
# Compare before and after improvement /ai-writing-check --file draft.md "Detect AI-like expressions and present them in the following format: - Problem areas (with line numbers) - Type of problem and reason - Specific improvement suggestions - Effect of improvement" # Auto-fix mode /ai-writing-check --file report.md --fix "Automatically fix detected patterns and report results" # Project AI writing style report /ai-writing-check --dir . --severity all "Analyze AI writing style throughout the project and provide: 1. Statistical information (detection count by pattern) 2. Top 5 most problematic files 3. Improvement priority matrix 4. Step-by-step improvement plan"
Advanced Usage Examples
# Apply custom rules /ai-writing-check --file spec.md "Check technical specifications with these additional criteria: - Ambiguous expressions (appropriate, as needed) - Lack of specificity (fast → specific numbers) - Inconsistent terminology usage" # Check for CI/CD integration /ai-writing-check --dir docs/ --severity high "Output results in GitHub Actions executable format: - Number of errors and filenames - Line numbers requiring correction - Exit code configuration" # Style guide compliance check /ai-writing-check --file manual.md "Additional checks based on company style guide: - Honorific usage (unification of desu/masu form) - Appropriate use of technical terms - Consideration for readers"
Notes
- AI writing style determination varies by context, so treat suggestions as reference
- Adjust criteria according to document type (technical documents, blogs, manuals, etc.)
- You don't need to accept all suggestions; select appropriate ones
- The `--fix` option automatically corrects detected patterns
Command Execution Behavior
When you run the `/ai-writing-check` command, Claude performs the following processes:
1. **Pattern Detection**: Detects AI-like patterns from specified files or text 2. **Specific Correction Suggestions**: Presents correction suggestions with line numbers for each issue 3. **--fix Mode**: Automatically fixes detected patterns and displays a summary of results 4. **Report Generation**: Provides detection count, improvement priority, and comparison before/after correction
Claude reads the actual file contents and performs analysis based on the rules of textlint-rule-preset-ai-writing.
Reference
This command is created with reference to the [textlint-rule-preset-ai-writing](https://github.com/textlint-ja/textlint-rule-preset-ai-writing) rule set. It is a textlint rule preset for detecting mechanical patterns in AI-generated text and promoting more natural expressions.
A collection of commands, roles, and automation scripts for Claude Code. Automate your workflow without unnecessary confirmations, allowing you to focus on what matters.
Repo: wasabeef/claude-code-cookbook
Other skills on claude-code-cookbook.
- /analyze-dependencies
Analyze project dependencies and evaluate architectural health. Trigger with "analyze dependencies", "detect circular dependencies", "architecture issues?", "check module coupling", "find layer violations". Generates dependency matrix, fan-in/fan-out analysis, and prioritized
Open skill - /analyze-performance
Performance analysis based on Core Web Vitals with UX scoring. Trigger with "analyze performance", "improve speed", "check Core Web Vitals", "page speed", "improve LCP", "identify performance issues".
Open skill - /check-fact
Verify information accuracy against codebase and documentation. Trigger with "is this correct?", "fact check", "verify this", "is this accurate?".
Open skill - /check-prompt
Evaluate and improve AI prompt quality. Trigger with "check this prompt", "evaluate prompt quality", "improve this prompt".
Open skill - /commit-message
Generate commit messages from staged changes. Trigger with "suggest commit message", "generate commit message", "what should the commit say?", "write commit message".
Open skill - /context7
Search technical documentation via Context7 MCP. Trigger with "check the docs", "look up documentation", "how to use this library?", "API reference".
Open skill

