ai-pattern-detection
Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authenticity, or natural voice.
Best use case
ai-pattern-detection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authenticity, or natural voice.
Teams using ai-pattern-detection should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-pattern-detection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-pattern-detection Compares
| Feature / Agent | ai-pattern-detection | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authenticity, or natural voice.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AI Pattern Detection Skill ## Purpose Automatically scan content for AI-generated writing patterns and provide authentic alternatives. This skill activates when Claude generates or reviews text content, ensuring outputs maintain human-like authenticity. ## When This Skill Applies - Generating any prose, documentation, or written content - Reviewing or editing existing documents - User mentions "AI detection", "writing quality", "authentic voice" - User asks to "make it sound more natural" or "less robotic" - Creating marketing copy, documentation, or communications ## Detection Categories ### Critical Patterns (Always Flag) These immediately identify content as AI-generated: 1. **Corporate Buzzwords**: "seamlessly integrates", "cutting-edge", "revolutionary", "next-generation", "comprehensive solution" 2. **Vague Intensifiers**: "dramatically improves", "significantly enhances", "vastly superior" 3. **Formulaic Transitions**: "Moreover,", "Furthermore,", "Additionally,", "In conclusion," 4. **Performative Language**: "aims to provide", "strives to achieve", "designed to enhance" 5. **Academic Passive**: "It has been observed that...", "It can be argued that..." ### Structural Patterns (Flag When Overused) 1. **Three-item lists**: "reliable, scalable, and secure" 2. **Em-dash overuse**: Multiple em-dashes in a paragraph 3. **Identical paragraph structure**: Topic → 3 points → conclusion repeated 4. **Balanced hedging**: "While X has challenges, it also offers opportunities" ### Contextual Patterns (Check Frequency) Words acceptable at 1:1000 ratio but problematic at 1:100: - manifest, revolutionary, next-generation - robust, scalable, comprehensive - synergy, leverage, utilize ## Replacement Guidelines | Instead of | Use | |-----------|-----| | "plays a crucial role" | "handles" / "manages" / "does" | | "seamlessly integrates" | "works with" / "connects to" | | "cutting-edge" | "new" / "recent" / specific tech name | | "Moreover," | [just start the next sentence] | | "comprehensive solution" | [specific description of what it does] | | "dramatically improves" | [specific metric: "reduces latency by 40%"] | | "robust" | "handles X requests/second" / "99.9% uptime" | ## Authenticity Markers to Include Strong authentic content includes: 1. **Specific opinions**: "I prefer X because..." not "X is preferred" 2. **Acknowledged trade-offs**: "This approach sacrifices Y for Z" 3. **Real-world constraints**: "Budget limited us to..." 4. **Uncertainty where appropriate**: "We're not sure yet whether..." 5. **Varied sentence structure**: Mix short and long, different openings 6. **Domain-specific vocabulary**: Use actual technical terms, not generic descriptions ## Application Process When generating or reviewing content: 1. **Scan** for critical banned patterns 2. **Count** contextual pattern frequency 3. **Check** structural variety 4. **Suggest** specific replacements 5. **Verify** authenticity markers present ## Examples ### Before (AI-Detected) > The platform seamlessly integrates cutting-edge technology to dramatically improve workflow efficiency. Moreover, it plays a crucial role in enabling next-generation solutions. In conclusion, this comprehensive approach transforms how teams collaborate. ### After (Authentic) > The platform connects to existing tools through standard APIs. Initial tests show 40% faster task completion. Teams report fewer context switches between applications. ## Script Reference For automated scanning, use `scripts/pattern_scanner.py` which: - Counts pattern frequencies - Flags critical violations - Generates replacement suggestions - Produces authenticity score (0-100) ## Integration This skill works with: - `/writing-validator` command for explicit validation - `writing-validator` agent for deep analysis - Any content generation task automatically
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