
ai-pattern-detection
by jmagly
Context stack for autonomous agentic coding. 94 specialized agents, 65+ workflow commands, multi-agent coordination. Less babysitting, longer runtime. Claude Code / Warp / Factory AI.
SKILL.md
name: ai-pattern-detection description: 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. Use when relevant to the task.
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:
- Corporate Buzzwords: "seamlessly integrates", "cutting-edge", "revolutionary", "next-generation", "comprehensive solution"
- Vague Intensifiers: "dramatically improves", "significantly enhances", "vastly superior"
- Formulaic Transitions: "Moreover,", "Furthermore,", "Additionally,", "In conclusion,"
- Performative Language: "aims to provide", "strives to achieve", "designed to enhance"
- Academic Passive: "It has been observed that...", "It can be argued that..."
Structural Patterns (Flag When Overused)
- Three-item lists: "reliable, scalable, and secure"
- Em-dash overuse: Multiple em-dashes in a paragraph
- Identical paragraph structure: Topic → 3 points → conclusion repeated
- 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:
- Specific opinions: "I prefer X because..." not "X is preferred"
- Acknowledged trade-offs: "This approach sacrifices Y for Z"
- Real-world constraints: "Budget limited us to..."
- Uncertainty where appropriate: "We're not sure yet whether..."
- Varied sentence structure: Mix short and long, different openings
- Domain-specific vocabulary: Use actual technical terms, not generic descriptions
Application Process
When generating or reviewing content:
- Scan for critical banned patterns
- Count contextual pattern frequency
- Check structural variety
- Suggest specific replacements
- 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-validatorcommand for explicit validationwriting-validatoragent for deep analysis- Any content generation task automatically
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
1ヶ月以内に更新
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon
