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jmagly

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.

70🍴 7📅 Jan 23, 2026

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. version: 1.0.0

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 ofUse
"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

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

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LICENSE

ライセンスが設定されている

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説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
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1ヶ月以内に更新

+10
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10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
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+5
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1つ以上のタグが設定されている

+5

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