How does the AI Pattern Detection skill identify robotic writing?

It scans for 'Critical Patterns' such as corporate buzzwords (e.g., 'seamlessly integrates'), formulaic transitions, and specific structural markers like identical paragraph lengths that are common in AI outputs.

Does it work with existing documentation?

Absolutely. You can use the skill to review or edit existing documents by triggering the /writing-validator command or asking Claude to 'make this sound more natural'.

Is this skill part of the Factory AI repository?

Yes, it is part of the factory plugin stack designed for autonomous agentic coding and high-quality documentation workflows.

Can this skill help me pass AI content detectors?

Yes, by suggesting authentic markers such as specific opinions, trade-offs, and varied sentence structures, it helps transform generic AI text into content that reads as human-authored.

Which words does the skill flag most often?

It flags overused AI terms like 'comprehensive', 'robust', 'synergy', 'leverage', and 'cutting-edge', suggesting more specific or simpler alternatives.

AI Pattern Detection

Name: AI Pattern Detection
Author: jmagly

byjmagly

•

콘텐츠 관리

Identifies AI-generated writing tropes and suggests authentic, human-sounding alternatives to improve content quality.

소개

The AI Pattern Detection skill for Claude Code helps developers and technical writers eliminate 'AI-speak' by scanning content for common robotic markers like corporate buzzwords, formulaic transitions, and repetitive sentence structures. It provides a standardized framework for transforming generic LLM prose into natural, authoritative text through specific replacement guidelines and authenticity markers. This skill is essential for anyone using Claude to generate documentation, marketing copy, or technical communications that must maintain a credible, human-like voice while avoiding common AI detection triggers.

주요 기능

Real-time scanning for corporate buzzwords and vague intensifiers
Automated replacement suggestions for action-oriented language
67 GitHub stars
Contextual frequency monitoring for overused 'AI' vocabulary
Authenticity scoring and validation via specialized writing agents
Structural analysis to detect overused patterns like triple-item lists

사용 사례

Refining AI-generated technical documentation for a natural developer voice
Validating external communications to ensure high authenticity scores
Scrubbing marketing copy of robotic buzzwords before publication

소개

주요 기능

Real-time scanning for corporate buzzwords and vague intensifiers
Automated replacement suggestions for action-oriented language
67 GitHub stars
Contextual frequency monitoring for overused 'AI' vocabulary
Authenticity scoring and validation via specialized writing agents
Structural analysis to detect overused patterns like triple-item lists

사용 사례

Refining AI-generated technical documentation for a natural developer voice
Validating external communications to ensure high authenticity scores
Scrubbing marketing copy of robotic buzzwords before publication