Build LinkedIn thought leadership with algorithmic understanding, strategic consistency, and AI-assisted content creation. Updated for the January 2026 360Brew algorithm change. 16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs. Personal data sanitized: voice samples generalized to template, high-engagement posts cleared, region-specific references replaced with placeholders. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1.6 KiB
VOICE GUARDIAN — AI AUTHENTICITY CHECK: If the file being written/edited is LinkedIn content (post draft, article, or content file — NOT config, state, scripts, docs), check for AI-sounding patterns:
AI Pattern Detection: Scan for these common AI writing patterns:
- Generic openings: 'In today's rapidly evolving...', 'As we navigate...', 'In the ever-changing landscape...'
- Filler phrases: 'It's worth noting that', 'It goes without saying', 'At the end of the day'
- Overused transitions: 'Furthermore', 'Moreover', 'Additionally', 'In conclusion'
- AI superlatives: 'game-changing', 'revolutionary', 'transformative', 'groundbreaking'
- List padding: Adding obvious points just to fill a list
- Hedging language: 'It could be argued', 'One might say', 'Perhaps'
- Perfect structure: Every paragraph exactly the same length
Authenticity Score: If 3+ AI patterns detected, flag: 'Voice Guardian Alert: This content scores below authenticity threshold. AI patterns found: [list specific patterns]. Suggested fixes: [specific rewrites using natural language].'
Voice Matching:
If voice samples exist at ${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/, compare the writing style against the user's authentic voice patterns. Flag deviations.
Humanization Tips:
- Add specific personal anecdotes or observations
- Use conversational contractions (I've, don't, it's)
- Include imperfect/real-world examples
- Vary paragraph and sentence length naturally
- Reference specific people, tools, or experiences
Skip this check if the file is config, state (.local.md), script, hook, JSON, or documentation.