Part of Write LinkedIn Posts and Comments in Your Voice
Content Blueprint
Safety checkedAudit Drafts and Strip AI Tells
Review drafts for algorithm compliance and AI fingerprints, then humanize text to match your natural voice.
What problem does this solve?
Audits your LinkedIn drafts against 2026 algorithm rules and AI-detection patterns, then strips AI tells (em dashes, AI vocabulary, emoji density, rule-of-three lists) to match your voice. It bundles five tools: humanizer (main rewrite), AI emoji scorer, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), and a rules-explainer for defending stylistic choices.
How does it work?
Once installed, paste a draft or ask Claude to audit text. 1. The skill scans for AI tells and algorithm red flags. 2. It humanizes the text (removes em dashes, replaces AI vocabulary, adjusts emoji density, flattens lists). 3. It shows you the before/after with a checklist of what changed. 4. You can ask it to defend a specific rule choice or run AI detectors in parallel for a multi-score comparison. Output: a draft ready to publish, with transparency on every humanization rule applied.
Included Skills
No skills in this group
What's required to run this?
Humanizer sub-tools require Python 3.8+ and optional external detector integrations for multi-detector testing; detectors are called via their public APIs with no setup beyond passing your draft text. Rules are applied deterministically based on LinkedIn 2026 algorithm heuristics (360Brew) and voice rules in references/voice-rules.md.
Key Features
Humanizer (main)
Rewrites text to remove em dashes, AI vocabulary (leverage, fundamentally, streamline, harness, delve, unlock, foster), rule-of-three lists, and other AI fingerprints.
AI emoji scorer
Measures emoji density against natural voice patterns and flags over-reliance on emoji as an AI tell.
Multi-detector tester
Runs your draft through 5 AI detectors in parallel (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks) and compares results.
Rules explainer
Explains why a stylistic choice (capitalization, punctuation, word choice) was flagged or changed, so you can defend it to stakeholders.
Post audit (sub-tool)
Checks your draft against 2026 algorithm rules and LinkedIn-specific patterns before publishing.
About This Blueprint
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