linkedin-humanizer
Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Also `--mode profile` builds a reusable Voice and Brand Profile from a few of the user's real posts, so every writing skill drafts in their voice. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on "humanize", "de-AI", "revie
Profile →npx skills add sergebulaev/linkedin-skills --skill linkedin-humanizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LinkedIn Humanizer V2 Rewrites any text to remove AI tells. Based on Wikipedia's "Signs of AI writing" taxonomy plus 2026 LinkedIn-specific patterns. **V2 (2026-04-27):** rules now split into 3 tiers so you can pick which signals you trust. ## What changed in V2 The previous version applied every rule equally. We learned that some rules catch real AI output and some catch good human writing. So:
What does the linkedin-humanizer skill do?
Scrub AI tells from any text draft OR audit a finished post against the 2026 algorithm heuristic checklist. Tier-based rewriter (forensic / strict / aesthetic / all) plus `--mode audit` for detection-only pass-fail review covering length, hook, CTA, format penalties, AI vocab. Also `--mode profile` builds a reusable Voice and Brand Profile from a few of the user's real posts, so every writing skill drafts in their voice. Sub-tools: emoji-pattern detector, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), rule explainer. Triggers on "humanize", "de-AI", "revie
How do I install it?
Run `npx skills add sergebulaev/linkedin-skills --skill linkedin-humanizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sergebulaev/linkedin-skills, a repository with 357 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.