LinkedIn Humanizer

LinkedIn Humanizer is an AI Engineering skill for Claude Code, published by sergebulaev in linkedin-skills.

589 stars91 forkson sergebulaev/linkedin-skillsAdded 2026/08/25+4% in starsRepository updated 2026/08/22

agent-skillagent-skillsai-agentsai-contentai-marketinganthropicawesome-claudeclaude-codeclaude-skillscontent-creationcontent-engineeringlinkedinlinkedin-automationlinkedin-engineeringllm-toolsopenclaw-skillpersonal-brandingprompt-engineeringskill-mdsocial-media-automation

Install in seconds

Install LinkedIn Humanizer

Copy LinkedIn Humanizer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-humanizer ~/.claude/skills/linkedin-humanizer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/sergebulaev/linkedin-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/linkedin-humanizer/SKILL.md in sergebulaev/linkedin-skills
Installs to: ~/.claude/skills/linkedin-humanizer
Collection: One of 12 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What LinkedIn Humanizer does

LinkedIn Humanizer rewrites drafts to remove AI tells or audits finished posts against a LinkedIn heuristic checklist. It can also build a reusable voice profile from your posts so other writing tasks match your tone.

LinkedIn Humanizer is cataloged under AI Engineering on DirSkills. LinkedIn Humanizer comes from a repository tagged agent-skill, agent-skills, ai-agents, ai-content and ai-marketing.

Documentation

README

Excerpt

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:

Forensic rules catch real AI signals nobody else produces. Always on.
Strict rules catch corporate-speak that's bad style regardless of who wrote it. On by default.
Aesthetic rules catch patterns that AI uses but humans also use legitimately (em dashes, rule of three, "robust"). Off by default. Opt in if you want maximum scrub.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LinkedIn Humanizer

What else does sergebulaev publish alongside LinkedIn Humanizer?
LinkedIn Humanizer is one of 12 skills that DirSkills catalogs from sergebulaev/linkedin-skills, the repository it ships in. Its siblings there include LinkedIn Comment Drafter, LinkedIn Content Planner and LinkedIn Employee Advocacy. Each one is a separate skill with its own page in this directory, installs the same way LinkedIn Humanizer does, and is maintained by sergebulaev in that same repository. The rest of the collection is listed on the sergebulaev/linkedin-skills page.
How does LinkedIn Humanizer compare to other AI Engineering skills?
LinkedIn Humanizer ranks #1971 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LinkedIn Humanizer against them. Open each page to compare what they document and how they install.