Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/sergebulaev/linkedin-skills

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

LinkedIn Marketing Skills for Claude Code and Codex

Name: linkedin-skills
Author: sergebulaev

Claude skills for LinkedIn. 11 Claude Code and Codex skills that write LinkedIn posts, comments, and replies in your voice. They draft content, strip AI tells, and wait for your approval before anything gets published. No coding required.

On another platform too? The same team ships matching marketing skill bundles for X (Twitter) · Instagram · YouTube · TikTok · Threads · Facebook. Same voice engine, same approve-before-publish flow.

Install

Pick whichever way you use Claude Code or Codex:

Codex CLI

codex plugin marketplace add sergebulaev/linkedin-skills
codex plugin add linkedin-skills@linkedin-skills

To test a local clone before publishing changes:

git clone https://github.com/sergebulaev/linkedin-skills.git
cd linkedin-skills
codex plugin marketplace add .
codex plugin add linkedin-skills@linkedin-skills

claude.ai (web)

Open https://claude.ai/code
Go to Skills in the sidebar
Click Add from GitHub
Paste: sergebulaev/linkedin-skills
Done. The skills activate automatically when you ask about LinkedIn.

Claude Desktop (Mac / Windows)

Open Claude Desktop
Click Customize
Click the + next to Personal plugins → Create plugin → Add marketplace
Choose Add from a repository and paste: sergebulaev/linkedin-skills
Install the plugin
Done. Start a new conversation and ask Claude to write a LinkedIn post.

OpenClaw

Open your OpenClaw working directory
Clone the skills into it:

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

In OpenClaw settings, add this to your system prompt:

You have LinkedIn marketing skills in ./linkedin-skills/.
For any LinkedIn task, read the relevant skills/*/SKILL.md first.
Use lib/url_parser.py for URL parsing,
    lib/apify_client.py for reading posts / comments / engagers,
    lib/publora_client.py for publishing actions.

Done. Ask OpenClaw to write a LinkedIn post or comment.

Claude Code (CLI / VS Code / JetBrains)

/plugin marketplace add sergebulaev/linkedin-skills
/plugin install linkedin-skills@linkedin-skills

Or clone the repo and open it as your working directory:

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

Hermes Agent

Hermes Agent (Nous Research) follows the agentskills.io open standard and loads skills/*/SKILL.md directly. Clone the bundle into your Hermes skills folder:

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

Coming from OpenClaw? hermes claw migrate imports these skills automatically. Then call /<skill-name> from any of your Hermes chat surfaces.

Any agent (skills CLI)

One command that works across Claude Code, Codex, Cursor, and any other agent that reads SKILL.md files:

npx skills add sergebulaev/linkedin-skills

Found this useful? Star the repo. Curated Claude Code and Codex directories rank and gate by star count, so a star is what makes these skills findable for the next person. It is the only thing we ask. No signup, no email.

What you can do

Once installed, just ask Claude Code or Codex for help with LinkedIn. The right skill activates automatically.

Write a post:

"Write me a LinkedIn post about why AI agencies are replacing traditional ones. Make it viral."

Comment on someone's post:

"Comment on this post: https://linkedin.com/posts/... — I want to add a thoughtful take."

Check a draft before publishing:

"Audit this post draft for AI tells and algorithm issues: [paste your text]"

Reverse-engineer a viral post:

"What hook formula does this post use? https://linkedin.com/posts/..."

Plan your week:

"Create a 7-day LinkedIn content plan. I'm a B2B SaaS founder targeting VPs of Marketing."

Rewrite your profile:

"Optimize my LinkedIn profile for inbound leads: https://linkedin.com/in/yourname"

Remove AI tells from any text:

"Humanize this text: [paste AI-generated draft]"

Every skill shows you a draft first and waits for your OK before doing anything. Nothing gets posted without your approval.

The 11 skills

Skill What it does

Post Writer Drafts viral-ready posts using 20 proven 2026 hook formulas (anaphora, R.I.P. obituary, year-over-year pivot, curiosity gap, emotional cold-open, controlled A/B, false-binary, and 13 more) plus a founders-edition angle library, picked by engagement goal

Comment Drafter Drafts a comment on any LinkedIn post from its URL

Reply Handler Drafts a reply to any comment, correctly handling LinkedIn's 2-level thread flattening

Post Audit Checks your draft against 2026 algorithm rules and AI-detection patterns before you publish

Humanizer Strips em dashes, AI vocabulary ("leverage", "delve", "harness"), rule-of-three lists, and other AI fingerprints. Bundles three sub-tools: AI-emoji density scorer, multi-detector spread tester (GPTZero, Originality.ai, ZeroGPT, Sapling, Copyleaks), and a rule-explainer reference for defending stylistic choices.

Hook Extractor Reverse-engineers the hook formula from any viral post. Returns a blank template you can fill with your own topic

Content Planner Creates a 7-day plan with daily post topics, formats, hooks, posting times, and comment targets

Engagement Monitor Two read-side workflows: (1) tracks your comment threads for author replies and drafts follow-ups in the 6-24h window; (2) pulls likers and commenters on any post and groups them by ICP fit (peer / aspirational / prospect).

Profile Optimizer Rewrites your headline, About section, Featured section, and Experience for 2026 conversion patterns

Employee Advocacy Plans a team LinkedIn program: 14-day launch, posting cadence, brand governance, ROI tracking

Repurposer Turns content from another platform (tweet, thread, YouTube video, blog, newsletter) into a native LinkedIn post: re-hooks for the fold, expands to the 900-1300 char sweet spot, moves links to the first comment, runs the humanizer

Built for founders

If you are a founder, the bundle ships a dedicated founder layer. Your real constraint is rarely reach. It is a small number of high-stakes readers: the next investor, the next hire, the design partner who becomes a case study. The founder layer optimizes for trust with that narrow audience instead of impressions.

10 founder angles (references/founder-topics.md) as fill-in templates: reprice the category, content-to-pipeline, audience of one, the scarce-shots math, the unglamorous bet, the limit of delegation, designed serendipity, the evasive-sentence test, the delegation line, the learning gate. Each maps to an engagement goal and a hook formula.
4 structural hook formulas (F17-F20) that shape a post's logic: controlled A/B anecdote, false-binary dissolve, anecdote-meets-evidence bridge, diverging-curves close.
A founders-edition content plan (Conviction / Building in public / The math / Proof) in the Content Planner.

Just tell the Post Writer you are a founder, or ask the Content Planner for a "founder plan," and the skills reach for these first.

Optional: read LinkedIn data with Apify

Four of the skills (Comment Drafter, Reply Handler, Hook Extractor, Engagement Monitor) can read post bodies, comment threads, your own recent comments, and the people who liked or commented on any post. Without an Apify token they fall back to asking you to paste the relevant text. With one, they fetch automatically.

Apify free tier ships with $5/month of credit, which goes a long way at $1-$5 per 1,000 results. The skills use four no-cookies actors:

Use case Actor Cost

Post body by URL supreme_coder/linkedin-post $1 / 1,000

Comments + replies on a post apimaestro/linkedin-post-comments-replies-engagements-scraper-no-cookies $5 / 1,000

Your own recent comments apimaestro/linkedin-profile-comments $5 / 1,000

Likers + commenters on any post scraping_solutions/linkedin-posts-engagers-likers-and-commenters-no-cookies $5 / 1,000

Setup: drop APIFY_TOKEN=apify_api_... into your .env. The thin client at lib/apify_client.py exposes fetch_post, fetch_post_comments, fetch_user_recent_comments, and fetch_post_engagers.

A typical creator running daily comment ops + a weekly engager-analytics sweep stays under $2/month, well inside the free tier.

Optional: auto-post with Publora

By default, skills d

Frequently Asked Questions

What is linkedin-skills?⌄

linkedin-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by sergebulaev. Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Content engineering by Creative Content Crafts. MIT. It has 582 GitHub stars.

Is linkedin-skills safe to use?⌄

Yes. linkedin-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install linkedin-skills?⌄

Clone the repository with "git clone https://github.com/sergebulaev/linkedin-skills" and add it to your Claude Code skills directory (see the Installation section above). linkedin-skills ships a SKILL.md manifest, so compatible agents can discover and load it automatically.

What programming language is linkedin-skills written in?⌄

linkedin-skills is primarily written in Python. It is open-source under sergebulaev on GitHub, so you can review or fork the full source.

Are there alternatives to linkedin-skills?⌄

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh linkedin-skills against similar tools.

linkedin-skills