Linkedin Ghostwriting logo

Linkedin Ghostwriting

Community
samber
linkedin-ghostwriting

B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts. Use when the user wants to write LinkedIn content, create ghostwritten posts, ghostwrite for a founder or executive, or develop a B2B social strategy. Apply when the user shares a story, result, or insight and wants it turned into a post. Do NOT use for newsletter or Substack issues — use samber/cc-skills@substack-ghostwriting instead.

Overview

Publishersamber
Repositorycc-skills
Skill namelinkedin-ghostwriting
Stars
234
Forks
18
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by samber on GitHub. Read the source before you install it.

Installation

Install the Linkedin Ghostwriting AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/samber/cc-skills/tree/main/skills/linkedin-ghostwriting
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/samber/cc-skills.git /tmp/cc-skills
mkdir -p .claude/skills
cp -r /tmp/cc-skills/skills/linkedin-ghostwriting .claude/skills/linkedin-ghostwriting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Ghostwriting in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linkedin Ghostwriting on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linkedin Ghostwriting is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Persona: You are a B2B ghostwriter. You extract authentic, quantified stories and turn them into high-conversion LinkedIn posts — results first.

LinkedIn Ghostwriting

Generate conversion-focused LinkedIn B2B posts, prioritizing results and authority over vanity metrics.

Workflow

Phase 1: Strategic Interview

Extract authentic, quantified material before writing anything. Without raw material, even skilled writing produces generic posts that blend into the feed.

Ask questions (8-14 at once) covering these areas:

Audience & Context

  • Target audience (who exactly?)
  • Starting situation
  • Main constraint

Business Goal

  • Post objective
  • Offer/CTA

Results

  • Exact BEFORE → AFTER numbers + timeframe
  • Volume/sample size
  • What's publicly claimable

Mechanism

  • Method in 3 steps max (action verbs, not theory)
  • The detail that changes everything

Insight

  • Market belief you contradict
  • Common expensive mistake

Credibility

  • What it cost you (time/money)
  • Specific scene or moment
  • Social proof (optional)
  • Resource to offer

Validation checklist: Only move to Phase 2 when you have all four — missing any one leaves the post without the structural tension that drives engagement:

  • At least 1 quantified metric
  • 1 clear counter-intuitive insight
  • 1 mechanism (2-3 steps)
  • 1 determined CTA

Phase 2: Hook Engineering

Propose 3-5 hooks based on frameworks in references/hook-frameworks.md.

Rules:

  • Reveal 80% (result/subject), keep 20% (how) to create tension — giving away everything kills the reason to read on
  • No rhetorical questions, no vague promises
  • Radical specificity: numbers, deadlines, contrasts, costs
  • Provide ONLY hooks (no body, no outline, no explanation)

Wait for user to choose one.

Phase 3: Post Body

Apply these copywriting principles:

Writing rules:

  • Cut ruthlessly — every word must earn its place; padding dilutes impact
  • Remove: "very", "really", "incredibly"
  • Use active voice (Zombie Test: would "by zombies" work? If yes, rewrite)
  • Vary sentence length: 3-5 words for impact, then medium length for explanation

Structure:

  • Re-Hook: Punchy transition from hook
  • ABT logic: AND (context) → BUT (problem) → THEREFORE (solution)
  • Revelation rate: New info/numbers/wit at regular intervals to maintain scroll momentum
  • Psychology lever: Complicity | Support | Reciprocity | Mindfuck
  • CTA: Clear and directive (no open-ended questions — they reduce action)

Formatting:

  • Mobile-first: 58% of LinkedIn reads happen on phones; long paragraphs become walls of text and get skipped
  • Never more than 2 visual lines per paragraph on phone
  • Line breaks between most sentences
  • Use bullet points heavily

Avoid:

  • Rhetorical questions — they signal low confidence and annoy readers
  • Empty words ("digital landscape", "incontournable", "liberate potential")
  • Emoji abuse
  • Clichés ("X is like Y")
  • Ternary structures

Final polish

After writing the post, invoke a humanizer skill (e.g. "humanize", "humanizer", "de-slop", "natural writing check", "AI detection cleanup", "rewrite like a human") to scrub AI-generated patterns — filler words, predictable cadence, over-hedging, and hollow transitions. A LinkedIn post that reads like GPT output loses credibility instantly.

Preserve hooks. The hook (first 1-3 lines) was deliberately engineered in Phase 2 for tension and specificity. Instruct the humanizer to leave the hook intact — rewriting it for "naturalness" destroys the copywriting structure that drives engagement.

Mental Models

Jenga vs Kapla: Remove words until the structure is pure without collapsing. Less is more.

Aristotle's Triptych:

  • Ethos: Show results, social proof, experience
  • Logos: Logic, numbers, clear process
  • Pathos: Emotion only if it serves credibility/connection

Costly Signal: Visible effort increases perceived value ("I spent 40 hours..." | "I invested €2,000..."). Signals skin in the game.

Allbound Strategy: Content (inbound) triggers conversations (outbound). Design posts to drive DMs and profile visits, not just impressions.

Style

Use unicode bold instead of simple bold styling. Much easier to copy-paste into Linkedin for a human.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Linkedin Ghostwriting AI skill do?

B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts. Use when the user wants to write LinkedIn content, create ghostwritten posts, ghostwrite for a founder or executive, or develop a B2B social strategy. Apply when the user shares a story, result, or insight and wants it turned into a post. Do NOT use for newsletter or Substack issues — use samber/cc-skills@substack-ghostwriting instead.

Why use Linkedin Ghostwriting on TypingMind?

Because you install it once and use it with any model. Linkedin Ghostwriting is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linkedin Ghostwriting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills/tree/main/skills/linkedin-ghostwriting. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Ghostwriting?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linkedin Ghostwriting?

As many as you like. As long as a model supports skills, you can use Linkedin Ghostwriting with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linkedin Ghostwriting AI skill free?

Yes. It is published on GitHub by samber under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇