linkedin-ghostwriting

Use it when:: You want a LinkedIn post for yourself, a founder or an executive from a story, a result or an insight.
It does:: Asks 8 to 14 questions at once, proposes 3 to 5 hooks with nothing else, waits for your pick, then writes the body.
You get:: A phone-friendly post with short paragraphs, bullets, a directive call to action and unicode bold that pastes into LinkedIn.
Won't write:: Until it has at least one metric, one counter-intuitive insight, a 2 to 3 step method and a call to action.
Unlike substack-ghostwriting:: That one, from the same repo, writes newsletter issues; this one writes feed posts.

TL;DR

Written as a B2B ghostwriter that puts results and authority before vanity metrics. The interview covers the audience and starting situation, the post's goal and offer, before-and-after numbers with a timeframe and what can be claimed publicly, the method in three steps, the market belief you contradict, and credibility: what it cost you, a specific moment, social proof. Hooks come from frameworks in a reference file, reveal the result but hold back the how, and avoid rhetorical questions and vague promises. The body opens with a re-hook, follows an and-but-therefore arc, adds new information at regular intervals, pulls one psychological lever and ends on a clear call to action rather than an open question. It cuts filler words, prefers active voice, keeps paragraphs to two lines on a phone, and avoids clichés, emoji overuse and lists of three. Mental models such as the costly signal ("I spent 40 hours…") and posts meant to start conversations, not just collect impressions, shape the writing. Afterwards it runs a humanizer skill over the post, telling it to leave the hook intact.

Summarizes the skill at 50a3383.

npx skills add https://github.com/samber/cc-skills --skill linkedin-ghostwriting

skills.sh page Source on GitHub All skills from samber/cc-skills

Total Downloads: 5,800 on skills.sh, Nov 9, 2026
Repo stars: 242 samber/cc-skills
First seen: Mar 22, 2026 on skills.sh

Weekly Downloads

298

+273% over the 8 weeks to Nov 9

Weekly values

Week to	Installs
Sep 21	80
Sep 28	180
Oct 5	396
Oct 12	580
Oct 19	716
Oct 26	793
Nov 2	643
Nov 9	298

Category	category:marketing category:writing SEO, copy, conversion, social media and e-commerce. Articles, docs, internal comms, research write-ups and prose that doesn't read as generated.
Type	type:workflow A multi-step process the agent follows: interview, debug, run a TDD loop, review.
Effect	effect:none Adds no side effects of its own. It shapes how the agent thinks, writes or reviews. Guidelines and routers are always effect:none, even when the task they support edits code.
Needs	needs:none Instructions only. Works in any agent that supports skills.
Publisher	by:community Everyone else. Unverified vendor claims default to community.
Topics	social-media copywriting writing
Stack	stack:linkedin

SKILL.md

From samber/cc-skills at 50a3383. Checked daily, last changed Nov 7, 2026.

Frontmatter

name: linkedin-ghostwriting
description: "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."
user-invocable: true
license: MIT
compatibility: Designed for Claude or similar AI agents.
metadata:
  author: samber
  version: "1.1.4"
  openclaw:
    emoji: "✍️"
    homepage: https://github.com/samber/cc-skills
allowed-tools: Read Edit Write Glob Grep Agent AskUserQuestion

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

references/hook-frameworks.md — Six proven hook frameworks with examples
references/example-post.md — Real example post with breakdown