linkedin-ghostwriting — Claude Code skill: LinkedIn posts
A skill that walks the agent through an interview, hook selection and post assembly for LinkedIn, aimed at results rather than reach.
npx skills add samber/cc-skills --skill linkedin-ghostwriting -a claude-codeWhat linkedin-ghostwriting does
The skill turns a founder's or executive's story into a LinkedIn post. The agent opens with 8–14 questions at once: audience, post objective, before-and-after numbers, a mechanism in three steps, a market belief worth contradicting. It only moves to writing once four things are in hand — at least one quantified metric, a counter-intuitive insight, a 2–3 step mechanism and a determined CTA.
Next come three to five hooks to pick from, no rhetorical questions, with numbers and deadlines. The body follows context → problem → solution, with short paragraphs sized for a phone and line breaks between most sentences. At the end the skill calls a humanizer to scrub AI patterns, but tells it to leave the opening lines alone: the hook was engineered on purpose.
This one is built for B2B and conversion-focused posts. Newsletters and Substack issues are out of scope — the description points to samber/cc-skills@substack-ghostwriting for those. It runs in Claude, Codex, Cursor, GitHub Copilot, Gemini CLI and OpenCode; Claude.ai has no install path.
What it helps with
- turn a founder's raw story into a post
- pick a hook that fits one specific result
- pull before-and-after numbers out of a client
- fit the text to a LinkedIn mobile screen
- strip AI patterns from a finished post
Example prompts for the agent
- Here's a story about a client's revenue growth — turn it into a LinkedIn post
- Give me five hooks for a B2B case study post
- Write a conversion post with a DM-focused CTA at the end
How to install linkedin-ghostwriting
1Skills CLI (Vercel)
npx skills add samber/cc-skills --skill linkedin-ghostwriting -a claude-code2Manually: put the files in place
~/.claude/skills/linkedin-ghostwriting/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/linkedin-ghostwriting/
1Skills CLI (Vercel)
npx skills add samber/cc-skills --skill linkedin-ghostwriting -a codex2Manually: put the files in place
.agents/skills/linkedin-ghostwriting/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add samber/cc-skills --skill linkedin-ghostwriting -a cursor2Manually: put the files in place
.cursor/skills/linkedin-ghostwriting/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install samber/cc-skills linkedin-ghostwriting2Manually: put the files in place
.github/skills/linkedin-ghostwriting/SKILL.md1Skills CLI (Vercel)
npx skills add samber/cc-skills --skill linkedin-ghostwriting -a gemini-cli2Platform CLI
gemini skills install https://github.com/samber/cc-skills --path skills/linkedin-ghostwritingManually: put the files in place
.devin/skills/linkedin-ghostwriting/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add samber/cc-skills --skill linkedin-ghostwriting -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about linkedin-ghostwriting
How do I install linkedin-ghostwriting in Claude?
Run npx skills add samber/cc-skills --skill linkedin-ghostwriting -a claude-code. The skill lands at ~/.claude/skills/linkedin-ghostwriting/SKILL.md.
What does linkedin-ghostwriting do?
It interviews you for raw material, proposes hooks and assembles a conversion-focused LinkedIn post. It then runs the draft through a humanizer while keeping the hook intact.
How is it different from substack-ghostwriting?
It targets LinkedIn posts. For newsletters and Substack issues the description points to samber/cc-skills@substack-ghostwriting.
Source text
SKILL.md · MIT
---
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](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](references/hook-frameworks.md) — Six proven hook frameworks with examples
- [references/example-post.md](references/example-post.md) — Real example post with breakdown
© samber · MIT · samber/cc-skills