Agent skill

Linkedin Ghostwriting

by samber in samber/cc-skills

B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts.

MITAuto-check passedWriting & Content

Install Linkedin Ghostwriting

skills CLI
$ npx skills add samber/cc-skills --skill linkedin-ghostwriting -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install samber/cc-skills linkedin-ghostwriting --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/samber/cc-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-ghostwriting .claude/skills/linkedin-ghostwriting && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkedin-ghostwriting
GitHub stars
228
Token cost
~1.3k tokens
SKILL.md length
574 words
Files
4 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts.

  • Works in 3 steps: Strategic Interview → Hook Engineering → Post Body
  • The user wants to write LinkedIn content
  • SKILL.md covers Workflow, Final polish, Mental Models and Style, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Linkedin Ghostwriting is an agent skill from samber/cc-skills. 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.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `evals/evals.json`, `references/example-post.md` and `references/hook-frameworks.md`). Compatibility notes: Designed for Claude or similar AI agents.

It sits in Writing & Content, covering Newsletters and Copywriting. It works with LinkedIn and Substack. The repository describes itself as: 🧑🎨 A collection of agentic skills that works. The licence is MIT.

When your agent uses it

  • The user wants to write LinkedIn content
  • Create ghostwritten posts
  • Ghostwrite for a founder
  • Develop a B2B social strategy

Example prompts

  • “/linkedin-ghostwriting”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude or similar AI agents.
  • Pre-approved tools (allowed-tools): Read, Edit, Write, Glob, Grep, Agent, AskUserQuestion

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Strategic Interview
  2. Hook Engineering
  3. Post Body

What it can do on your machine

Read from SKILL.md and the folder at commit 123cb15. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Edit
    • Write
    • Glob
    • Grep
    • Agent
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude or similar AI agents.

    From compatibility in the SKILL.md frontmatter.

Context cost

Linkedin Ghostwriting loads about 1.3k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 574 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~117
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from samber/cc-skills at commit 123cb15, republished under its MIT licence (© samber). 574 words, ~1,322 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-ghostwriting/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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.
allowed-tools
Read, Edit, Write, Glob, Grep, Agent, AskUserQuestion
compatibility
Designed for Claude or similar AI agents.
user-invocable
true
license
MIT
metadata.author
samber
metadata.version
1.1.4

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
Show full SKILL.md (189 more words)Show less

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

© samber, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/linkedin-ghostwriting of samber/cc-skills.

  • SKILL.md
  • evals/evals.json
  • references/example-post.md
  • references/hook-frameworks.md

Open the folder on GitHubat commit 123cb15

Compare with similar skills

Linkedin Ghostwriting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkedin Ghostwriting compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Ghostwriting this skillsamber/cc-skills228—~1.3kAutomated safety check: PassMIT
26 Thought Leadership Content Globalminhnv0807/ai-business-skills608—~4.7kAutomated safety check: PassMIT
Social Media Pro Maxcriptogus/agent-evolve-network288—~1.6kAutomated safety check: PassCustom licence
Content Trend Researcheralirezarezvani/claude-code-skill-factory8802 repos~2.1kAutomated safety check: PassMIT
Content Writer Agentmastra-ai/mastra29k—~1.3kAutomated safety check: PassCustom licence
Idea Extractoraiskilloftheweek/claude-ai-skill-of-the-week146—~1.5kAutomated safety check: PassNone

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Questions about Linkedin Ghostwriting

What does Linkedin Ghostwriting do?

B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts. Linkedin Ghostwriting is an agent skill from samber/cc-skills. B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts.

When should I use Linkedin Ghostwriting?

Linkedin Ghostwriting fits situations like: the user wants to write LinkedIn content; create ghostwritten posts; ghostwrite for a founder; develop a B2B social strategy.

How do I install Linkedin Ghostwriting in Claude Code?

Run `npx skills add samber/cc-skills --skill linkedin-ghostwriting -a claude-code`. Or copy the skill folder (skills/linkedin-ghostwriting in samber/cc-skills) into .claude/skills/linkedin-ghostwriting in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Ghostwriting in Codex?

Run `npx skills add samber/cc-skills --skill linkedin-ghostwriting -a codex`. Or copy the skill folder (skills/linkedin-ghostwriting in samber/cc-skills) into .agents/skills/linkedin-ghostwriting in your project. Codex loads it when a task matches its description.

Can I use Linkedin Ghostwriting in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add samber/cc-skills --skill linkedin-ghostwriting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-ghostwriting, .gemini/skills/linkedin-ghostwriting, .github/skills/linkedin-ghostwriting and .opencode/skills/linkedin-ghostwriting in your project.

What does Linkedin Ghostwriting need to run?

SKILL.md names no scripts, command-line tools or credentials: Linkedin Ghostwriting is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Write, Glob, Grep, Agent, AskUserQuestion. Compatibility (from SKILL.md): Designed for Claude or similar AI agents..

Does Linkedin Ghostwriting access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Linkedin Ghostwriting safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Linkedin Ghostwriting use?

Linkedin Ghostwriting is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Ghostwriting use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Linkedin Ghostwriting?

Skills that share tags, products or a category with Linkedin Ghostwriting: 26 Thought Leadership Content Global (minhnv0807/ai-business-skills, 608 stars), Social Media Pro Max (criptogus/agent-evolve-network, 288 stars), Content Trend Researcher (alirezarezvani/claude-code-skill-factory, 880 stars) and Content Writer Agent (mastra-ai/mastra, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Ghostwriting?

samber (a GitHub user) maintains it in samber/cc-skills, which has 228 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 1, 2026.

Source: samber/cc-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.