Linkedin Post Writer logo

Linkedin Post Writer

Organization
social-media-skills
linkedin-post-writer

Use to write a LinkedIn post — professional, thought-leadership, or founder/personal-brand content optimized for LinkedIn's specific mechanics (dwell time, early comments, the "see more" hook). Run when the user says "write a LinkedIn post," "LinkedIn," "post this on LinkedIn," "thought leadership post," "founder post," or wants professional/B2B social content. Reads brand-profile and voice first, uses hook-writer for the opening line that must win the "see more" expand, formats for dwell, drives genuine comments, and routes links to the first comment to protect reach. Avoids LinkedIn cringe (broetry, engagement bait). This is the single-post craft: to "grow on LinkedIn" or set the account strategy use linkedin-growth; for company-page strategy use linkedin-company-pages; for general captions use caption-writer; for X threads use thread-writer; for the carousel slides use carousel-writer.

Overview

Publishersocial-media-skills
Repositoryskills
Skill namelinkedin-post-writer
Stars
215
Forks
44
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Linkedin Post Writer 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/social-media-skills/skills/tree/main/skills/linkedin-post-writer
  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/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/linkedin-post-writer .claude/skills/linkedin-post-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Post Writer 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 Post Writer 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 Post Writer 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.

LinkedIn Post Writer

LinkedIn is its own game, and posts written like generic social captions underperform on it. The algorithm rewards two things above all — dwell time (how long people actually spend on the post) and early, meaningful comments — and the format has its own rules: the "…see more" hook, whitespace that makes long posts readable, links that suppress reach, and personal voices that beat company pages.

Two commitments shape every post here:

  1. Earn the read, then earn the comment. Write the opening to win the "…see more" tap, format the body so people actually read it (dwell), and close in a way that invites a real comment.
  2. Substance over LinkedIn theatre. The platform is full of broetry and "Agree? 👇" engagement bait — which both the algorithm and credible professionals increasingly punish. This skill does what genuinely works and refuses the cringe. See references/avoiding-cringe.md.

Step 0 — Read the foundation first

Load brand-profile.md and voice.md (and audience.md for the professional segment). The LinkedIn register is usually a notch more authority-leaning than other platforms, but still human and first-person. Carry guardrails and any compliance rules.

Step 1 — Lock the idea, goal, and who's posting

  • One idea — the single point, story, or insight.
  • Goal — authority, leads/warming, comments, or reach (shapes the close).
  • Person vs company — personal/founder profiles consistently out-reach company pages and read as more trustworthy. Recommend a personal voice for thought leadership; reserve the company page for announcements/brand. (See references/linkedin-mechanics.md; the page's own strategy lives in linkedin-company-pages.)

Step 2 — Write the "see more" hook

Use hook-writer. The first line (~140 chars on mobile before "…see more") must earn the expand — that tap is the first dwell signal, and without it the post is invisible. Front-load tension; no warm-up, no "I'm excited to announce."

Step 3 — Structure for dwell

Pick a LinkedIn format (personal-story→lesson, contrarian/POV, how-to, case study, observation — see references/post-formats.md), then format for readability: short sentences, one-to-two-line paragraphs, generous whitespace, a clear build. A wall of text kills dwell. (Whitespace as genuine readability — not the broetry gimmick of one dramatic fragment per line.)

Step 4 — Write the body

Deliver the value or story the hook promised, in the brand voice at a LinkedIn register. Long is fine if it earns the read (limit ~3,000 chars) — every line must pull to the next. Don't pad; don't bait-and-switch the hook.

Step 5 — Close for comments + one soft CTA

End with a genuine discussion question the audience can't help answering — relevant to their work, easy but interesting, not "Agree?". Early comments drive reach, and the author replying to them boosts it further. Add at most one soft CTA (follow for more, a resource) — LinkedIn isn't the place to hard-sell.

Step 6 — Mechanics

  • Links: external links in the body suppress reach. Put the link in the first comment and say "link in comments," or post link-free. Native content wins. See references/linkedin-mechanics.md.
  • Hashtags: 3–5 relevant, at the end.
  • Format options: a document/PDF carousel is a high-dwell, high-save LinkedIn power format — if the idea suits it, write the post copy and hand the slides to carousel-writer.
  • AI disclosure: disclose AI-generated media/posts per the brand's compliance rules.

Deliver options, recommend one

Give 2–3 distinct posts (different angles or formats), then recommend one with a one-line reason tied to the goal.

Quality bar — self-check

  • Does the first line win the "…see more" tap within the cutoff?
  • Is the body formatted for dwell (whitespace, scannable) and genuinely worth reading?
  • Does it sound like them at a LinkedIn register (voice + "never" list)?
  • Does it close on a real question that invites comments, with one soft CTA?
  • Are links routed to comments, hashtags sensible, format native?
  • Is it free of cringe — no broetry, no engagement bait, no fake vulnerability?
  • Would you be comfortable if a respected peer read it?

Edge cases & pushback

  • User asks for engagement bait ("write a 'comment YES' post," broetry, a fake-emotional story) → decline that approach and offer the genuine alternative that actually performs and protects credibility. (references/avoiding-cringe.md.)
  • Idea is really a one-liner → a short, sharp LinkedIn post or a poll can beat a forced essay; say so.
  • Company announcement → can run from the page, but suggest a personal founder/employee post alongside for reach.
  • Regulated/sensitive → carry compliance guardrails; no unverifiable claims; required disclaimers.
  • Hard-sell request → reframe toward value-first; LinkedIn punishes overt selling.
  • No real story/insight → don't manufacture a fake parable; sharpen the actual point or pick a format that fits what's true.

Related skills

  • brand-profile, voice-builder, audience-research — voice, register, professional audience.
  • hook-writer — the "see more" opening line.
  • caption-writer — general captions; thread-writer — X threads; carousel-writer — the slides for a document-carousel post.
  • linkedin-growth — the personal-profile growth system (cadence, commenting, the golden hour); linkedin-company-pages — the company-page strategy. This skill stays on the single post.
  • scheduling-and-queue — schedule the finished post.

References

  • references/linkedin-mechanics.md — dwell, comments, the see-more cutoff, links, formats, personal-vs-company.
  • references/post-formats.md — LinkedIn post structures and the comment-driven close.
  • references/avoiding-cringe.md — what NOT to do (broetry, engagement bait) and what works instead.
  • references/examples.md — worked LinkedIn posts, formatted for dwell, vs a cringe version.

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 Post Writer AI skill do?

Use to write a LinkedIn post — professional, thought-leadership, or founder/personal-brand content optimized for LinkedIn's specific mechanics (dwell time, early comments, the "see more" hook). Run when the user says "write a LinkedIn post," "LinkedIn," "post this on LinkedIn," "thought leadership post," "founder post," or wants professional/B2B social content. Reads brand-profile and voice first, uses hook-writer for the opening line that must win the "see more" expand, formats for dwell, drives genuine comments, and routes links to the first comment to protect reach. Avoids LinkedIn cring...

Why use Linkedin Post Writer on TypingMind?

Because you install it once and use it with any model. Linkedin Post Writer 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 Post Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/linkedin-post-writer. 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 Post Writer?

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 Post Writer?

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

Is the Linkedin Post Writer AI skill free?

Yes. It is published on GitHub by social-media-skills 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.

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