LinkedIn / AI Systems

Claude Code for
LinkedIn Content OS.

Turn one source asset into posts, visuals, lead magnets, DMs, and a feedback loop that improves every week.

By Hruthik Varma May 2026 8 min read

Claude Code should not just write one LinkedIn post. The leverage comes from building a content operating system around it: persistent context, repeatable skills, visual briefs, lead magnet generation, DM handoff, and a memory loop that compounds after every post.

Download the lead magnetGet the full CONTENT build file here: Download the Claude Code for LinkedIn Content OS PDF from Google Drive.

Use this guide to understand the system, set up the folder, run the master prompt, and turn comments into qualified conversations without sounding automated.

Section 01What the Content OS is

OperationTurn one real input into a full LinkedIn content pipeline instead of one disposable draft.

Most AI content fails because the model is asked to invent context from nothing. The Content OS fixes that by separating the workflow into memory, planning, creation, distribution, and learning. Claude Code reads the right files, runs the right skill, creates the assets, and saves what worked back into memory.

Pro tipThe source asset matters. Use a sales call, Loom, customer proof, founder rant, support ticket, or product note. Blank-page prompting creates blank-page content.

Section 02The five-layer workflow

The system routes every idea through five layers:

  • Memory: voice, ICP, offers, proof bank, content pillars, banned phrases, and winning hooks.
  • Planning: audience, angle, hook, claim, CTA, asset list, and comment keyword.
  • Creation: LinkedIn posts, visual briefs, PDF outlines, DM sequences, and newsletter angles.
  • Distribution: schedule, first comment, replies, keyword delivery, CRM or Slack handoff.
  • Learning: saves, comments, objections, DMs, booked calls, and lessons stored for the next cycle.

RuleEvery output should either publish, sell, or improve memory. If it does none of those, it is content theater.

Section 03Folder structure

Install the folder once. Then run every content week from inside it.

linkedin-content-os/ CLAUDE.md context/ voice.md icp-offer.md proof-bank.md content-pillars.md banned-phrases.md skills/ linkedin-campaign/Skill.md visual-brief/Skill.md lead-magnet/Skill.md dm-followup/Skill.md templates/ post.md gif-brief.md pdf-outline.md dm-sequence.md memory/ winning-hooks.md objections.md metrics-log.csv
What to fill firstStart with voice.md, icp-offer.md, and proof-bank.md. If those three files are weak, every post will sound generic.

Section 04Master campaign prompt

Use this when you have one strong source asset and want a week of content from it.

You are operating inside my LinkedIn Content OS. Read these before writing: - context/voice.md - context/icp-offer.md - context/proof-bank.md - context/content-pillars.md - memory/winning-hooks.md Task: Turn the source material below into a 7-day LinkedIn campaign. Source material: [paste call transcript, founder note, product notes, customer proof] Output exactly: 1. 10 hook options ranked by save/comment potential 2. 7 LinkedIn posts, each with hook, body, CTA, and first comment 3. 1 dense visual/GIF brief with layout, logos, labels, and motion paths 4. 1 lead magnet PDF outline tied to a comment keyword 5. 1 DM delivery sequence 6. 1 QA checklist for claims, clarity, proof, and tone Rules: - Write in my voice, not generic AI voice. - Use specific examples, not abstract advice. - No fake numbers, fake case studies, or unsupported claims. - Make every post useful even if the reader never books a call. - Ask questions before executing if context is missing.

Section 05Lead magnet and DM sequence

The comment keyword for this post is CONTENT. The promise is the build file: folder structure, master prompt, campaign engine, QA checklist, and DM sequence.

Hey [Name] - appreciate you commenting CONTENT. Here is the Claude Code for LinkedIn Content OS PDF: https://drive.google.com/file/d/1SABK3ocXtypk9oCrEzcLWVa5yC9umSvz/view?usp=sharing The fastest way to use it: 1. Copy the folder structure. 2. Fill voice.md, icp-offer.md, and proof-bank.md. 3. Run the master campaign prompt on one real call, transcript, or product note. Curious - are you trying to build this for your own content, or for client/company content?
Pro tipDo not pitch in the first DM. Deliver the resource, give the fastest next step, then ask a simple context question.

Section 06QA and feedback loop

Before posting, check the five failure points:

  • Hook: specific pain, real curiosity, no generic AI hype.
  • Value: the reader can use one idea immediately.
  • Proof: claims are supported and examples are concrete.
  • Visual: readable on mobile, clean labels, no overlapping paths.
  • Conversion: keyword, PDF promise, and DM sequence match the post.

If a post gets saves but no comments, sharpen the opinion. If it gets comments but no leads, sharpen the offer and lead magnet. If it gets neither, rebuild the hook.

Want this system built for your team?

Book a free 30-minute strategy call. We'll map your current content workflow into a Claude Code operating system with context files, skills, lead magnets, DMs, and a feedback loop.

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