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skill Claude Code

linkedin-content — Claude skill: write and lint LinkedIn posts

Drafts, edits and lints LinkedIn posts: picks the format the material supports, flags mechanical faults, and splits a long source into standalone units.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin marketplace add alirezarezvani/claude-skills
/plugin install linkedin@claude-code-skills
Open on GitHub

What linkedin-content does

The skill covers the whole path of a post: format choice, draft, lint. Three Python scripts do the work. format_picker.py ranks nine native LinkedIn formats against your goal, material and available minutes, and refuses video with no camera and a poll with no real decision behind it. post_linter.py scores a draft 0-100 across mechanics, hook, integrity and accessibility, then names blocking findings: going over the 3,000-character cap, engagement bait, Unicode pseudo-bold that screen readers announce as mathematical symbols.

repurpose_splitter.py cuts an article, talk or transcript into standalone units, scores them, and skips anything already in the ledger. The ledger is project state, so commit it next to the source. Every unit stays source material rather than a finished post: the sentence only the author can write does not come out of a script.

Python 3 is required. Four references ship with it: hook and fold mechanics, the format canon, repurposing discipline, and accessibility. The rules are strict about fabrication: no invented number, client, result or quote. Links go in the first comment, alt text on every image. Worth installing if you post on LinkedIn often and keep rewriting hooks. Two posts a year? A plain editor is enough.

What it helps with

  • pick a post format that fits the material you have
  • catch mechanical faults before a draft goes live
  • split a talk or transcript into separate posts
  • stop the same idea going out twice in a year
  • strip pseudo-bold and add alt text

Example prompts for the agent

  • write a LinkedIn post about how we rewrote billing
  • lint my draft: `python3 scripts/post_linter.py --input draft.md --has-image`
  • split `talk.md` into posts and record them in `.linkedin-ledger.json`

How to install linkedin-content

1Plugin marketplace

/plugin marketplace add alirezarezvani/claude-skills
/plugin install linkedin@claude-code-skills

This installs the whole linkedin plugin with all its skills

2Skills CLI (Vercel)

npx skills add alirezarezvani/claude-skills --skill linkedin-content -a claude-code

3Manually: put the files in place

~/.claude/skills/linkedin-content/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/linkedin-content/

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Questions about linkedin-content

How do I install linkedin-content in Claude?

Through the plugin marketplace: /plugin marketplace add alirezarezvani/claude-skills, then /plugin install linkedin@claude-code-skills. Or run npx skills add alirezarezvani/claude-skills --skill linkedin-content -a claude-code.

What does linkedin-content do?

It picks a post format from your goal and material, drafts, then lints the result across mechanics, hook, integrity and accessibility. It also splits a long source into standalone units while tracking what you already posted.

How is it different from linkedin-strategy?

linkedin-strategy decides what the posts are about. This skill writes them. Comments and DMs belong to linkedin-engagement.

Source text

SKILL.md · MIT
---
name: linkedin-content
description: Use when someone wants to write, edit, or lint a LinkedIn post — a story, how-to, opinion piece, carousel script, video script, or poll — or wants an article, talk, or transcript repurposed into posts. Triggers on "write a LinkedIn post", "is this hook any good", "review my post", "turn this into LinkedIn posts", "carousel", "what format should this be". Lints posts 0-100 on mechanics, hook, integrity, and accessibility; picks the format the material actually supports; and splits long sources into standalone units with a reuse ledger.
license: MIT
metadata:
  version: 1.0.0
  author: Alireza Rezvani
  category: marketing
  updated: 2026-08-25
---

# LinkedIn Content — format, draft, lint

The post is not the deliverable; the specific thing only this person can say is. The scripts
handle format choice, mechanical faults, and de-duplication. The interesting part — what
actually happened and what it cost — comes from the user, and cannot be generated.

## Workflow

**1. Check the brief exists.** If there is no positioning brief, offer `linkedin-strategy`
first as a question. Posts without pillars are noise. Never chain silently.

**2. Pick the format from the material, not from fashion.**

```bash
python3 scripts/format_picker.py --goal authority --material data --material tutorial \
  --minutes 120 --output human
```

Exit 0 recommends / 2 asks when the top two are within a point (tie-break on which one they
would enjoy making — the one they repeat beats the one that scores higher once) / 3 no fit,
go get material. It refuses video with no camera and no footage, and a poll with no real
decision behind it.

**3. Draft.** Interview for specifics before writing a line: the number, the mistake, the
sentence someone said. Then write to the fold — **the first ~140 characters are the whole
post for most readers**, and a sentence must complete inside them.

**4. Lint before it ships.**

```bash
python3 scripts/post_linter.py --input draft.md --has-image --output human
```

Exit 0 SHIP / 2 REVISE (or any blocking finding) / 3 REWRITE. Blocking findings have named
consequences: over the 3,000-character cap; engagement bait, named as demoted content in the
Professional Community Policies; Unicode pseudo-bold, which screen readers announce as
mathematical symbols and search does not index as words. Two passes is normal; the stop
condition is exit 0 or a stated decision to accept a warning.

**5. Repurposing.** Split a source and keep the ledger — it prevents the specific recurring
failure of the same idea going out three times over eight months. Commit it alongside the
source; it is project state, not a cache. Every unit is source material, not a post: add the
sentence only the author can write — what it cost, or what they would do differently.

```bash
python3 scripts/repurpose_splitter.py --input talk.md --ledger .linkedin-ledger.json --output human
python3 scripts/repurpose_splitter.py --input talk.md --ledger .linkedin-ledger.json --record 2 --posted-on 2026-08-25
```

## Rules

- **Never fabricate a number, a client, a result, or a quote.** Not one, not as a placeholder.
- **Write to the mobile fold.** A sentence completes before character 140.
- **Links in the first comment**, and say so in the post.
- **No Unicode pseudo-bold, ever.** It is an accessibility failure, not a style choice.
- **Alt text on every image; captions on every video.** LinkedIn does not add them for you.
- **No engagement bait.** Ask the question the post actually earned.
- **The author reads every line before it ships.** They are the author of record.

## Scripts

| Script | Role |
|---|---|
| [`scripts/post_linter.py`](scripts/post_linter.py) | 0-100 across mechanics / hook / integrity / accessibility; blocking findings for the cap, bait, and pseudo-bold. |
| [`scripts/format_picker.py`](scripts/format_picker.py) | Ranks nine native formats against goal, material, and minutes; refuses camera-less video and decision-less polls. |
| [`scripts/repurpose_splitter.py`](scripts/repurpose_splitter.py) | Splits a source into standalone units, scores them, and skips anything already in the reuse ledger. |

## References and assets

- [`references/hook_and_fold_mechanics.md`](references/hook_and_fold_mechanics.md) — the first 140 characters, and the openers to delete on sight (7 sources)
- [`references/post_formats_canon.md`](references/post_formats_canon.md) — what each native format is good at, and the carousel trap (7 sources)
- [`references/repurposing_discipline.md`](references/repurposing_discipline.md) — standalone units, the reuse ledger, source types and their risks (7 sources)
- [`references/accessibility_and_inclusion.md`](references/accessibility_and_inclusion.md) — pseudo-bold, alt text, captions, and why they are blocking (7 sources)

- [`assets/post_templates.md`](assets/post_templates.md) — five worked post shapes with the hook already doing its job
- [`assets/example_post.md`](assets/example_post.md) — a post that passes the linter, annotated

## Distinct from

- **`linkedin-strategy`** — decides what the posts are about. This writes them.
- **`linkedin-engagement`** — comments and DMs. A comment is a different craft with a
  different budget; it lives there.
- **`marketing-skill/copywriting` / `content-humanizer`** — general copy and de-AI passes.
  Reach for those for tone; this one owns LinkedIn's mechanics and its accessibility floor.

---

**Version:** 1.0.0

© Alireza Rezvani · MIT · alirezarezvani/claude-skills

See also

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