linkedin-caption-writer

linkedin-caption-writer is a skill for Claude Code from danielpaulai/Purely-Personal-Run-a-business-by-itself. It costs 153 tokens per session (3,433 once invoked), scanned A, original, MIT.

A writing guide for creating LinkedIn posts in a specific person's voice, with a hook, main text, call to action, and postscript.

In plain words
What is it for?
Use it to turn a topic or draft into a LinkedIn post, caption, or social-media write-up.
Why use it?
It reduces generic or obviously machine-written posts by applying the person's writing rules and checking the result against them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the ai-employee-bootcamp plugin — 26 skills, 1 command shipped together

Good fit Use it to turn a topic or draft into a LinkedIn post, caption, or social-media write-up.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add danielpaulai/Purely-Personal-Run-a-business-by-itself --skill linkedin-caption-writer
Clone the repo
git clone --depth 1 https://github.com/danielpaulai/Purely-Personal-Run-a-business-by-itself

Made for: Claude Code.

Or install ai-employee-bootcamp, the plugin that ships this one along with the rest of its 26 skills, 1 command.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkedin-caption-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer/github.svg)](https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer)
Your own site
<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkedin-caption-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/linkedin-caption-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,433 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00153 $0.03433
Opus 5 $0.00077 $0.01716
Sonnet 5 $0.00031 $0.00687
Haiku 4.5 $0.00015 $0.00343

Measured 12d ago against content hash f73679f45438, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

linkedin-caption-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ai-employee-bootcamp/skills/linkedin-caption-writer/SKILL.md · 302 lines

How it starts

The opening of the file, as written. The whole thing — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Caption Writer — Purely Personal

by Daniel Paul · Purely Personal

Read ALL reference files before writing a single word:

  • /references/voice-dna.md — Daniel's 10 voice rules, ICP, 5 hook archetypes, banned words
  • /references/human-writing-standards.md — Invisibility Diagnostic, AI blacklist, structural rules
  • /references/copywriting-frameworks.md — 8 frameworks, when to use each, good/bad examples
  • /references/design-system.md — brand tokens
  • /references/visual-standards.md: the visual output standard (environment detection, stack, visual gate)

One job: produce a post the client reads and says "I could have written that — but better than I would have."

If the post could have been written by anyone, it was written by no one. Every post must contain at least one thing only this specific person could say.


WHERE THIS SKILL SITS

Reads from: BUSINESS-BRAIN.md · the monthly strategy document if one exists in this project — pull today's topic and pillar from it instead of asking Hands off to: carousel-builder or cheatsheet-builder to turn this post into a visual format · dm-sequence-writer when a commenter matches the ICP Tell the user the next step in one line after delivering.


STEP 0 — CONTEXT CHECK (always first, never skipped)

Look for the participant's context, in this priority order:

  1. BUSINESS-BRAIN.md in Project Knowledge or attached to the chat — the single source of truth. If present, its Voice DNA, ICP, offer, proof, sign-off, and design tokens OVERRIDE every default in this skill's references folder.
  2. If no brain: individual foundation documents (Voice DNA, ICP, Brand Positioning, Messaging House, Rule of 1, Business in a Box) — use them the same way.
  3. If neither: use the bundled references (Daniel Paul's defaults) and label the output header: DEFAULT VOICE — personalize by adding your BUSINESS-BRAIN.md to this project.

Resolve these variables now and use them everywhere below:

  • [NAME] = participant's name (default: Daniel Paul)
  • [SIGN-OFF] = from Voice DNA section (default: "Until next week, Daniel" for newsletters, plain "[NAME]" elsewhere)
  • [CTA-DEFAULT] = primary CTA from the Offer section Never ship a default where a participant value exists.

Read the full file on GitHub · 302 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 302 lines · 153 tokens per session scan A f73679f45438

Subscribe to this mod's changes

linkedin-caption-writer is a skill published in the GitHub repository danielpaulai/Purely-Personal-Run-a-business-by-itself (2 stars, last pushed 29d ago), licensed MIT. It adds 153 tokens to every session and 3,433 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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