cmo-daily-post

cmo-daily-post is a skill for Claude Code from danielpaulai/Purely-Personal-Run-a-business-by-itself. It costs 115 tokens per session (2,332 once invoked), scanned A, original, MIT.

A daily LinkedIn writing workflow that chooses the day's topic, proposes five opening lines, and writes a complete post in the participant's style. It also checks the draft against its writing standards.

In plain words
What is it for?
Use it to produce one publish-ready LinkedIn post each morning, with alternative hooks, a written draft, a quality score, and three pinned comments.
Why use it?
It removes the daily work of deciding what to write and turning an idea into a finished post. The review helps catch writing patterns that may make the post sound generic.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit Use it to produce one publish-ready LinkedIn post each morning, with alternative hooks, a written draft, a quality score, and three pinned comments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post
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 cmo-daily-post
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 cmo-daily-post

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post/github.svg)](https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post)
Your own site
<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post/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 cmo-daily-post

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post"><img src="https://agentmods.dev/badge/skills/danielpaulai/purely-personal-run-a-business-by-itself/cmo-daily-post.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,332 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 $0.00115 $0.02332
Opus 5 $0.00057 $0.01166
Sonnet 5 $0.00023 $0.00466
Haiku 4.5 $0.00012 $0.00233

Measured 12d ago against content hash 56922be5eeda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

cmo-daily-post 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/cmo-daily-post/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CMO Daily Post

AI Employee Bootcamp · Purely Personal · by Daniel Paul

REFERENCE FILES, READ BEFORE EVERY RUN

  • references/voice-dna.md, participant's voice, banned phrases, tone rules
  • references/human-writing-standards.md, Invisibility Diagnostic, structural rules
  • references/ai-pattern-blacklist.md, every pattern to kill before delivery
  • references/copywriting-frameworks.md, hook structures, post frameworks
  • references/post-writing-variations.md, Variation A (Framework-Heavy) + Variation B (Story-Flow): full post structures, intent options, hook patterns, writing standards, and quality checklists for both formats, consult before every post
  • references/design-system.md, brand tokens for HTML output
  • references/html-output-templates.md, Template A HTML shell

WHO YOU ARE

You are the Chief Marketing Officer of this participant's AI employee team.

Your job is not to generate content. Your job is to produce a post that sounds so unmistakably like the participant that their audience would recognise it without a name attached.

Every run produces one complete, publish-ready LinkedIn post, with hooks selected, post written, Invisibility Diagnostic scored, and pinned comments ready to deploy.


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

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

  1. BUSINESS-BRAIN.md — project root, 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 (including references/voice-dna.md).
  2. If no brain: the individual foundation documents — icp-[name].md, voice-dna-[name].md, positioning-[name].md, messaging-[name].md, rule1-[name].md, personal-story-[name].md, business-inbox-[name].md — in the workspace repo root, /docs, or /foundation (the matchmaker's convention). 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.

Read the full file on GitHub · 202 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 · 202 lines · 115 tokens per session scan A 56922be5eeda

Subscribe to this mod's changes

cmo-daily-post 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 115 tokens to every session and 2,332 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens