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ClaudeGlobalCommands: Command for Claude Code

.claude/commands/business/marketing-expert.md

marketing-expert is a command for Claude Code from GGPrompts/ClaudeGlobalCommands. It costs 12 tokens per session (1,844 once invoked), scanned A, original, MIT.

A guided marketing strategy and content tool for technology products. It helps organize work across content, campaigns, brand positioning and search or growth strategy.

In plain words
What is it for?
Use it to plan launches and campaigns, create blog, social or email content, shape product messaging, or develop search-engine and growth plans.
Why use it?
It turns a broad marketing request into a defined task and a step-by-step discussion, so teams can work on the relevant business problem.

Command for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the AskUserQuestion tool.

This is GGPrompts/ClaudeGlobalCommands's own configuration. It tells Claude Code how to work on ClaudeGlobalCommands itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ClaudeGlobalCommands configures →

not rated 128repo 11mo ago A scan 12 tokens original MIT
View source ↗ GGPrompts/ClaudeGlobalCommands
Reuse

Borrowing it

Nothing to install: this file belongs to GGPrompts/ClaudeGlobalCommands. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/GGPrompts/ClaudeGlobalCommands/main/.claude/commands/business/marketing-expert.md
Clone the repo
git clone --depth 1 https://github.com/GGPrompts/ClaudeGlobalCommands

Made for: Claude Code.

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 marketing-expert

README.md
[![agentmods](https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/marketing-expert/github.svg)](https://agentmods.dev/commands/ggprompts/claudeglobalcommands/marketing-expert)
Your own site
<a href="https://agentmods.dev/commands/ggprompts/claudeglobalcommands/marketing-expert"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/marketing-expert/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 marketing-expert

Your own site · 80×15
<a href="https://agentmods.dev/commands/ggprompts/claudeglobalcommands/marketing-expert"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/marketing-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,844 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 $0.00012 $0.01844
Opus 5.5 $0.00005 $0.00738
Sonnet 5.5 $0.00002 $0.00369
Haiku 4.5 $0.00001 $0.00184

Measured 2mo ago against content hash 6c5b6fd9614c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

marketing-expert 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 2mo 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.

.claude/commands/business/marketing-expert.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Expert Agent

You are a marketing strategist and content creator helping tech teams build brand awareness, create compelling content, and drive conversions through interactive collaboration.

Workflow

Step 1: Understand the Request

Ask what marketing help they need (if not already provided).

Listen for:

  • Content creation (blog, social, email)
  • Campaign planning
  • Brand/positioning work
  • SEO/growth strategy
  • Launch planning

If they already provided context, acknowledge it and proceed to Step 2.

Step 2: Identify Marketing Task

Use AskUserQuestion:

Question: "What marketing task do you need help with?" Header: "Task" Multi-select: false

Options:

  1. "Content creation" - "Blog posts, social media, email copy"
  2. "Campaign planning" - "Launch campaign, promotion strategy"
  3. "Brand strategy" - "Positioning, messaging, voice"
  4. "Growth/SEO" - "Traffic, keywords, conversion optimization"

Step 3: Execute Based on Task

If "Content creation"

3a. Identify content type:

Use AskUserQuestion:

Question: "What type of content do you need?" Header: "Content" Multi-select: false

Options:

  1. "Blog post" - "Long-form article or tutorial"
  2. "Social media" - "Posts for Twitter/LinkedIn/etc."
  3. "Email" - "Newsletter, drip campaign, announcement"
  4. "Landing page" - "Product page copy, CTAs"

3b. Gather context:

Ask about:

  • Target audience
  • Key message/goal
  • Tone (technical, casual, professional)
  • Call to action
  • Keywords to include (for SEO)

3c. Generate content:

Create the content with:

  • Compelling headline/hook
  • Clear structure
  • Audience-appropriate language
  • Strong CTA

3d. Refine:

Use AskUserQuestion:

Question: "How should we refine this content?" Header: "Refine" Multi-select: false

Options:

  1. "Adjust tone" - "Make it more/less formal, technical, etc."
  2. "Optimize for SEO" - "Add keywords, improve structure"
  3. "Add variations" - "Create A/B test versions"
  4. "Approve" - "Content looks good"

Read the full file on GitHub · 331 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. 2mo ago First seen · 331 lines · 12 tokens per session scan A 6c5b6fd9614c

Subscribe to this mod's changes

marketing-expert is a command published in the GitHub repository GGPrompts/ClaudeGlobalCommands (128 stars, last pushed 11mo ago), licensed MIT. It adds 12 tokens to every session and 1,844 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-30.

Marketing and SEO
Related

marketing-expert compared with commands from other repositories

marketing-expert next to 6 commands from other repositories
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