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34-ai-marketing-os-global

Designs and audits an AI Marketing OS with Brand Hub, role workspaces, skill chains, and operating cadence.

569|224|Updated Apr 15, 2026
Search Tags:#marketing operations#mcp connectors#skill chains#marketing sop#ai marketing os#brand hub#role workspaces
One-click install
npx skills add https://github.com/minhnv0807/ai-business-skills --skill 34-ai-marketing-os-global
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 34-ai-marketing-os-global
Source: https://github.com/minhnv0807/ai-business-skills/tree/main/skills/en/34-ai-marketing-os-global
Command: npx skills add https://github.com/minhnv0807/ai-business-skills --skill 34-ai-marketing-os-global

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Marketing teams often use AI through scattered one-off prompts with lost context, inconsistent brand output, and no source of truth. This Skill turns AI usage into an operating system with a Brand Hub, role-based workspaces, skill chains, data loops, and review cadences.

Core Features & Use Cases

  • Maturity audit and Brand Hub design: Score the team's AI stack from level 0-4, then build the six core Brand Hub files covering brand guidelines, customer insight, positioning, content pillars, KPI framework, and campaign templates.
  • Role workspaces and skill chains: Map Strategy, Campaign, Content, Design, Performance, and Sales/RevOps roles to tools like Claude Projects, ChatGPT, NotebookLM, Notion, and MCP connectors, with defined workflow chains.
  • Operating cadence and governance: Set up daily, weekly, monthly, and quarterly SOPs plus guardrails for privacy, claims, prompt injection, and brand drift.
  • Use Case: An agency lead asks to set up an AI marketing system for a client; the Skill audits the current stack, designs the Brand Hub, assigns role workspaces, and outputs a 30-60-90 day roadmap.

Quick Start

Ask the AI to design an AI Marketing OS for your team, including a Brand Hub, role workspaces, and a weekly review cadence.

Frequently Asked Questions about 34-ai-marketing-os-global

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up an AI marketing operating system for my team?▼

Start by auditing your current AI stack maturity from level 0 to 4, then build a Brand Hub with six core files covering brand guidelines, customer insight, positioning, content pillars, KPI framework, and campaign templates. Next, map role workspaces and define skill chains before adding automation.

What is a Brand Hub in AI marketing workflows?▼

A Brand Hub is the living source of truth for AI-assisted marketing, containing brand guidelines, customer insight, positioning and offer, content pillars, KPI framework, and campaign templates. When a file changes, the version is logged and affected role workspaces are updated.

Can I use this with ChatGPT, Claude Projects, and NotebookLM together?▼

Yes, the system is vendor-neutral and maps tools to roles rather than forcing one stack. A common pattern uses ChatGPT for fast ideation, Claude Projects for role-based workspaces, NotebookLM for source document reading, and MCP connectors for live data.

When should I not use an AI Marketing OS approach?▼

Do not use it for a single artifact like one campaign brief, one weekly report, or one brand guideline; use the dedicated single-purpose skills instead. The OS approach fits teams needing ongoing cross-role workflows, not one-off deliverables.

How do I prevent brand drift when multiple AI tools generate content?▼

Compare every new output against the Brand Hub files and re-upload updated Brand Hub files to all affected role projects whenever they change. Skipping re-uploads leaves projects running on stale context, which is the main cause of brand drift.

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