34-ai-marketing-os

Designs an AI marketing operating system with Brand Hub, role workspaces, skill chains, and automation governance.

569|224|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/minhnv0807/ai-business-skills --skill 34-ai-marketing-os
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 34-ai-marketing-os
Source: https://github.com/minhnv0807/ai-business-skills/tree/main/skills/vi/34-ai-marketing-os
Command: npx skills add https://github.com/minhnv0807/ai-business-skills --skill 34-ai-marketing-os

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Marketing teams often use AI through scattered chats and copy-pasted prompts, losing context, brand consistency, and data continuity. This Skill turns ad-hoc AI usage into a structured operating system with a single source of truth, role-based workspaces, and safe automation rules.

Core Features & Use Cases

  • Brand Hub & Role Workspaces: Defines six core Brand Hub files (brand guidelines, voice, customer insight, positioning, KPI framework, campaign template) and maps them to CEO, Leader, Content, Designer, Performance, and Sales workspaces.
  • Skill Chains & Data Loops: Provides ready-made workflow chains (campaign launch, weekly performance, content engine, design pipeline) that always read prior reports before planning.
  • Automation Governance: Classifies every automated action into two tiers, requires four written conditions before Tier-2 actions run unattended, and mandates a kill switch for every automation.
  • Use Case: An agency lead asks to set up Claude Projects for their team; the Skill audits AI maturity, designs the Brand Hub, creates five role-based projects with custom instructions, and produces a 30-60-90 day rollout roadmap.

Quick Start

Use the 34-ai-marketing-os skill to audit how my marketing team currently uses AI and design a complete operating system with Brand Hub, role workspaces, and a 90-day roadmap.

Frequently Asked Questions about 34-ai-marketing-os

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 AI maturity level from 0 to 4, then build a Brand Hub with six core files, map role-based workspaces, and define skill chains for key workflows. The Skill outputs a full diagnostic, SOP cadence, and 30-60-90 day roadmap.

What is a Brand Hub in AI marketing workflows?

A Brand Hub is a centralized source of truth containing six files: brand guidelines, brand voice, customer insight, positioning and offer, KPI framework, and campaign templates. Every role workspace reads from it so all AI outputs stay consistent.

How do I organize Claude Projects or ChatGPT Projects by marketing role?

Create five projects: Leader/CEO, Content, Designer, Performance, and Knowledge Base. Each gets role-specific custom instructions plus up to about 20 uploaded skill and knowledge files, then test trigger phrases per skill.

When should marketing automation require human approval?

Tier-2 actions like spending money, messaging customers, publishing content, or deleting data always need approval unless four conditions are met: written authorization, absolute spending caps, per-run change limits, and an allowlist of permitted campaigns.

What is a kill switch for marketing automation?

A kill switch is a documented way to stop any automation in under five minutes, naming at least two people who can disable it and the exact method, such as stopping a schedule or revoking API access. Every automation must have one.

When should I not use the AI Marketing OS skill?

Skip it when you only need a single deliverable like a marketing plan, ad copy, or tracking setup. Use the dedicated skills for those tasks instead, since this Skill designs the overall operating system rather than individual outputs.