Agent skill · marketing growth · aradotso

strategic-marketing-director-skill

AI-powered strategic marketing director with 50+ classic models and automated workflow for data-driven marketing decisions

Why this skill is useful

Provides structured frameworks and automated workflows for data-driven marketing decisions that the AI wouldn't reliably generate on its own.

What it needs

About 9k tokens when loaded. Last updated 2026-08-05. 8 stars on the source repository.

What this skill does

strategic-marketing-director-skill Skill by ara.so — Marketing Skills collection. This skill transforms AI agents into strategic marketing directors, equipped with 50+ classic marketing and business models organized into a 4-stage workflow: Diagnose → Strategy → Execute → Review. It provides structured frameworks for marketing decision-making, from market analysis to campaign execution. What This Project Does Strategic Marketing Director is a comprehensive decision-making system that: Integrates 20+ classic analysis models across 9 categories (strategic, thinking, brand, marketing, growth, psychology, data, operations, sales) Provides a structured workflow for marketing decisions: diagnosis → strategy → execution → review Automates model selection based on business scenarios and triggers Enables evidence-based marketing moving from experience-driven to data-driven decisions Installation This is a knowledge-based skill system, not a code library. To use: 1. Clone the repository: 2. Review the main skill file: 3. Access reference models: Project Structure Core Workflow The system follows a 4-stage marketing decision workflow: 1. Diagnose (诊断阶段) Analyze the current situation using strategic and thinking models: 2. Strategy (策略阶段) Develop strategic direction using brand and marketing models: 3. Execute (执行阶段) Implement campaigns using growth and operations models: 4. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aradotso/strategic-marketing-director-skill

View the source on GitHub

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