This repo packages a marketing decision framework for agents so they can judge what to do, not just list tactics. The main skill file is adapted for Claude Code, Cursor, Codex, and other agents, with a compact version for lower-context models. It is built around principles like short test cycles, competitor-led research, and getting the first client by hand before scaling.
Builders who want their agent to help with positioning, first customers, and B2B marketing decisions.
You can get sharper positioning, competitor analysis, and outbound angles instead of generic marketing advice.
Defines how an agent should think about marketing choices, including when to act, what to test, and what to avoid.
Provides separate files for Claude Code, Cursor, Codex, ChatGPT, Grok, and other agents so the same mindset works across tools.
Includes `SKILL.lite.md` for weaker or lower-context models that need the same rules in a shorter form.
Runs `python scripts/first-client-gate.py` to block the skill until the user has a first client.
Shows the skill in action in `examples/demo-transcript.md`, turning a rough request into a 3-month plan.
npx skills add axelfreeman/marketing-mindset
The marketing OS for AI agents — think like a marketer first, get tactics as the output. Not another bag of CRO/SEO/copywriting tricks. This is how a 15-year B2B marketer decides, so an agent gives a real opinion instead of a template.
Every other "marketing skill" for AI agents hands over tactics. Nobody packages how a marketer thinks. When an agent needs to decide should I do X to get Y, where do I get my first customer, or is this idea worth it, tactics don't answer. This skill does.
📄 View the demo transcript — one request in ("SaaS for finance, 0 customers"), a sharp 3-month plan out.
Founders and solo operators can generate code, not content. "How do I do marketing" is genuinely unclear to them. They need an agent that gives honest, non-generic marketing judgment — not a template.
Six principles and a decision framework, distilled from 15 years of hands-on B2B internet marketing:
Plus: competitors as the source of truth, three keys to the human, and the client stages (first client by hand and free → 2–10 by copying competitors).
Verified to load correctly on these models before release — each adapter matches the target's native syntax:
| Model | File to use |
|---|---|
| Claude Code | SKILL.md → .claude/skills/marketing-mindset/ |
| Cursor | .cursorrules |
| Codex | AGENTS.md + SKILL.md |
| ChatGPT (Custom GPT) | paste SKILL.lite.md as instructions |
| Grok / xAI | SKILL.md (system prompt) |
| Qwen (qwen3) | SKILL.lite.md |
| DeepSeek (V3 / Flash) | SKILL.lite.md |
| Llama (Meta) | SKILL.md |
| Mistral | SKILL.md |
| Gemini | SKILL.md |
| Hermes (Nous) | SKILL.md |
Working through this skill ends in concrete deliverables — a competitor analysis, three outbound angles, and sharper positioning (see the demo). The mindset is the input; the tactics are the output.
npx skills add axelfreeman/marketing-mindset
Low-context or weaker models? Use the compact SKILL.lite.md — the same mindset compressed to the essentials.
python scripts/first-client-gate.py
One honest question before you start: do you have your first client yet? If the answer isn't "me," the skill waits.
If it works, star it and share it. The network effect compounds.
Axel Freeman ships releases and improvements to this repo regularly. If this clicks, watch the repo (and star it) — that's how you get each new release and update automatically.
The roadmap is long — active development is planned for at least the next 6 months, so there's a steady stream of updates coming.
Getting first customers is hard — and most marketing advice is generic. Get weekly non-generic teardowns:
marketing mindset, marketing operator mindset, how a marketer thinks, marketing skills for AI agents, growth marketing, first customers, B2B lead generation, positioning, launch, copywriting, cold outreach, SaaS marketing
"Growth hacks", "embellish", and "frame case studies" mean marketing positioning and copywriting — presenting the product's value in its best, boldest light — not fraud, fabricated testimonials, or deceiving users. Bold marketing, always legal.
Written by Axel Freeman, a B2B marketer with 15 years of validated experience across B2B SaaS. Not a content farm — the operator's own method.
MIT
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