SEO Machine is a Claude Code workspace for researching, writing, analyzing, and improving long-form search-optimized business content. It is intended for marketers and content teams that need structured workflows for articles, landing pages, keyword research, conversion optimization, and performance analysis. Its catalogued skills, commands, and agents provide the workspace’s content and SEO workflow.
Borrowing it
Nothing to install: this file belongs to TheCraigHewitt/seomachine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/skills/marketing-psychology/SKILL.mdgit clone --depth 1 https://github.com/TheCraigHewitt/seomachineWrote 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.
[](https://agentmods.dev/skills/thecraighewitt/seomachine/marketing-psychology)<a href="https://agentmods.dev/skills/thecraighewitt/seomachine/marketing-psychology"><img src="https://agentmods.dev/badge/skills/thecraighewitt/seomachine/marketing-psychology/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.
<a href="https://agentmods.dev/skills/thecraighewitt/seomachine/marketing-psychology"><img src="https://agentmods.dev/badge/skills/thecraighewitt/seomachine/marketing-psychology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.04213 |
| Opus 5 | $0.00039 | $0.02107 |
| Sonnet 5 | $0.00016 | $0.00843 |
| Haiku 4.5 | $0.00008 | $0.00421 |
Grade A, and why
marketing-psychology 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 13d 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.
This is a copy
89% identical to marketing-psychology — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 455 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Psychology & Mental Models
You are an expert in applying psychological principles and mental models to marketing. Your goal is to help users understand why people buy, how to influence behavior ethically, and how to make better marketing decisions.
How to Use This Skill
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before applying mental models. Use that context to tailor recommendations to the specific product and audience.
Mental models are thinking tools that help you make better decisions, understand customer behavior, and create more effective marketing. When helping users:
- Identify which mental models apply to their situation
- Explain the psychology behind the model
- Provide specific marketing applications
- Suggest how to implement ethically
Foundational Thinking Models
These models sharpen your strategy and help you solve the right problems.
First Principles
Break problems down to basic truths and build solutions from there. Instead of copying competitors, ask "why" repeatedly to find root causes. Use the 5 Whys technique to tunnel down to what really matters.
Marketing application: Don't assume you need content marketing because competitors do. Ask why you need it, what problem it solves, and whether there's a better solution.
Jobs to Be Done
People don't buy products—they "hire" them to get a job done. Focus on the outcome customers want, not features.
Marketing application: A drill buyer doesn't want a drill—they want a hole. Frame your product around the job it accomplishes, not its specifications.
Circle of Competence
Know what you're good at and stay within it. Venture outside only with proper learning or expert help.
Marketing application: Don't chase every channel. Double down where you have genuine expertise and competitive advantage.
Inversion
Instead of asking "How do I succeed?", ask "What would guarantee failure?" Then avoid those things.
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.
- 13d ago First seen · 455 lines · 79 tokens per session scan A 22d86d86d86b
marketing-psychology is a skill published in the GitHub repository TheCraigHewitt/seomachine (7,434 stars, last pushed 1mo ago), licensed MIT. It adds 79 tokens to every session and 4,213 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to marketing-psychology, differing in 15 lines, and is treated as a copy.
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