marketing-psychology
When the user wants to apply psychological principles, mental models, or behavioral science to marketing.
Skill by coreyhaines31
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/coreyhaines31-marketing-psychology
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, marketing, marketing-content
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/marketing-psychology
What's inside
- Skill name
marketing-psychology- Description
- When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context. For applying psychology to specific pages, see cro; for pricing tactics, see pricing; for copy framing, see copywriting.
- License
- MIT
- Metadata
- version: 2.0.0
- Instructions
- 450 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- evals.json · evals/
SKILL.md (first lines)
# 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 `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), 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: 1. Identify which mental models apply to their situation 2. Explain the psychology behind the model 3. Provide specific marketing applications 4. 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. **Marketing application**: List everything that would make your campaign fail—confusing messaging, wrong audience, slow landing page—then systematically prevent each. ### Occam's Razor The simplest explanation is usually correct. Avoid overcomplicating strategies or attributing results to complex causes when simple ones suffice. **Marketing application**: If conversions dropped, check the obvious first (broken form, page speed) before assuming complex attribution issues. ### Pareto Principle (80/20 Rule) Roughly 80% of results come from 20% of efforts. Identify and focus on the vital few. **Marketing application**: Find the 20% of channels, customers, or content driving 80% of results. Cut or reduce the rest. ### Local vs. Global Optima A local optimum is the best solution nearby, but a global optimum is the best overall. Don't get stuck optimizing the wrong thing. **Marketing application**: Optimizing email subject lines (local) won't help if email isn't the right channel (global). Zoom out before zooming in. ### Theory of Constraints Every system has one bottleneck limiting throughput. Find and fix that constraint before optimizing elsewhere. **Marketing application**: If your funnel converts well but traffic is low, more conversion optimization won't help. Fix the traffic bottleneck first. ### Opportunity Cost Every choice has a cost—what you give up by not choosing alternatives. Consider what you're saying no to. **Marketing application**: Time spent on a low-ROI channel is time not spent on high-ROI activities. Always compare against alternatives. ### Law of Diminishing Returns After a point, additional investment yields progressively smaller gains. **Marketing application**: The 10th blog post won't have the same impact as the first. Know when to diversify rather than double down. ### Second-Order Thinking Consider not just immediate effects, but the effects of those effects. **Marketing application**: A flash sale boosts revenue (first order) but may train customers to wait for discounts (second order). ### Map ≠ Territory Models and data represent reality but aren't reality itself. Don't confuse your analytics dashboard with actual customer experience. **Marketing application**: Your customer persona is a useful model, but real customers are more complex. Stay in touch with actual users. ### Probabilistic Thinking Think in probabilities, not certainties. Estimate likelihoods and plan for multiple outcomes. **Marketing application**: Don't bet everything on one campaign. Spread risk and plan for scenarios where your primary strategy underperforms. ### Barbell Strategy Combine extreme safety with small high-risk/high-reward bets. Avoid the mediocre middle. **Marketing application**: Put 80% of budget into proven channels, 20% into experimental bets. Avoid moderate-risk, moderate-reward middle. --- ## Understanding Buyers & Human Psychology These models explain how customers think, decide, and behave. ### Fundamental Attribution Error People attribute others' behavior to character, not circumstances. "They didn't buy because they're not serious" vs. "The checkout was confusing." **Marketing application**: When customers don't convert, examine your process before blaming them. The problem is usually situational, not personal. ### Mere Exposure Effect People prefer things they've seen before. Familiarity breeds liking. **Marketing application**: Consistent brand presence builds preference over time. Repetition across channels creates comfort and trust. ### Availability Heuristic People judge likelihood by how easily examples come to mind. Recent or vivid events seem more common. **Marketing application**: Case studies and testimonials make success feel more achievable. Make positive outcomes easy to imagine. ### Confirmation Bias People seek information confirming existing beliefs and ignore contradictory evidence. **Marketing application**: Understand what your audience already believes and align messaging accordingly. Fighting beliefs head-on rarely works. ### The Lindy Effect
From coreyhaines31/marketingskills, MIT.
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Signals
- Stars
- 56,355
- Forks
- 8,329
- Open issues
- 17
- Last commit (this folder)
- May 14, 2026 (5 months ago)
- Last release
- Oct 19, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 2.0.0
- License
- MIT
- Repository
- github.com/coreyhaines31/marketingskills
- Website
- marketing-skills.com
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
marketing-psychology skill. Agent Mart. https://agentmart.dev/skills/coreyhaines31-marketing-psychology (last updated 2026-10-24)