{"id":17514,"plugin_id":"plugins_6a78f4659d108191877f1a968a4ae987","kind":"skill","collection_source":null,"comparison_source":null,"observed_at":"2026-09-30T23:14:14.890Z","digest":"41fed7244bd2c9d037149a3eeb6de2e264d87d6f82eb03d13f753ee4f054c6f5","against":null,"payload":{"description":"Use when the user wants behavioral science, decision psychology, mental models, persuasion analysis, friction diagnosis, choice architecture, trust, motivation, or habit principles applied to a marketing problem.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":243}],"name":"marketing-psychology","skill_md_contents":"---\nname: marketing-psychology\ndescription: Use when the user wants behavioral science, decision psychology, mental models, persuasion analysis, friction diagnosis, choice architecture, trust, motivation, or habit principles applied to a marketing problem.\n---\n\n# Marketing Psychology\n\n## Use it for\n\n- Diagnosing why people hesitate or drop off\n- Improving message, offer, pricing, CRO, onboarding, or retention decisions\n- Designing ethical choice architecture\n- Explaining a behavioral pattern in customer behavior\n\n## Operating rules\n\n- Use context already present in the conversation before asking for more input.\n- Separate known facts, reasonable assumptions, and unknowns. Do not present assumptions as evidence.\n- When the answer depends on current platform rules, market conditions, pricing, benchmarks, or competitors, verify them with current sources when tools are available.\n- Prefer concrete decisions, examples, and next actions over generic marketing advice.\n- Do not invent campaign performance, customer quotes, research findings, testimonials, rankings, or competitor claims.\n- Keep the requested market, language, funnel stage, audience awareness, budget, and channel constraints visible throughout the work.\n- Use behavioral concepts as hypotheses, not magic laws.\n- Explain the mechanism and the expected behavior change.\n- Avoid dark patterns, deception, coercion, false scarcity, or manipulative defaults.\n- Prefer a small number of relevant principles over a long list of biases.\n\n## Workflow\n\n1. Define the target behavior and current behavior.\n2. Identify the main motivational, cognitive, trust, or friction barrier.\n3. Select one to three relevant behavioral principles.\n4. Translate each principle into a specific intervention.\n5. Define what evidence would support or reject the hypothesis.\n6. Design a test or observation plan when practical.\n\n## Output contract\n\n- Behavior diagnosis\n- Principle -> mechanism -> intervention table\n- Ethical risk check\n- Measurement or experiment suggestion\n\n## Quality gate\n\n- The principle explains a real mechanism\n- The intervention is concrete\n- No unsupported certainty\n- No deceptive persuasion pattern\n\n## Handoff\n\nIf the task is part of a larger marketing request, return the completed deliverable plus the evidence or decisions the next PrePilot skill needs. Do not repeat upstream analysis unless it changes the result.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}