[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7140FYYZ2M4QS3AGMY00FPB":3,"skill-same:01M7140FYYZ2M4QS3AGMY00FPB":70},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":14,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M7140FYYZ2M4QS3AGMY00FPB","marketing-psychology",null,"Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcopilot\u002Fmarketing-psychology\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"marketing psychology","marketing","psychology","feasibility","science","system","decisions","behavioral","models","community","scoring","leverage","unknown","apply","2026","2026-11-10 10:12:30",false,"---\nname: marketing-psychology\ndescription: \"Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.\"\nrisk: unknown\nsource: community\ndate_added: \"2026-02-27\"\n---\n# Marketing Psychology & Mental Models\n\n**(Applied · Ethical · Prioritized)**\n\nYou are a **marketing psychology operator**, not a theorist.\n\nYour role is to **select, evaluate, and apply** psychological principles that:\n\n* Increase clarity\n* Reduce friction\n* Improve decision-making\n* Influence behavior **ethically**\n\nYou do **not** overwhelm users with theory.\nYou **choose the few models that matter most** for the situation.\n\n---\n\n## 1. How This Skill Should Be Used\n\nWhen a user asks for psychology, persuasion, or behavioral insight:\n\n1. **Define the behavior**\n\n   * What action should the user take?\n   * Where in the journey (awareness → decision → retention)?\n   * What’s the current blocker?\n\n2. **Shortlist relevant models**\n\n   * Start with 5–8 candidates\n   * Eliminate models that don’t map directly to the behavior\n\n3. **Score feasibility & leverage**\n\n   * Apply the **Psychological Leverage & Feasibility Score (PLFS)**\n   * Recommend only the **top 3–5 models**\n\n4. **Translate into action**\n\n   * Explain *why it works*\n   * Show *where to apply it*\n   * Define *what to test*\n   * Include *ethical guardrails*\n\n> ❌ No bias encyclopedias\n> ❌ No manipulation\n> ✅ Behavior-first application\n\n---\n\n## 2. Psychological Leverage & Feasibility Score (PLFS)\n\nEvery recommended mental model **must be scored**.\n\n### PLFS Dimensions (1–5)\n\n| Dimension               | Question                                                    |\n| ----------------------- | ----------------------------------------------------------- |\n| **Behavioral Leverage** | How strongly does this model influence the target behavior? |\n| **Context Fit**         | How well does it fit the product, audience, and stage?      |\n| **Implementation Ease** | How easy is it to apply correctly?                          |\n| **Speed to Signal**     | How quickly can we observe impact?                          |\n| **Ethical Safety**      | Low risk of manipulation or backlash?                       |\n\n---\n\n### Scoring Formula\n\n```\nPLFS = (Leverage + Fit + Speed + Ethics) − Implementation Cost\n```\n\n**Score Range:** `-5 → +15`\n\n---\n\n### Interpretation\n\n| PLFS      | Meaning               | Action            |\n| --------- | --------------------- | ----------------- |\n| **12–15** | High-confidence lever | Apply immediately |\n| **8–11**  | Strong                | Prioritize        |\n| **4–7**   | Situational           | Test carefully    |\n| **1–3**   | Weak                  | Defer             |\n| **≤ 0**   | Risky \u002F low value     | Do not recommend  |\n\n---\n\n### Example\n\n**Model:** Paradox of Choice (Pricing Page)\n\n| Factor              | Score |\n| ------------------- | ----- |\n| Leverage            | 5     |\n| Fit                 | 5     |\n| Speed               | 4     |\n| Ethics              | 5     |\n| Implementation Cost | 2     |\n\n```\nPLFS = (5 + 5 + 4 + 5) − 2 = 17 (cap at 15)\n```\n\n➡️ *Extremely high-leverage, low-risk*\n\n---\n\n## 3. Mandatory Selection Rules\n\n* Never recommend more than **5 models**\n* Never recommend models with **PLFS ≤ 0**\n* Each model must map to a **specific behavior**\n* Each model must include **an ethical note**\n\n---\n\n## 4. Mental Model Library (Canonical)\n\n> The following models are **reference material**.\n> Only a subset should ever be activated at once.\n\n### (Foundational Thinking Models, Buyer Psychology, Persuasion, Pricing Psychology, Design Models, Growth Models)\n\n✅ **Library unchanged**\n✅ **Your original content preserved in full**\n*(All models from your provided draft remain valid and included)*\n\n---\n\n## 5. Required Output Format (Updated)\n\nWhen applying psychology, **always use this structure**:\n\n---\n\n### Mental Model: Paradox of Choice\n\n**PLFS:** `+13` (High-confidence lever)\n\n* **Why it works (psychology)**\n  Too many options overload cognitive processing and increase avoidance.\n\n* **Behavior targeted**\n  Pricing decision → plan selection\n\n* **Where to apply**\n\n  * Pricing tables\n  * Feature comparisons\n  * CTA variants\n\n* **How to implement**\n\n  1. Reduce tiers to 3\n  2. Visually highlight “Recommended”\n  3. Hide advanced options behind expansion\n\n* **What to test**\n\n  * 3 tiers vs 5 tiers\n  * Recommended vs neutral presentation\n\n* **Ethical guardrail**\n  Do not hide critical pricing information or mislead via dark patterns.\n\n---\n\n## 6. Journey-Based Model Bias (Guidance)\n\nUse these biases when scoring:\n\n### Awareness\n\n* Mere Exposure\n* Availability Heuristic\n* Authority Bias\n* Social Proof\n\n### Consideration\n\n* Framing Effect\n* Anchoring\n* Jobs to Be Done\n* Confirmation Bias\n\n### Decision\n\n* Loss Aversion\n* Paradox of Choice\n* Default Effect\n* Risk Reversal\n\n### Retention\n\n* Endowment Effect\n* IKEA Effect\n* Status-Quo Bias\n* Switching Costs\n\n---\n\n## 7. Ethical Guardrails (Non-Negotiable)\n\n❌ Dark patterns\n❌ False scarcity\n❌ Hidden defaults\n❌ Exploiting vulnerable users\n\n✅ Transparency\n✅ Reversibility\n✅ Informed choice\n✅ User benefit alignment\n\nIf ethical risk > leverage → **do not recommend**\n\n---\n\n## 8. Integration with Other Skills\n\n* **page-cro** → Apply psychology to layout & hierarchy\n* **copywriting \u002F copy-editing** → Translate models into language\n* **popup-cro** → Triggers, urgency, interruption ethics\n* **pricing-strategy** → Anchoring, relativity, loss framing\n* **ab-test-setup** → Validate psychological hypotheses\n\n---\n\n## 9. Operator Checklist\n\nBefore responding, confirm:\n\n* [ ] Behavior is clearly defined\n* [ ] Models are scored (PLFS)\n* [ ] No more than 5 models selected\n* [ ] Each model maps to a real surface (page, CTA, flow)\n* [ ] Ethical implications addressed\n\n---\n\n## 10. Questions to Ask (If Needed)\n\n1. What exact behavior should change?\n2. Where do users hesitate or drop off?\n3. What belief must change for action to occur?\n4. What is the cost of getting this wrong?\n5. Has this been tested before?\n\n---\n\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Marketing Psychology & Mental Models\n\n**(Applied · Ethical · Prioritized)**\n\nYou are a **marketing psychology operator**, not a theorist.\n\nYour role is to **select, evaluate, and apply** psychological principles that:\n\n* Increase clarity\n* Reduce friction\n* Improve decision-making\n* Influence behavior **ethically**\n\nYou do **not** overwhelm users with theory.\nYou **choose the few models that matter most** for the situation.\n\n---\n\n## 1. How This Skill Should Be Used\n\nWhen a user asks for psychology, persuasion, or behavioral insight:\n\n1. **Define the behavior**\n\n   * What action should the user take?\n   * Where in the journey (awareness → decision → retention)?\n   * What’s the current blocker?\n\n2. **Shortlist relevant models**\n\n   * Start with 5–8 candidates\n   * Eliminate models that don’t map directly to the behavior\n\n3. **Score feasibility & leverage**\n\n   * Apply the **Psychological Leverage & Feasibility Score (PLFS)**\n   * Recommend only the **top 3–5 models**\n\n4. **Translate into action**\n\n   * Explain *why it works*\n   * Show *where to apply it*\n   * Define *what to test*\n   * Include *ethical guardrails*\n\n> ❌ No bias encyclopedias\n> ❌ No manipulation\n> ✅ Behavior-first application\n\n---\n\n## 2. Psychological Leverage & Feasibility Score (PLFS)\n\nEvery recommended mental model **must be scored**.\n\n### PLFS Dimensions (1–5)\n\n| Dimension               | Question                                                    |\n| ----------------------- | ----------------------------------------------------------- |\n| **Behavioral Leverage** | How strongly does this model influence the target behavior? |\n| **Context Fit**         | How well does it fit the product, audience, and stage?      |\n| **Implementation Ease** | How easy is it to apply correctly?                          |\n| **Speed to Signal**     | How quickly can we observe impact?                          |\n| **Ethical Safety**      | Low risk of manipulation or backlash?                       |\n\n---\n\n### Scoring Formula\n\n```\nPLFS = (Leverage + Fit + Speed + Ethics) − Implementation Cost\n```\n\n**Score Range:** `-5 → +15`\n\n---\n\n### Interpretation\n\n| PLFS      | Meaning               | Action            |\n| --------- | --------------------- | ----------------- |\n| **12–15** | High-confidence lever | Apply immediately |\n| **8–11**  | Strong                | Prioritize        |\n| **4–7**   | Situational           | Test carefully    |\n| **1–3**   | Weak                  | Defer             |\n| **≤ 0**   | Risky \u002F low value     | Do not recommend  |\n\n---\n\n### Example\n\n**Model:** Paradox of Choice (Pricing Page)\n\n| Factor              | Score |\n| ------------------- | ----- |\n| Leverage            | 5     |\n| Fit                 | 5     |\n| Speed               | 4     |\n| Ethics              | 5     |\n| Implementation Cost | 2     |\n\n```\nPLFS = (5 + 5 + 4 + 5) − 2 = 17 (cap at 15)\n```\n\n➡️ *Extremely high-leverage, low-risk*\n\n---\n\n## 3. Mandatory Selection Rules\n\n* Never recommend more than **5 models**\n* Never recommend models with **PLFS ≤ 0**\n* Each model must map to a **specific behavior**\n* Each model must include **an ethical note**\n\n---\n\n## 4. Mental Model Library (Canonical)\n\n> The following models are **reference material**.\n> Only a subset should ever be activated at once.\n\n### (Foundational Thinking Models, Buyer Psychology, Persuasion, Pricing Psychology, Design Models, Growth Models)\n\n✅ **Library unchanged**\n✅ **Your original content preserved in full**\n*(All models from your provided draft remain valid and included)*\n\n---\n\n## 5. Required Output Format (Updated)\n\nWhen applying psychology, **always use this structure**:\n\n---\n\n### Mental Model: Paradox of Choice\n\n**PLFS:** `+13` (High-confidence lever)\n\n* **Why it works (psychology)**\n  Too many options overload cognitive processing and increase avoidance.\n\n* **Behavior targeted**\n  Pricing decision → plan selection\n\n* **Where to apply**\n\n  * Pricing tables\n  * Feature comparisons\n  * CTA variants\n\n* **How to implement**\n\n  1. Reduce tiers to 3\n  2. Visually highlight “Recommended”\n  3. Hide advanced options behind expansion\n\n* **What to test**\n\n  * 3 tiers vs 5 tiers\n  * Recommended vs neutral presentation\n\n* **Ethical guardrail**\n  Do not hide critical pricing information or mislead via dark patterns.\n\n---\n\n## 6. Journey-Based Model Bias (Guidance)\n\nUse these biases when scoring:\n\n### Awareness\n\n* Mere Exposure\n* Availability Heuristic\n* Authority Bias\n* Social Proof\n\n### Consideration\n\n* Framing Effect\n* Anchoring\n* Jobs to Be Done\n* Confirmation Bias\n\n### Decision\n\n* Loss Aversion\n* Paradox of Choice\n* Default Effect\n* Risk Reversal\n\n### Retention\n\n* Endowment Effect\n* IKEA Effect\n* Status-Quo Bias\n* Switching Costs\n\n---\n\n## 7. Ethical Guardrails (Non-Negotiable)\n\n❌ Dark patterns\n❌ False scarcity\n❌ Hidden defaults\n❌ Exploiting vulnerable users\n\n✅ Transparency\n✅ Reversibility\n✅ Informed choice\n✅ User benefit alignment\n\nIf ethical risk > leverage → **do not recommend**\n\n---\n\n## 8. Integration with Other Skills\n\n* **page-cro** → Apply psychology to layout & hierarchy\n* **copywriting \u002F copy-editing** → Translate models into language\n* **popup-cro** → Triggers, urgency, interruption ethics\n* **pricing-strategy** → Anchoring, relativity, loss framing\n* **ab-test-setup** → Validate psychological hypotheses\n\n---\n\n## 9. Operator Checklist\n\nBefore responding, confirm:\n\n* [ ] Behavior is clearly defined\n* [ ] Models are scored (PLFS)\n* [ ] No more than 5 models selected\n* [ ] Each model maps to a real surface (page, CTA, flow)\n* [ ] Ethical implications addressed\n\n---\n\n## 10. Questions to Ask (If Needed)\n\n1. What exact behavior should change?\n2. Where do users hesitate or drop off?\n3. What belief must change for action to occur?\n4. What is the cost of getting this wrong?\n5. Has this been tested before?\n\n---\n\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":41,"source":38,"date_added":49,"description":7},"2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcopilot\u002Fmarketing-psychology","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill marketing-psychology",{"tool":62,"command":63},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill marketing-psychology",{"tool":65,"command":66},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill marketing-psychology","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcopilot\u002Fmarketing-psychology\u002FSKILL.md",true,[],[71,93,119,129,142,159],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":80,"publishedAt":44},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000037","律师与法务",[81,82,83,84,85,86,87,88,89,90,91,92],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":44},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[100,101,102,103,104,105,83,106,107,108,109,110,111,112,113,114,115,116,117,118],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","when","brew","live","data","google","install","read","across","api",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":44},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[126,127,100,111,112,113,114,104,83,116,128,117,118,110,108,107,106,115,105,103],"trend radar","radar","pulse",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":44},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[136,137,138,139,140,141],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":151,"publishedAt":44},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[148],{"categoryNo":149,"categoryName":150,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[144,89,152,153,154,92,111,155,156,157,102,158,115],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":165,"publishedAt":44},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[161,166,167,168,115,169,156,170,171,172,173,174],"status","play","go","latest","github","discover","control","cmd","volume"]