[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MS9GEQZSMVBEXA84ZSAFCJ":3,"skill-same:01M6MS9GEQZSMVBEXA84ZSAFCJ":76},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":27,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":13,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":75},"01M6MS9GEQZSMVBEXA84ZSAFCJ","marketing-psychology",null,"Apply behavioral psychology, cognitive biases, and 70+ mental models to marketing for conversion optimization, pricing, copy, and campaigns. Use for persuasion, behavioral science, why people buy, consumer behavior, or neuromarketing.","JiayiV\u002Fquestion_mixing","JiayiV","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54466889?v=4","01M6JFJYYMRZ3QRGP9339JNQ2K","01M6JFJZ35KB0QVT50NAHPJA7G",0,"MIT","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fpublic-03-claude-skills-main-marketing-marketing-psychology-skill-1e18da96\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"marketing psychology","marketing","psychology","conversion","apply","for","people","copy","campaigns","buy","models","pricing","behavioral","use","behavior","why","science","Optimization","2026-11-10 10:12:30",false,"---\nname: marketing-psychology\ndescription: >\n  Apply behavioral psychology, cognitive biases, and 70+ mental models to\n  marketing for conversion optimization, pricing, copy, and campaigns. Use for\n  persuasion, behavioral science, why people buy, consumer behavior, or\n  neuromarketing.\nlicense: MIT\nmetadata:\n  version: 1.1.0\n  author: borghei\n  category: marketing\n  domain: psychology\n  updated: 2026-06-15\n---\n# Marketing Psychology\n\nApplied behavioral science for marketing — identifying which psychological principles apply to specific challenges and showing exactly how to implement them. The skill diagnoses behavioral barriers, prescribes 2-3 relevant principles from a catalog of 70+ mental models, and turns them into concrete, testable changes to landing pages, pricing, email, copy, and ads.\n\n## Core Capabilities\n\n- **Behavioral diagnosis** — map the decision journey, identify barriers (cognitive load, choice paralysis, trust deficit, friction), and prescribe matching principles\n- **Mental model catalog** — 70+ principles across buyer psychology, persuasion\u002Finfluence, pricing, design\u002FUX, and growth\n- **Application by challenge** — principle-by-principle playbooks for landing pages, pricing pages, email, churn reduction, and ad creative\n- **Pricing & conversion frameworks** — three-tier\u002Fdecoy pricing design, the trust cascade, the micro-commitment ladder\n- **Copy techniques** — loss vs. gain framing, specificity bias, future pacing\n- **Ethical application** — the persuasion\u002Fmanipulation line, anti-dark-pattern boundaries, A\u002FB testing discipline\n\n## When to Use\n\n- A page, pricing tier, email, or ad is underperforming and you need a behavioral root-cause diagnosis\n- You are designing or optimizing a pricing page (anchoring, decoy, charm pricing, tier structure)\n- You want to apply psychology to copy or campaign creative with specific, testable changes\n- You need to audit existing assets for missing persuasion principles or dark patterns\n\n## Quick Start\n\n### Diagnose Why Something Is Not Converting\n1. Identify the desired behavior (click, buy, share, return)\n2. Identify the current friction (too many choices, unclear value, no urgency)\n3. Map the visitor's emotional state (excited, skeptical, confused, impatient)\n4. Match to applicable principles from `references\u002Fmental-models.md`\n5. Implement 2-3 principle-based changes with specific execution\n\n### Apply Psychology to a Marketing Asset\n1. Select the asset (landing page, pricing page, email, ad)\n2. Review the applicable psychology in `references\u002Fapplication-playbooks.md`\n3. Choose 3-5 principles to apply\n4. Implement each with the specific technique described\n5. Measure the impact through A\u002FB testing\n\n## References\n\nLoad the reference that matches the task — keep this file lean and pull detail on demand:\n\n- **[references\u002Fmental-models.md](references\u002Fmental-models.md)** — full catalog of 70+ principles (buyer psychology, persuasion, pricing, design\u002FUX, growth) with definitions and marketing applications. Read when matching a barrier to the principle that addresses it.\n- **[references\u002Fapplication-playbooks.md](references\u002Fapplication-playbooks.md)** — behavioral diagnosis workflows, principle-by-challenge tables (landing pages, pricing, email, churn, ads), pricing framework, trust cascade, micro-commitment ladder, and copy techniques. Read when diagnosing a problem or applying psychology to an asset.\n- **[references\u002Fethics-and-quality.md](references\u002Fethics-and-quality.md)** — ethical guidelines (persuasion vs. manipulation), best practices, troubleshooting table, and success criteria. Read when judging whether a technique is ethical or hardening an implementation.\n\n## Python Automation Tools\n\n- **`scripts\u002Fpersuasion_auditor.py`** — audits copy for Cialdini's 7 principles plus behavioral economics techniques; flags what's applied and what's missing.\n- **`scripts\u002Fcognitive_bias_checker.py`** — identifies cognitive biases leveraged (or missed) in copy, pricing pages, and landing pages.\n- **`scripts\u002Fpricing_psychology_analyzer.py`** — analyzes pricing page structure for anchoring, decoy effect, charm pricing, framing, and tier design.\n\n```bash\npython scripts\u002Fpersuasion_auditor.py page.html\npython scripts\u002Fcognitive_bias_checker.py pricing_page.html --json\npython scripts\u002Fpricing_psychology_analyzer.py pricing.json\n```\n\n## Scope & Limitations\n\n**In Scope:** Behavioral psychology principles applied to marketing, conversion optimization, pricing strategy, copy improvement, campaign design. 70+ mental models with implementation guides.\n\n**Out of Scope:** Academic psychology research, clinical applications, UX research methodology (use product-team), A\u002FB test statistical analysis tools, consumer psychology outside marketing context.\n\n**Limitations:** Psychology provides hypotheses, not certainties. All changes must be A\u002FB tested. What works for consumer SaaS may not work for enterprise. Cultural context matters significantly. Principles should be applied ethically — persuasion that helps customers make good decisions, not manipulation.\n\n## Integration Points\n\n- **Copywriting** — Apply psychological principles when writing page copy (headlines, CTAs, objection handling).\n- **Landing Page Generator** — Use psychology to guide page structure and section ordering.\n- **Paid Ads** — Apply ad-specific psychology (mere exposure, contrast effect, curiosity gap) to creative.\n- **Pricing** — Apply pricing psychology (anchoring, decoy, charm pricing) to pricing page design.\n- **Copy Editing** — Use the Heightened Emotion sweep to apply psychology during editorial review.\n- **Marketing Context** — Understanding customer psychology informs positioning and messaging strategy.\n","# Marketing Psychology\n\nApplied behavioral science for marketing — identifying which psychological principles apply to specific challenges and showing exactly how to implement them. The skill diagnoses behavioral barriers, prescribes 2-3 relevant principles from a catalog of 70+ mental models, and turns them into concrete, testable changes to landing pages, pricing, email, copy, and ads.\n\n## Core Capabilities\n\n- **Behavioral diagnosis** — map the decision journey, identify barriers (cognitive load, choice paralysis, trust deficit, friction), and prescribe matching principles\n- **Mental model catalog** — 70+ principles across buyer psychology, persuasion\u002Finfluence, pricing, design\u002FUX, and growth\n- **Application by challenge** — principle-by-principle playbooks for landing pages, pricing pages, email, churn reduction, and ad creative\n- **Pricing & conversion frameworks** — three-tier\u002Fdecoy pricing design, the trust cascade, the micro-commitment ladder\n- **Copy techniques** — loss vs. gain framing, specificity bias, future pacing\n- **Ethical application** — the persuasion\u002Fmanipulation line, anti-dark-pattern boundaries, A\u002FB testing discipline\n\n## When to Use\n\n- A page, pricing tier, email, or ad is underperforming and you need a behavioral root-cause diagnosis\n- You are designing or optimizing a pricing page (anchoring, decoy, charm pricing, tier structure)\n- You want to apply psychology to copy or campaign creative with specific, testable changes\n- You need to audit existing assets for missing persuasion principles or dark patterns\n\n## Quick Start\n\n### Diagnose Why Something Is Not Converting\n1. Identify the desired behavior (click, buy, share, return)\n2. Identify the current friction (too many choices, unclear value, no urgency)\n3. Map the visitor's emotional state (excited, skeptical, confused, impatient)\n4. Match to applicable principles from `references\u002Fmental-models.md`\n5. Implement 2-3 principle-based changes with specific execution\n\n### Apply Psychology to a Marketing Asset\n1. Select the asset (landing page, pricing page, email, ad)\n2. Review the applicable psychology in `references\u002Fapplication-playbooks.md`\n3. Choose 3-5 principles to apply\n4. Implement each with the specific technique described\n5. Measure the impact through A\u002FB testing\n\n## References\n\nLoad the reference that matches the task — keep this file lean and pull detail on demand:\n\n- **[references\u002Fmental-models.md](references\u002Fmental-models.md)** — full catalog of 70+ principles (buyer psychology, persuasion, pricing, design\u002FUX, growth) with definitions and marketing applications. Read when matching a barrier to the principle that addresses it.\n- **[references\u002Fapplication-playbooks.md](references\u002Fapplication-playbooks.md)** — behavioral diagnosis workflows, principle-by-challenge tables (landing pages, pricing, email, churn, ads), pricing framework, trust cascade, micro-commitment ladder, and copy techniques. Read when diagnosing a problem or applying psychology to an asset.\n- **[references\u002Fethics-and-quality.md](references\u002Fethics-and-quality.md)** — ethical guidelines (persuasion vs. manipulation), best practices, troubleshooting table, and success criteria. Read when judging whether a technique is ethical or hardening an implementation.\n\n## Python Automation Tools\n\n- **`scripts\u002Fpersuasion_auditor.py`** — audits copy for Cialdini's 7 principles plus behavioral economics techniques; flags what's applied and what's missing.\n- **`scripts\u002Fcognitive_bias_checker.py`** — identifies cognitive biases leveraged (or missed) in copy, pricing pages, and landing pages.\n- **`scripts\u002Fpricing_psychology_analyzer.py`** — analyzes pricing page structure for anchoring, decoy effect, charm pricing, framing, and tier design.\n\n```bash\npython scripts\u002Fpersuasion_auditor.py page.html\npython scripts\u002Fcognitive_bias_checker.py pricing_page.html --json\npython scripts\u002Fpricing_psychology_analyzer.py pricing.json\n```\n\n## Scope & Limitations\n\n**In Scope:** Behavioral psychology principles applied to marketing, conversion optimization, pricing strategy, copy improvement, campaign design. 70+ mental models with implementation guides.\n\n**Out of Scope:** Academic psychology research, clinical applications, UX research methodology (use product-team), A\u002FB test statistical analysis tools, consumer psychology outside marketing context.\n\n**Limitations:** Psychology provides hypotheses, not certainties. All changes must be A\u002FB tested. What works for consumer SaaS may not work for enterprise. Cultural context matters significantly. Principles should be applied ethically — persuasion that helps customers make good decisions, not manipulation.\n\n## Integration Points\n\n- **Copywriting** — Apply psychological principles when writing page copy (headlines, CTAs, objection handling).\n- **Landing Page Generator** — Use psychology to guide page structure and section ordering.\n- **Paid Ads** — Apply ad-specific psychology (mere exposure, contrast effect, curiosity gap) to creative.\n- **Pricing** — Apply pricing psychology (anchoring, decoy, charm pricing) to pricing page design.\n- **Copy Editing** — Use the Heightened Emotion sweep to apply psychology during editorial review.\n- **Marketing Context** — Understanding customer psychology informs positioning and messaging strategy.\n",{"name":5,"license":14,"metadata":51,"description":55},{"author":52,"domain":30,"updated":53,"version":54,"category":29},"borghei",1781481600000,"1.1.0","Apply behavioral psychology, cognitive biases, and 70+ mental models to marketing for conversion optimization, pricing, copy, and campaigns. Use for persuasion, behavioral science, why people buy, consumer behavior, or neuromarketing.\n","main","068c2486ccc0f8d200a3db4d21ec137064eda3b4","skills\u002Fpublic-03-claude-skills-main-marketing-marketing-psychology-skill-1e18da96","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing","https:\u002F\u002Fgithub.com\u002FJiayiV","2026-08-25 16:30:52",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add JiayiV\u002Fquestion_mixing --skill marketing-psychology",{"tool":68,"command":69},"bunx","bunx skills add JiayiV\u002Fquestion_mixing --skill marketing-psychology",{"tool":71,"command":72},"pnpm","pnpm dlx skills add JiayiV\u002Fquestion_mixing --skill marketing-psychology","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fpublic-03-claude-skills-main-marketing-marketing-psychology-skill-1e18da96\u002FSKILL.md",true,[],[77,101,129,160,188,221],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":46},"01M6NN9PJS9NHWPDG4QP93BP8F","webmcpify","Make a web app agent-ready — propose a WebMCP tool manifest, integrate, verify in a real browser, heal; unrelated code stays untouched. Use for \"webmcpify\", \"add WebMCP\", or \"expose app actions to AI agents\".","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fwebmcpify\u002FSKILL.md",[],[79,84,85,86,87,88,89,90,91,92,93,94,95,41,96,97,98,99,33,100],"github","ai agents","web","notes","code","browser","https","actions","manifest","inventory","verify","tool","ready","unrelated","app","scope","webmcp",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":105,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":46},"01M6NN6KZE5RBN6NGHN2WXV1RE","vardoger-analyze","Use when the user asks to personalize the GitHub Copilot CLI assistant, adapt Copilot to their style, use vardoger, or analyze their Copilot CLI conversation history. Reads the local session directory at `~\u002F.copilot\u002Fsession-state\u002F`, extracts recurring preferences and conventions, and writes a fenced personalization block into `~\u002F.copilot\u002Fcopilot-instructions.md`. Runs entirely on the user's machine via the local `vardoger` CLI (`pipx install vardoger`); no network calls and no uploads. Triggers: 'personalize my copilot', 'analyze my copilot history', 'tailor copilot to me', 'run vardoger', 'update my copilot instructions from history', 'make copilot learn my style'.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fvardoger-analyze\u002FSKILL.md",[],[109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128],"vardoger analyze","analyze","directory","cli","github copilot","copilot","run","update","learn","network","my style","install","conversation","me","local","github copilot cli","pipx","my","at","copilot instructions",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":141,"publishedAt":46},"01M6NN3CZGQP3XAJ04BM1NNYGT","transloadit-media-processing","Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Ftransloadit-media-processing\u002FSKILL.md",[135,138],{"categoryNo":136,"categoryName":137,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":139,"categoryName":140,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[142,143,144,145,146,147,148,149,150,151,152,153,154,41,155,156,157,158,33,159],"transloadit media processing","Media","media processing","processing","MCP","mcp server","documents","subtitles","pipeline","ocr","Video","Audio","mp4","images","files","transformation","free","hls",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":169,"publishedAt":46},"01M6NN28E92F9GH4WFYQ2H1Y15","terraform-azurerm-set-diff-analyzer","Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fterraform-azurerm-set-diff-analyzer\u002FSKILL.md",[166],{"categoryNo":167,"categoryName":168,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",[170,171,172,173,174,175,176,177,178,41,179,180,181,182,183,184,185,186,187,33],"terraform","SET","terraform azurerm set diff analyzer","diff","analyzer","diffs","azure","gateway","firewall","only","resource changes","provider","resources","load balancer","attributes","front","load","balancer",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":203,"publishedAt":46},"01M6NN1QMH2TDYWTH3XY3N5XPV","technical-job-search","Use this skill when a software engineer asks for help with job search tasks: parsing or analyzing a job description, tailoring a CV\u002Fresume, writing a cover letter, evaluating a job offer, or drafting a post-interview follow-up email. Do not activate for general career advice unrelated to an active job search action.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Ftechnical-job-search\u002FSKILL.md",[194,197,200],{"categoryNo":195,"categoryName":196,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":198,"categoryName":199,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000036","内容创作者",{"categoryNo":201,"categoryName":202,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000038","人力资源",[204,205,206,207,208,209,210,211,110,212,41,213,214,215,216,217,218,219,33,220],"search","Job Search","technical job search","technical","writing","tasks","email","parsing","interview","up","engineer","general","activate","do","task","cv","letter",{"skillNo":222,"name":223,"nameZh":6,"description":224,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":225,"categories":226,"keywords":227,"publishedAt":46},"01M6NMZFA67XYS1GS09WT42235","steno-mode","Shorthand-first response compression that cuts ~40% of response tokens while preserving technical precision and exact literals. Use when the user says \"steno mode\", \"shorthand mode\", \"compressed responses\", \"token reduction\", \"brief structured output\", or invokes \u002Fsteno. Supports four compression levels: lite, brief, court, machine. Do not trigger for requests needing polished prose such as onboarding\u002Ftutorial content, stakeholder or customer-facing copy, or teaching-focused explanations.","https:\u002F\u002Fgithub.com\u002FJiayiV\u002Fquestion_mixing\u002Fblob\u002Fmain\u002Fskills\u002Fsteno-mode\u002FSKILL.md",[],[228,229,230,231,232,207,233,41,217,234,235,236,237,238,239,240,241,242,33,243],"steno mode","mode","customer","brief","first","tutorial","teaching","tokens","as","trigger","structured output","machine","output","court","requests","response compression"]