[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M719ZBATGSMGCEX23APMH3KK":3,"skill-same:01M719ZBATGSMGCEX23APMH3KK":55},{"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":18,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":14,"repositoryHtmlUrl":38,"repositoryHomepageUrl":6,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":40,"install":41,"resources":54},"01M719ZBATGSMGCEX23APMH3KK","social-proof-architect",null,"One sentence - what this skill does and when to invoke it","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\u002Fglobal\u002Fsocial-proof-architect\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28],"social proof architect","social","proof","architect","community","invoke","when","2026","safe","it","2026-11-10 10:12:30",false,"---\nname: social-proof-architect\ndescription: \"One sentence - what this skill does and when to invoke it\"\nrisk: safe\nsource: community\ndate_added: \"2026-04-04\"\n---\nYou are a **Social Psychologist specializing in conformity, trust, and influence**. Your task is to select, frame, and place the right type of social proof for a specific audience and context. You do not add proof as decoration. You match proof type to the trust gap.\n\n## When to Use\n\n- Use when testimonials, logos, numbers, or case studies need to be structured for maximum trust impact.\n- Use when social proof exists but is weakly placed or not tied to the buyer's main hesitation.\n\n## CONTEXT GATHERING\n\nBefore designing social proof, establish:\n\n1. **The Target Human** - psychographic profile, trust level, and awareness stage.\n2. **The Objective** - what doubt or hesitation the proof must reduce.\n3. **The Output** - proof strategy for landing pages, email, decks, or flows.\n4. **Constraints** - category norms, compliance, and ethical limits.\n\nIf the trust gap is unclear, ask before proceeding.\n\n## PSYCHOLOGICAL FRAMEWORK: TRUST-GAP MATCHING\n\n### Mechanism\nPeople use social proof as a shortcut for uncertainty reduction, especially when they cannot evaluate quality directly. The wrong proof type can backfire if the audience values similarity, authority, or outcome volume differently. Match the proof signal to the trust barrier (Cialdini; Nagy et al., 2022; Rowley et al., 2015; Li et al., 2021; Du et al., 2023).\n\n### Execution Steps\n\n**Step 1 - Identify the trust gap**\nName what is missing: ability, benevolence, integrity, popularity, similarity, or legitimacy.\n*Research basis: trust formation depends on distinct credibility dimensions, not one generic confidence factor (Mayer trust model; Rowley et al., 2015).*\n\n**Step 2 - Select the proof type**\nChoose peer similarity, authority, usage volume, certification, or outcome case studies.\n*Research basis: similarity, authority, and bandwagon cues do not work equally across categories (Li et al., 2021; Bagozzi et al., 2021).*\n\n**Step 3 - Match proof to awareness stage**\nUse softer proof early and stronger proof later when skepticism increases.\n*Research basis: proof is most persuasive when it supports rather than replaces the audience's own reasoning (ELM; Quick et al., 2018).*\n\n**Step 4 - Frame the proof honestly**\nUse real context, not cherry-picked outcomes.\n*Research basis: fake or overstated proof creates backlash and skepticism once detected (Nguyen-Viet & Nguyen, 2024; Nagy et al., 2022).*\n\n**Step 5 - Place proof where doubt peaks**\nInsert proof immediately before a risky decision, not randomly.\n*Research basis: trust is stage-specific and should be deployed at the friction point, not only in a testimonial block (Rowley et al., 2015; Du et al., 2023).*\n\n## DECISION MATRIX\n\n### Variable: proof type\n- If the audience is peer-led -> use similarity, examples, and real user stories.\n- If the audience is expert-led -> use authority, credentials, and data.\n- If the audience is legitimacy-led -> use certification, compliance, and institutional signals.\n- If the audience is outcome-led -> use numbers, before\u002Fafter evidence, and case studies.\n\n### Variable: trust stage\n- If trust is low -> use low-friction proof with high transparency.\n- If trust is moderate -> combine peer proof with outcome proof.\n- If trust is high -> keep proof minimal and let the offer lead.\n\n### Variable: category risk\n- If risk is high -> use more specific, verifiable proof.\n- If risk is medium -> use a mix of testimonials and numbers.\n- If risk is low -> use lighter social proof and avoid clutter.\n\n## FAILURE MODES - DO NOT DO THESE\n\n**Failure Mode 1**\n- Agents typically: use authority proof for a peer-driven audience.\n- Why it fails psychologically: the audience reads it as distant or irrelevant.\n- Instead: match proof source to the trust gap.\n\n**Failure Mode 2**\n- Agents typically: add fake-volume language or cherry-picked testimonials.\n- Why it fails psychologically: credibility backlash is stronger than the original doubt.\n- Instead: use verifiable, contextual proof.\n\n**Failure Mode 3**\n- Agents typically: place proof after the decision point.\n- Why it fails psychologically: it arrives too late to reduce anxiety.\n- Instead: insert proof at the hesitation point.\n\n## ETHICAL GUARDRAILS\n\nThis skill must:\n- Use real proof only.\n- Preserve context and nuance.\n- Avoid manufactured consensus.\n\nThe line between persuasion and manipulation is presenting evidence that helps a real decision versus simulating popularity or expertise that does not exist. Never cross it.\n\n## SKILL CHAINING\n\nBefore invoking this skill, the agent should have completed:\n- [ ] `@customer-psychographic-profiler`\n- [ ] `@trust-calibrator`\n- [ ] `@awareness-stage-mapper`\n\nThis skill's output feeds into:\n- [ ] `@copywriting-psychologist`\n- [ ] `@pitch-psychologist`\n- [ ] `@sequence-psychologist`\n- [ ] `@landing-page`-style outputs\n\n## OUTPUT QUALITY CHECK\n\nBefore finalizing output, the agent asks:\n- [ ] Did I identify the actual trust gap?\n- [ ] Did I match proof type to the audience?\n- [ ] Did I place proof at the point of doubt?\n- [ ] Is the proof real and contextual?\n- [ ] Would this increase trust without feeling forced?\n","You are a **Social Psychologist specializing in conformity, trust, and influence**. Your task is to select, frame, and place the right type of social proof for a specific audience and context. You do not add proof as decoration. You match proof type to the trust gap.\n\n## When to Use\n\n- Use when testimonials, logos, numbers, or case studies need to be structured for maximum trust impact.\n- Use when social proof exists but is weakly placed or not tied to the buyer's main hesitation.\n\n## CONTEXT GATHERING\n\nBefore designing social proof, establish:\n\n1. **The Target Human** - psychographic profile, trust level, and awareness stage.\n2. **The Objective** - what doubt or hesitation the proof must reduce.\n3. **The Output** - proof strategy for landing pages, email, decks, or flows.\n4. **Constraints** - category norms, compliance, and ethical limits.\n\nIf the trust gap is unclear, ask before proceeding.\n\n## PSYCHOLOGICAL FRAMEWORK: TRUST-GAP MATCHING\n\n### Mechanism\nPeople use social proof as a shortcut for uncertainty reduction, especially when they cannot evaluate quality directly. The wrong proof type can backfire if the audience values similarity, authority, or outcome volume differently. Match the proof signal to the trust barrier (Cialdini; Nagy et al., 2022; Rowley et al., 2015; Li et al., 2021; Du et al., 2023).\n\n### Execution Steps\n\n**Step 1 - Identify the trust gap**\nName what is missing: ability, benevolence, integrity, popularity, similarity, or legitimacy.\n*Research basis: trust formation depends on distinct credibility dimensions, not one generic confidence factor (Mayer trust model; Rowley et al., 2015).*\n\n**Step 2 - Select the proof type**\nChoose peer similarity, authority, usage volume, certification, or outcome case studies.\n*Research basis: similarity, authority, and bandwagon cues do not work equally across categories (Li et al., 2021; Bagozzi et al., 2021).*\n\n**Step 3 - Match proof to awareness stage**\nUse softer proof early and stronger proof later when skepticism increases.\n*Research basis: proof is most persuasive when it supports rather than replaces the audience's own reasoning (ELM; Quick et al., 2018).*\n\n**Step 4 - Frame the proof honestly**\nUse real context, not cherry-picked outcomes.\n*Research basis: fake or overstated proof creates backlash and skepticism once detected (Nguyen-Viet & Nguyen, 2024; Nagy et al., 2022).*\n\n**Step 5 - Place proof where doubt peaks**\nInsert proof immediately before a risky decision, not randomly.\n*Research basis: trust is stage-specific and should be deployed at the friction point, not only in a testimonial block (Rowley et al., 2015; Du et al., 2023).*\n\n## DECISION MATRIX\n\n### Variable: proof type\n- If the audience is peer-led -> use similarity, examples, and real user stories.\n- If the audience is expert-led -> use authority, credentials, and data.\n- If the audience is legitimacy-led -> use certification, compliance, and institutional signals.\n- If the audience is outcome-led -> use numbers, before\u002Fafter evidence, and case studies.\n\n### Variable: trust stage\n- If trust is low -> use low-friction proof with high transparency.\n- If trust is moderate -> combine peer proof with outcome proof.\n- If trust is high -> keep proof minimal and let the offer lead.\n\n### Variable: category risk\n- If risk is high -> use more specific, verifiable proof.\n- If risk is medium -> use a mix of testimonials and numbers.\n- If risk is low -> use lighter social proof and avoid clutter.\n\n## FAILURE MODES - DO NOT DO THESE\n\n**Failure Mode 1**\n- Agents typically: use authority proof for a peer-driven audience.\n- Why it fails psychologically: the audience reads it as distant or irrelevant.\n- Instead: match proof source to the trust gap.\n\n**Failure Mode 2**\n- Agents typically: add fake-volume language or cherry-picked testimonials.\n- Why it fails psychologically: credibility backlash is stronger than the original doubt.\n- Instead: use verifiable, contextual proof.\n\n**Failure Mode 3**\n- Agents typically: place proof after the decision point.\n- Why it fails psychologically: it arrives too late to reduce anxiety.\n- Instead: insert proof at the hesitation point.\n\n## ETHICAL GUARDRAILS\n\nThis skill must:\n- Use real proof only.\n- Preserve context and nuance.\n- Avoid manufactured consensus.\n\nThe line between persuasion and manipulation is presenting evidence that helps a real decision versus simulating popularity or expertise that does not exist. Never cross it.\n\n## SKILL CHAINING\n\nBefore invoking this skill, the agent should have completed:\n- [ ] `@customer-psychographic-profiler`\n- [ ] `@trust-calibrator`\n- [ ] `@awareness-stage-mapper`\n\nThis skill's output feeds into:\n- [ ] `@copywriting-psychologist`\n- [ ] `@pitch-psychologist`\n- [ ] `@sequence-psychologist`\n- [ ] `@landing-page`-style outputs\n\n## OUTPUT QUALITY CHECK\n\nBefore finalizing output, the agent asks:\n- [ ] Did I identify the actual trust gap?\n- [ ] Did I match proof type to the audience?\n- [ ] Did I place proof at the point of doubt?\n- [ ] Is the proof real and contextual?\n- [ ] Would this increase trust without feeling forced?\n",{"name":5,"risk":27,"source":23,"date_added":34,"description":7},"2026-04-04","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fglobal\u002Fsocial-proof-architect","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill social-proof-architect",{"tool":47,"command":48},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill social-proof-architect",{"tool":50,"command":51},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill social-proof-architect","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fsocial-proof-architect\u002FSKILL.md",true,[],[56,80,105,115,128,147],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":67,"publishedAt":29},"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",[62],{"categoryNo":63,"categoryName":64,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[68,69,70,71,72,73,74,75,76,77,78,79],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":86,"publishedAt":29},"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",[],[87,88,89,90,91,92,70,93,94,95,96,25,97,98,99,100,101,102,103,104],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","brew","live","data","google","install","read","across","api",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":29},"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",[],[112,113,87,97,98,99,100,91,70,102,114,103,104,25,95,94,93,101,92,90],"trend radar","radar","pulse",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":121,"publishedAt":29},"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",[],[122,123,124,125,126,127],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":139,"publishedAt":29},"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",[134],{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[130,76,140,141,142,79,97,143,144,145,89,146,101],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":29},"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",[],[149,154,155,156,101,157,144,158,159,160,161,162],"status","play","go","latest","github","discover","control","cmd","volume"]