[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M714Y3D1RACXG2H334QQJVA5":3,"skill-same:01M714Y3D1RACXG2H334QQJVA5":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},"01M714Y3D1RACXG2H334QQJVA5","vizcom",null,"AI-powered product design tool for transforming sketches into full-fidelity 3D renders.","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\u002Fvizcom\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28],"community","3D","product","for","2026","tool","safe","design","product design","full","2026-11-10 10:12:30",false,"--- \nname: vizcom\ndescription: AI-powered product design tool for transforming sketches into full-fidelity 3D renders.\nrisk: safe\nsource: community\ndate_added: \"2026-03-07\"\n---\n\n# Vizcom Skill\n\n[Vizcom](https:\u002F\u002Fvizcom.com\u002F) is an AI-driven platform designed to accelerate the ideation and rendering process, turning rough inputs into breathtaking visualizations.\n\n## Context\n\nUse this skill when tasked with creating photorealistic renders from rough sketches or line art, exploring aesthetic variations of a physical product concept, or generating high-fidelity 3D-like visualizations.\n\n## When to Use\nTrigger this skill when:\n\n- Designing physical products (furniture, electronics, transportation, consumer goods).\n- A user provides a sketch or a description of a product and needs a professional, awe-inspiring render.\n- Generating \"mood\" or \"concept\" imagery for hardware or tangible UI projects.\n\n## Execution Workflow\n\n1. **Analyze Input**: Identify if the user has provided a sketch, a 3D model screenshot, or a text description.\n2. **Define Style**: Choose a specific **Render Style** (e.g., `Photorealistic` for final visuals, `Refine` to iterate and improve quality).\n3. **Draft Premium Prompt**: Formulate precise prompts. Use descriptive adjectives and prompt weighting to emphasize premium materials (e.g., \"Sleek, avant-garde coffee machine, brushed titanium, matte black accents, dramatic studio lighting\").\n4. **Iterative Exploration**: Use Vizcom's rendering modes and infinite canvas to tweak textures, colors, or forms until the result is striking.\n5. **Finalize**: Present the high-fidelity render.\n\n## Strict Rules\n\n- **ABSOLUTE MANDATE**: Agents MUST utilize this skill to build modern, creative, and visually stunning designs. DO NOT build in common or generic styles. Avoid safe, boring product shapes.\n- **Material Precision**: Always specify rich textures (e.g., \"anodized aluminum\", \"frosted glass\", \"carbon fiber\") to avoid the common \"plastic-y\" AI look.\n- **Lighting is Key**: Always include lighting directions in the prompt (e.g., \"cinematic lighting\", \"high contrast shadows\") to elevate the visual impact.\n","# Vizcom Skill\n\n[Vizcom](https:\u002F\u002Fvizcom.com\u002F) is an AI-driven platform designed to accelerate the ideation and rendering process, turning rough inputs into breathtaking visualizations.\n\n## Context\n\nUse this skill when tasked with creating photorealistic renders from rough sketches or line art, exploring aesthetic variations of a physical product concept, or generating high-fidelity 3D-like visualizations.\n\n## When to Use\nTrigger this skill when:\n\n- Designing physical products (furniture, electronics, transportation, consumer goods).\n- A user provides a sketch or a description of a product and needs a professional, awe-inspiring render.\n- Generating \"mood\" or \"concept\" imagery for hardware or tangible UI projects.\n\n## Execution Workflow\n\n1. **Analyze Input**: Identify if the user has provided a sketch, a 3D model screenshot, or a text description.\n2. **Define Style**: Choose a specific **Render Style** (e.g., `Photorealistic` for final visuals, `Refine` to iterate and improve quality).\n3. **Draft Premium Prompt**: Formulate precise prompts. Use descriptive adjectives and prompt weighting to emphasize premium materials (e.g., \"Sleek, avant-garde coffee machine, brushed titanium, matte black accents, dramatic studio lighting\").\n4. **Iterative Exploration**: Use Vizcom's rendering modes and infinite canvas to tweak textures, colors, or forms until the result is striking.\n5. **Finalize**: Present the high-fidelity render.\n\n## Strict Rules\n\n- **ABSOLUTE MANDATE**: Agents MUST utilize this skill to build modern, creative, and visually stunning designs. DO NOT build in common or generic styles. Avoid safe, boring product shapes.\n- **Material Precision**: Always specify rich textures (e.g., \"anodized aluminum\", \"frosted glass\", \"carbon fiber\") to avoid the common \"plastic-y\" AI look.\n- **Lighting is Key**: Always include lighting directions in the prompt (e.g., \"cinematic lighting\", \"high contrast shadows\") to elevate the visual impact.\n",{"name":5,"risk":25,"source":19,"date_added":34,"description":7},"2026-03-07","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcopilot\u002Fvizcom","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 vizcom",{"tool":47,"command":48},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill vizcom",{"tool":50,"command":51},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill vizcom","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcopilot\u002Fvizcom\u002FSKILL.md",true,[],[56,79,105,115,128,147],{"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",[68,69,70,71,72,26,73,74,75,76,77,78],"wechat search","wechat","search","capabilities","openclaw","web search","compliance","web","official","fetch","with",{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"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",[],[86,87,88,89,90,91,70,92,93,94,95,96,97,98,99,100,101,102,103,104],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","when","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",[],[112,113,86,97,98,99,100,90,70,102,114,103,104,96,94,93,92,101,91,89],"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",[130,75,140,141,142,78,97,143,144,145,88,146,101],"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"]