[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7171REVN8ZKY2FS6N4EXGGM":3,"skill-same:01M7171REVN8ZKY2FS6N4EXGGM":79},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":14,"repositoryHtmlUrl":62,"repositoryHomepageUrl":6,"ownerHtmlUrl":63,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":64,"install":65,"resources":78},"01M7171REVN8ZKY2FS6N4EXGGM","seek-and-analyze-video",null,"Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence","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\u002Fcursor\u002Fseek-and-analyze-video\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"analyze video","seek and analyze video","Video","analyze","youtube","2026","for","video content","memories","intelligence","social","tiktok","safe","model","Media","social-media","analysis","data","memory","gemini","2026-11-10 10:12:30",false,"---\nname: seek-and-analyze-video\ndescription: \"Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence\"\ncategory: data-ai\nrisk: safe\nsource: \"https:\u002F\u002Fgithub.com\u002Fkennyzheng-builds\u002Fseek-and-analyze-video\"\ndate_added: \"2026-03-09\"\nauthor: kennyzheng-builds\ntags: [video, ai, memories, social-media, youtube, tiktok, analysis]\ntools: [claude, cursor, gemini]\n---\n\n## When to Use\nUse this skill when the user wants to search for, import, or analyze video content from TikTok, YouTube, or Instagram, summarize meetings or lectures from recordings, build a searchable knowledge base from video content, or research social media trends and creators.\n\n# Seek and Analyze Video\n\n## Description\n\nThis skill enables AI agents to search, import, and analyze video content using Memories.ai's Large Visual Memory Model (LVMM). Unlike one-shot video analysis tools, it provides persistent video intelligence -- videos are indexed once and can be queried repeatedly across sessions. Supports social media import (TikTok, YouTube, Instagram), meeting summarization, knowledge base building, and cross-video Q&A via Memory Augmented Generation (MAG).\n\n## Overview\n\nThe skill wraps 21 API commands into workflow-oriented reference guides that agents load on demand. A routing table in SKILL.md maps user intent to the right workflow automatically.\n\n## When to Use This Skill\n\n- Use when analyzing or asking questions about a video from a URL\n- Use when searching for videos on TikTok, YouTube, or Instagram by topic, hashtag, or creator\n- Use when summarizing meetings, lectures, or webinars from recordings\n- Use when building a searchable knowledge base from video content and text memories\n- Use when researching social media content trends, influencers, or viral patterns\n- Use when analyzing or describing images with AI vision\n\n## How It Works\n\n### Step 1: Intent Detection\n\nThe agent reads the SKILL.md workflow router and matches the user's request to one of 6 intent categories.\n\n### Step 2: Reference Loading\n\nThe agent loads the appropriate reference file (e.g., video_qa.md for video questions, social_research.md for social media research).\n\n### Step 3: Workflow Execution\n\nThe agent follows the step-by-step workflow: upload\u002Fimport -> wait for processing -> analyze\u002Fchat -> present results.\n\n## Examples\n\n### Example 1: Video Q&A\n\n```\nUser: \"What are the key arguments in this video? https:\u002F\u002Fyoutube.com\u002Fwatch?v=abc123\"\nAgent: uploads video -> waits for processing -> uses chat_video to ask questions -> presents structured summary\n```\n\n### Example 2: Social Media Research\n\n```\nUser: \"What's trending on TikTok about sustainable fashion?\"\nAgent: uses search_public to find trending videos -> imports top results -> analyzes content patterns\n```\n\n### Example 3: Meeting Notes\n\n```\nUser: \"Summarize this meeting recording and extract action items\"\nAgent: uploads recording -> waits -> gets transcript -> uses chat_video for structured summary with action items\n```\n\n## Best Practices\n\n- Always wait for video processing to complete before querying\n- Use caption_video for quick analysis (no upload needed)\n- Use chat_video for deep, multi-turn analysis (requires upload)\n- Use search_audio to find specific moments or quotes in a video\n- Use memory_add to store important findings for later retrieval\n\n## Common Pitfalls\n\n- **Problem:** Querying a video before processing completes\n  **Solution:** Always use the `wait` command after upload before any analysis\n\n- **Problem:** Uploading a video when only a quick caption is needed\n  **Solution:** Use `caption_video` for one-off analysis; only upload for repeated queries\n\n## Limitations\n\n- Video processing takes 1-5 minutes depending on length\n- Free tier limited to 100 credits\n- Social media import requires public content\n- Audio search only works on processed videos\n\n## Related Skills\n\n- Video analysis tools for one-shot analysis\n- Web search skills for non-video content research\n","## When to Use\nUse this skill when the user wants to search for, import, or analyze video content from TikTok, YouTube, or Instagram, summarize meetings or lectures from recordings, build a searchable knowledge base from video content, or research social media trends and creators.\n\n# Seek and Analyze Video\n\n## Description\n\nThis skill enables AI agents to search, import, and analyze video content using Memories.ai's Large Visual Memory Model (LVMM). Unlike one-shot video analysis tools, it provides persistent video intelligence -- videos are indexed once and can be queried repeatedly across sessions. Supports social media import (TikTok, YouTube, Instagram), meeting summarization, knowledge base building, and cross-video Q&A via Memory Augmented Generation (MAG).\n\n## Overview\n\nThe skill wraps 21 API commands into workflow-oriented reference guides that agents load on demand. A routing table in SKILL.md maps user intent to the right workflow automatically.\n\n## When to Use This Skill\n\n- Use when analyzing or asking questions about a video from a URL\n- Use when searching for videos on TikTok, YouTube, or Instagram by topic, hashtag, or creator\n- Use when summarizing meetings, lectures, or webinars from recordings\n- Use when building a searchable knowledge base from video content and text memories\n- Use when researching social media content trends, influencers, or viral patterns\n- Use when analyzing or describing images with AI vision\n\n## How It Works\n\n### Step 1: Intent Detection\n\nThe agent reads the SKILL.md workflow router and matches the user's request to one of 6 intent categories.\n\n### Step 2: Reference Loading\n\nThe agent loads the appropriate reference file (e.g., video_qa.md for video questions, social_research.md for social media research).\n\n### Step 3: Workflow Execution\n\nThe agent follows the step-by-step workflow: upload\u002Fimport -> wait for processing -> analyze\u002Fchat -> present results.\n\n## Examples\n\n### Example 1: Video Q&A\n\n```\nUser: \"What are the key arguments in this video? https:\u002F\u002Fyoutube.com\u002Fwatch?v=abc123\"\nAgent: uploads video -> waits for processing -> uses chat_video to ask questions -> presents structured summary\n```\n\n### Example 2: Social Media Research\n\n```\nUser: \"What's trending on TikTok about sustainable fashion?\"\nAgent: uses search_public to find trending videos -> imports top results -> analyzes content patterns\n```\n\n### Example 3: Meeting Notes\n\n```\nUser: \"Summarize this meeting recording and extract action items\"\nAgent: uploads recording -> waits -> gets transcript -> uses chat_video for structured summary with action items\n```\n\n## Best Practices\n\n- Always wait for video processing to complete before querying\n- Use caption_video for quick analysis (no upload needed)\n- Use chat_video for deep, multi-turn analysis (requires upload)\n- Use search_audio to find specific moments or quotes in a video\n- Use memory_add to store important findings for later retrieval\n\n## Common Pitfalls\n\n- **Problem:** Querying a video before processing completes\n  **Solution:** Always use the `wait` command after upload before any analysis\n\n- **Problem:** Uploading a video when only a quick caption is needed\n  **Solution:** Use `caption_video` for one-off analysis; only upload for repeated queries\n\n## Limitations\n\n- Video processing takes 1-5 minutes depending on length\n- Free tier limited to 100 credits\n- Social media import requires public content\n- Audio search only works on processed videos\n\n## Related Skills\n\n- Video analysis tools for one-shot analysis\n- Web search skills for non-video content research\n",{"name":5,"risk":36,"tags":49,"tools":52,"author":55,"source":56,"category":57,"date_added":58,"description":7},[50,51,32,39,28,35,40],"video","ai",[53,54,43],"claude","cursor","kennyzheng-builds","https:\u002F\u002Fgithub.com\u002Fkennyzheng-builds\u002Fseek-and-analyze-video","data-ai","2026-03-09","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcursor\u002Fseek-and-analyze-video","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":66,"prompt":76,"zipAvailable":77},[67,70,73],{"tool":68,"command":69},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill seek-and-analyze-video",{"tool":71,"command":72},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill seek-and-analyze-video",{"tool":74,"command":75},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill seek-and-analyze-video","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fseek-and-analyze-video\u002FSKILL.md",true,[],[80,104,129,139,152,168],{"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":91,"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",[86],{"categoryNo":87,"categoryName":88,"taxonomyType":89,"taxonomyTypeDesc":90},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[92,93,94,95,96,97,98,99,100,101,102,103],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"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",[],[111,112,113,114,115,116,94,117,118,119,120,121,122,123,41,124,125,126,127,128],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","when","brew","live","google","install","read","across","api",{"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},"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",[],[136,137,111,122,123,41,124,115,94,126,138,127,128,121,119,118,117,125,116,114],"trend radar","radar","pulse",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"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",[],[146,147,148,149,150,151],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":161,"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",[158],{"categoryNo":159,"categoryName":160,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[154,100,162,163,28,103,122,164,165,166,113,167,125],"Audio","cli","images","https","files","pdfs",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":174,"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",[],[170,175,176,177,125,178,165,179,180,181,182,183],"status","play","go","latest","github","discover","control","cmd","volume"]