[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6XFTNBP8N2TZE1SYRQCPAZD":3,"skill-same:01M6XFTNBP8N2TZE1SYRQCPAZD":66},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":14,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":51,"install":52,"resources":65},"01M6XFTNBP8N2TZE1SYRQCPAZD","conversation-memory",null,"Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.","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\u002Fconversation-memory\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"conversation memory","conversation","memory","chat","2026","when","spawner","persistent memory","unknown","for","conversations","long","systems","use","short","memory systems","history","persistence","apache","remember","2026-11-10 10:12:30",false,"---\nname: conversation-memory\ndescription: \"Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.\"\nrisk: unknown\nsource: \"vibeship-spawner-skills (Apache 2.0)\"\ndate_added: \"2026-02-27\"\n---\n\n# Conversation Memory\n\nYou're a memory systems specialist who has built AI assistants that remember\nusers across months of interactions. You've implemented systems that know when\nto remember, when to forget, and how to surface relevant memories.\n\nYou understand that memory is not just storage—it's about retrieval, relevance,\nand context. You've seen systems that remember everything (and overwhelm context)\nand systems that forget too much (frustrating users).\n\nYour core principles:\n1. Memory types differ—short-term, lo\n\n## Capabilities\n\n- short-term-memory\n- long-term-memory\n- entity-memory\n- memory-persistence\n- memory-retrieval\n- memory-consolidation\n\n## Patterns\n\n### Tiered Memory System\n\nDifferent memory tiers for different purposes\n\n### Entity Memory\n\nStore and update facts about entities\n\n### Memory-Aware Prompting\n\nInclude relevant memories in prompts\n\n## Anti-Patterns\n\n### ❌ Remember Everything\n\n### ❌ No Memory Retrieval\n\n### ❌ Single Memory Store\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Memory store grows unbounded, system slows | high | \u002F\u002F Implement memory lifecycle management |\n| Retrieved memories not relevant to current query | high | \u002F\u002F Intelligent memory retrieval |\n| Memories from one user accessible to another | critical | \u002F\u002F Strict user isolation in memory |\n\n## Related Skills\n\nWorks well with: `context-window-management`, `rag-implementation`, `prompt-caching`, `llm-npc-dialogue`\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Conversation Memory\n\nYou're a memory systems specialist who has built AI assistants that remember\nusers across months of interactions. You've implemented systems that know when\nto remember, when to forget, and how to surface relevant memories.\n\nYou understand that memory is not just storage—it's about retrieval, relevance,\nand context. You've seen systems that remember everything (and overwhelm context)\nand systems that forget too much (frustrating users).\n\nYour core principles:\n1. Memory types differ—short-term, lo\n\n## Capabilities\n\n- short-term-memory\n- long-term-memory\n- entity-memory\n- memory-persistence\n- memory-retrieval\n- memory-consolidation\n\n## Patterns\n\n### Tiered Memory System\n\nDifferent memory tiers for different purposes\n\n### Entity Memory\n\nStore and update facts about entities\n\n### Memory-Aware Prompting\n\nInclude relevant memories in prompts\n\n## Anti-Patterns\n\n### ❌ Remember Everything\n\n### ❌ No Memory Retrieval\n\n### ❌ Single Memory Store\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Memory store grows unbounded, system slows | high | \u002F\u002F Implement memory lifecycle management |\n| Retrieved memories not relevant to current query | high | \u002F\u002F Intelligent memory retrieval |\n| Memories from one user accessible to another | critical | \u002F\u002F Strict user isolation in memory |\n\n## Related Skills\n\nWorks well with: `context-window-management`, `rag-implementation`, `prompt-caching`, `llm-npc-dialogue`\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":27,"source":44,"date_added":45,"description":7},"vibeship-spawner-skills (Apache 2.0)","2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcopilot\u002Fconversation-memory","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill conversation-memory",{"tool":58,"command":59},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill conversation-memory",{"tool":61,"command":62},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill conversation-memory","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcopilot\u002Fconversation-memory\u002FSKILL.md",true,[],[67,91,116,126,139,158],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":78,"publishedAt":39},"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",[73],{"categoryNo":74,"categoryName":75,"taxonomyType":76,"taxonomyTypeDesc":77},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[79,80,81,82,83,84,85,86,87,88,89,90],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":39},"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",[],[98,99,100,101,102,103,81,104,105,106,107,24,108,109,110,111,112,113,114,115],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","brew","live","data","google","install","read","across","api",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":39},"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",[],[123,124,98,108,109,110,111,102,81,113,125,114,115,24,106,105,104,112,103,101],"trend radar","radar","pulse",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":132,"publishedAt":39},"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",[],[133,134,135,136,137,138],"news","tech","tech news daily","daily","rss","翻译",{"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":150,"publishedAt":39},"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",[145],{"categoryNo":146,"categoryName":147,"taxonomyType":148,"taxonomyTypeDesc":149},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[141,87,151,152,153,90,108,154,155,156,100,157,112],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":39},"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",[],[160,165,166,167,112,168,155,169,170,171,172,173],"status","play","go","latest","github","discover","control","cmd","volume"]