[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71540ZH9XHCWXSDGFDDP3HF":3,"skill-same:01M71540ZH9XHCWXSDGFDDP3HF":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},"01M71540ZH9XHCWXSDGFDDP3HF","ai-agents-architect",null,"I build AI systems that can act autonomously while remaining controllable. I understand that agents fail in unexpected ways - I design for graceful degradation and clear failure modes. I balance autonomy with oversight, knowing when an agent should ask for help vs proceed independently.","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\u002Fai-agents-architect\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"ai agents","ai agents architect","architect","2026","design","when","graceful degradation","proceed","modes","spawner","unknown","for","can","balance","with","build","oversight","ask","apache","help","2026-11-10 10:12:30",false,"---\nname: ai-agents-architect\ndescription: \"I build AI systems that can act autonomously while remaining controllable. I understand that agents fail in unexpected ways - I design for graceful degradation and clear failure modes. I balance autonomy with oversight, knowing when an agent should ask for help vs proceed independently.\"\nrisk: unknown\nsource: \"vibeship-spawner-skills (Apache 2.0)\"\ndate_added: \"2026-02-27\"\n---\n\n# AI Agents Architect\n\n**Role**: AI Agent Systems Architect\n\nI build AI systems that can act autonomously while remaining controllable.\nI understand that agents fail in unexpected ways - I design for graceful\ndegradation and clear failure modes. I balance autonomy with oversight,\nknowing when an agent should ask for help vs proceed independently.\n\n## Capabilities\n\n- Agent architecture design\n- Tool and function calling\n- Agent memory systems\n- Planning and reasoning strategies\n- Multi-agent orchestration\n- Agent evaluation and debugging\n\n## Requirements\n\n- LLM API usage\n- Understanding of function calling\n- Basic prompt engineering\n\n## Patterns\n\n### ReAct Loop\n\nReason-Act-Observe cycle for step-by-step execution\n\n```javascript\n- Thought: reason about what to do next\n- Action: select and invoke a tool\n- Observation: process tool result\n- Repeat until task complete or stuck\n- Include max iteration limits\n```\n\n### Plan-and-Execute\n\nPlan first, then execute steps\n\n```javascript\n- Planning phase: decompose task into steps\n- Execution phase: execute each step\n- Replanning: adjust plan based on results\n- Separate planner and executor models possible\n```\n\n### Tool Registry\n\nDynamic tool discovery and management\n\n```javascript\n- Register tools with schema and examples\n- Tool selector picks relevant tools for task\n- Lazy loading for expensive tools\n- Usage tracking for optimization\n```\n\n## Anti-Patterns\n\n### ❌ Unlimited Autonomy\n\n### ❌ Tool Overload\n\n### ❌ Memory Hoarding\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Agent loops without iteration limits | critical | Always set limits: |\n| Vague or incomplete tool descriptions | high | Write complete tool specs: |\n| Tool errors not surfaced to agent | high | Explicit error handling: |\n| Storing everything in agent memory | medium | Selective memory: |\n| Agent has too many tools | medium | Curate tools per task: |\n| Using multiple agents when one would work | medium | Justify multi-agent: |\n| Agent internals not logged or traceable | medium | Implement tracing: |\n| Fragile parsing of agent outputs | medium | Robust output handling: |\n| Agent workflows lost on crash or restart | high | Use durable execution (e.g. DBOS) to persist workflow state: |\n\n## Related Skills\n\nWorks well with: `rag-engineer`, `prompt-engineer`, `backend`, `mcp-builder`, `dbos-python`\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# AI Agents Architect\n\n**Role**: AI Agent Systems Architect\n\nI build AI systems that can act autonomously while remaining controllable.\nI understand that agents fail in unexpected ways - I design for graceful\ndegradation and clear failure modes. I balance autonomy with oversight,\nknowing when an agent should ask for help vs proceed independently.\n\n## Capabilities\n\n- Agent architecture design\n- Tool and function calling\n- Agent memory systems\n- Planning and reasoning strategies\n- Multi-agent orchestration\n- Agent evaluation and debugging\n\n## Requirements\n\n- LLM API usage\n- Understanding of function calling\n- Basic prompt engineering\n\n## Patterns\n\n### ReAct Loop\n\nReason-Act-Observe cycle for step-by-step execution\n\n```javascript\n- Thought: reason about what to do next\n- Action: select and invoke a tool\n- Observation: process tool result\n- Repeat until task complete or stuck\n- Include max iteration limits\n```\n\n### Plan-and-Execute\n\nPlan first, then execute steps\n\n```javascript\n- Planning phase: decompose task into steps\n- Execution phase: execute each step\n- Replanning: adjust plan based on results\n- Separate planner and executor models possible\n```\n\n### Tool Registry\n\nDynamic tool discovery and management\n\n```javascript\n- Register tools with schema and examples\n- Tool selector picks relevant tools for task\n- Lazy loading for expensive tools\n- Usage tracking for optimization\n```\n\n## Anti-Patterns\n\n### ❌ Unlimited Autonomy\n\n### ❌ Tool Overload\n\n### ❌ Memory Hoarding\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Agent loops without iteration limits | critical | Always set limits: |\n| Vague or incomplete tool descriptions | high | Write complete tool specs: |\n| Tool errors not surfaced to agent | high | Explicit error handling: |\n| Storing everything in agent memory | medium | Selective memory: |\n| Agent has too many tools | medium | Curate tools per task: |\n| Using multiple agents when one would work | medium | Justify multi-agent: |\n| Agent internals not logged or traceable | medium | Implement tracing: |\n| Fragile parsing of agent outputs | medium | Robust output handling: |\n| Agent workflows lost on crash or restart | high | Use durable execution (e.g. DBOS) to persist workflow state: |\n\n## Related Skills\n\nWorks well with: `rag-engineer`, `prompt-engineer`, `backend`, `mcp-builder`, `dbos-python`\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{"name":5,"risk":29,"source":44,"date_added":45,"description":7},"vibeship-spawner-skills (Apache 2.0)","2026-02-27","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fcursor\u002Fai-agents-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":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill ai-agents-architect",{"tool":58,"command":59},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill ai-agents-architect",{"tool":61,"command":62},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill ai-agents-architect","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fai-agents-architect\u002FSKILL.md",true,[],[67,89,114,124,137,156],{"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",[79,80,81,82,83,23,84,85,86,87,88,33],"wechat search","wechat","search","capabilities","openclaw","web search","compliance","web","official","fetch",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"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",[],[96,97,98,99,100,101,81,102,103,104,105,24,106,107,108,109,110,111,112,113],"trend","trend tap","tap","api keys","Bash","time","trending","hacker","aggregator","do","brew","live","data","google","install","read","across","api",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"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",[],[121,122,96,106,107,108,109,100,81,111,123,112,113,24,104,103,102,110,101,99],"trend radar","radar","pulse",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":130,"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",[],[131,132,133,134,135,136],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":148,"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",[143],{"categoryNo":144,"categoryName":145,"taxonomyType":146,"taxonomyTypeDesc":147},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[139,86,149,150,151,33,106,152,153,154,98,155,110],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":162,"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",[],[158,163,164,165,110,166,153,167,168,169,170,171],"status","play","go","latest","github","discover","control","cmd","volume"]