[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CBSV8NARWEC5GGMHN4FB0T":3,"skill-same:01M6CBSV8NARWEC5GGMHN4FB0T":73},{"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":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":14,"repositoryHtmlUrl":44,"repositoryHomepageUrl":6,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6CBSV8NARWEC5GGMHN4FB0T","ai-agents-architect",null,"Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.","Gabriellmaia01\u002Fneuro-dose-assist","Gabriellmaia01","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F135177180?v=4","01M6CBRZEZC8G5C400AG3SPFNH","Gabriel","01M6CBRZK8MB7DWW0B4C82TV2G",0,"MIT","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fai-agents-architect\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34],"ai agents","ai agents architect","architect","memory","ai agent","orchestration","planning","apache","tool use","tool","multi-agent","function calling","memory systems","autonomous","use","agent orchestration","2026-11-10 10:12:30",false,"---\nname: ai-agents-architect\ndescription: \"Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.\"\nsource: vibeship-spawner-skills (Apache 2.0)\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\n## Related Skills\n\nWorks well with: `rag-engineer`, `prompt-engineer`, `backend`, `mcp-builder`\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\n## Related Skills\n\nWorks well with: `rag-engineer`, `prompt-engineer`, `backend`, `mcp-builder`\n",{"name":5,"source":40,"description":7},"vibeship-spawner-skills (Apache 2.0)","main","eac60cc6e0b6baa2a05a765a851fb10638f4e733",".agent\u002Fskills\u002Fskills\u002Fai-agents-architect","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist","https:\u002F\u002Fgithub.com\u002FGabriellmaia01","https:\u002F\u002Fportfolio-bice-theta-81.vercel.app\u002F","💻 Desenvolvimento De Software_\r\n\r\n⚙️ Engenharia De Software\r\n","2026-11-12 08:51:23",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add Gabriellmaia01\u002Fneuro-dose-assist --skill ai-agents-architect",{"tool":55,"command":56},"bunx","bunx skills add Gabriellmaia01\u002Fneuro-dose-assist --skill ai-agents-architect",{"tool":58,"command":59},"pnpm","pnpm dlx skills add Gabriellmaia01\u002Fneuro-dose-assist --skill ai-agents-architect","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fai-agents-architect\u002FSKILL.md",true,[63,69],{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"SOURCE.md","REFERENCE","参考文档",190,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fdefi\u002Fcrawbot-superfluid\u002FSOURCE.md",{"path":70,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":71,"sourceHtmlUrl":72},"TRUST.auto.yaml",2217,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fdefi\u002Fcrawbot-superfluid\u002FTRUST.auto.yaml",[74,98,128,148,159,179],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":85,"publishedAt":35},"01M6CCFWA9JJ23708FSKK1QNBW","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[80],{"categoryNo":81,"categoryName":82,"taxonomyType":83,"taxonomyTypeDesc":84},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[86,87,88,89,90,26,91,92,93,94,33,95,96,97],"zapier make patterns","writing","workflow","automation","code","how","automate","integrations","business","simplicity","power","complexity",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":110,"publishedAt":35},"01M6CCFSBPM49S618W7G4NHH13","Cross-Site Scripting and HTML Injection Testing","This skill should be used when the user asks to \"test for XSS vulnerabilities\", \"perform cross-site scripting attacks\", \"identify HTML injection flaws\", \"exploit client-side injection vulnerabilities\", \"steal cookies via XSS\", or \"bypass content security policies\". It provides comprehensive techniques for detecting, exploiting, and understanding XSS and HTML injection attack vectors in web applications.","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fxss-html-injection\u002FSKILL.md",[104,107],{"categoryNo":105,"categoryName":106,"taxonomyType":83,"taxonomyTypeDesc":84},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":108,"categoryName":109,"taxonomyType":83,"taxonomyTypeDesc":84},"01JBSEEDCAT000000000000009","前端开发",[111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127],"injection","scripting","html","site","Cross Site Scripting and HTML Injection Testing","testing","html injection testing","cookies","applications","xss","exploit","content","web","test","vulnerabilities","user","security",{"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":143,"publishedAt":35},"01M6CCFJ9XTPXHTE4JR06WY475","writing-skills","Use when creating new skills, editing existing skills, or verifying skills work before deployment","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fwriting-skills\u002FSKILL.md",[134,135,138],{"categoryNo":105,"categoryName":106,"taxonomyType":83,"taxonomyTypeDesc":84},{"categoryNo":136,"categoryName":137,"taxonomyType":83,"taxonomyTypeDesc":84},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":139,"categoryName":140,"taxonomyType":141,"taxonomyTypeDesc":142},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[87,144,145,146,147,33],"writing skills","deployment","work","editing",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":156,"publishedAt":35},"01M6CCFG98EMZZ43D1CPZZZ54E","writing-plans","Use when you have a spec or requirements for a multi-step task, before touching code","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fwriting-plans\u002FSKILL.md",[154,155],{"categoryNo":136,"categoryName":137,"taxonomyType":83,"taxonomyTypeDesc":84},{"categoryNo":139,"categoryName":140,"taxonomyType":141,"taxonomyTypeDesc":142},[87,157,158,90,33],"writing plans","spec",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":166,"publishedAt":35},"01M6CCFDPACVC9ZM8TN63MGBP5","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fworkflow-automation\u002FSKILL.md",[165],{"categoryNo":81,"categoryName":82,"taxonomyType":83,"taxonomyTypeDesc":84},[167,89,88,168,19,169,170,171,26,172,173,174,175,176,177,178],"Workflow Automation","network","accessibility","workflows","infrastructure","flow","Production","execution","inngest","parallel","orchestrator","resume",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":186,"publishedAt":35},"01M6CCFB0KAB0PPNV38XQPX6YX","WordPress Penetration Testing","This skill should be used when the user asks to \"pentest WordPress sites\", \"scan WordPress for vulnerabilities\", \"enumerate WordPress users, themes, or plugins\", \"exploit WordPress vulnerabilities\", or \"use WPScan\". It provides comprehensive WordPress security assessment methodologies.","https:\u002F\u002Fgithub.com\u002FGabriellmaia01\u002Fneuro-dose-assist\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fskills\u002Fwordpress-penetration-testing\u002FSKILL.md",[185],{"categoryNo":105,"categoryName":106,"taxonomyType":83,"taxonomyTypeDesc":84},[116,181,187,188,127,125,189,190,126,33,121,191,192],"penetration testing","wordpress","assessment","plugins","pentest","security assessment"]