[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCB8Y1DTFH1HBZD9RF9EMS":3,"skill-same:01M6DCB8Y1DTFH1HBZD9RF9EMS":78},{"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":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":14,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6DCB8Y1DTFH1HBZD9RF9EMS","agentic-os",null,"Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagentic-os\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"os","agentic os","agentic","multi-agent","systems","operating systems","commands","build","databases","management","file","state","code","state management","architecture","automation","memory","kernel","2026-11-10 10:12:30",false,"---\nname: agentic-os\ndescription: Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.\norigin: ECC\n---\n\n# Agentic OS\n\nTreat Claude Code as a persistent runtime \u002F operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON\u002Fmarkdown data layer.\n\n## When to Activate\n\n- Building a multi-agent workflow inside Claude Code\n- Setting up persistent Claude Code automation that survives session restarts\n- Creating a \"personal OS\" or \"agentic OS\" for recurring tasks\n- User says \"agentic OS\", \"personal OS\", \"multi-agent\", \"agent coordinator\", \"persistent agent\"\n- Structuring long-running projects where context must survive across sessions\n\n## Architecture Overview\n\nThe Agentic OS has four layers. Each layer is a directory in your project root.\n\n```\nproject-root\u002F\n├── CLAUDE.md          # Kernel: identity, routing rules, agent registry\n├── agents\u002F            # Specialist agent definitions (markdown prompts)\n├── .claude\u002Fcommands\u002F  # Slash commands: user-facing CLI\n├── scripts\u002F           # Daemon scripts: scheduled or event-driven tasks\n└── data\u002F              # State: JSON\u002Fmarkdown filesystem, no external DB\n```\n\n### Layer Responsibilities\n\n| Layer | Purpose | Persistence |\n|---|---|---|\n| Kernel (`CLAUDE.md`) | Identity, routing, model policies, agent registry | Git-tracked |\n| Agents (`agents\u002F`) | Specialist identities with scoped tools and memory | Git-tracked |\n| Commands (`.claude\u002Fcommands\u002F`) | User-facing slash commands (`\u002Fdaily-sync`, `\u002Foutreach`) | Git-tracked |\n\n### The Kernel\n### Kernel Structure\n### CLAUDE.md - Agentic OS Kernel\n### Identity\n### Agent Registry\n### Routing Rules\n### Model Policies\n### Key Principle\n### Specialist Agents\n### Agent Definition Format\n","# Agentic OS\n\nTreat Claude Code as a persistent runtime \u002F operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON\u002Fmarkdown data layer.\n\n## When to Activate\n\n- Building a multi-agent workflow inside Claude Code\n- Setting up persistent Claude Code automation that survives session restarts\n- Creating a \"personal OS\" or \"agentic OS\" for recurring tasks\n- User says \"agentic OS\", \"personal OS\", \"multi-agent\", \"agent coordinator\", \"persistent agent\"\n- Structuring long-running projects where context must survive across sessions\n\n## Architecture Overview\n\nThe Agentic OS has four layers. Each layer is a directory in your project root.\n\n```\nproject-root\u002F\n├── CLAUDE.md          # Kernel: identity, routing rules, agent registry\n├── agents\u002F            # Specialist agent definitions (markdown prompts)\n├── .claude\u002Fcommands\u002F  # Slash commands: user-facing CLI\n├── scripts\u002F           # Daemon scripts: scheduled or event-driven tasks\n└── data\u002F              # State: JSON\u002Fmarkdown filesystem, no external DB\n```\n\n### Layer Responsibilities\n\n| Layer | Purpose | Persistence |\n|---|---|---|\n| Kernel (`CLAUDE.md`) | Identity, routing, model policies, agent registry | Git-tracked |\n| Agents (`agents\u002F`) | Specialist identities with scoped tools and memory | Git-tracked |\n| Commands (`.claude\u002Fcommands\u002F`) | User-facing slash commands (`\u002Fdaily-sync`, `\u002Foutreach`) | Git-tracked |\n\n### The Kernel\n### Kernel Structure\n### CLAUDE.md - Agentic OS Kernel\n### Identity\n### Agent Registry\n### Routing Rules\n### Model Policies\n### Key Principle\n### Specialist Agents\n### Agent Definition Format\n",{"name":5,"origin":47,"description":7},"ECC","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagentic-os","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill agentic-os",{"tool":60,"command":61},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill agentic-os",{"tool":63,"command":64},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill agentic-os","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagentic-os\u002FSKILL.md",true,[68,74],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"_meta.json","REFERENCE","参考文档",270,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Fsonoscli\u002F_meta.json",{"path":75,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":76,"sourceHtmlUrl":77},".clawhub\u002Forigin.json",151,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fhermes\u002Fsonoscli\u002F.clawhub\u002Forigin.json",[79,100,127,154,167,183],{"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":42},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[86,87,88,89,90,91,92,93,94,95,96,97,98,99,34],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":107,"publishedAt":42},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[106],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[108,109,110,111,112,113,114,115,116,117,118,119,120,121,95,122,123,124,125,126],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":128,"name":129,"nameZh":6,"description":130,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":131,"categories":132,"keywords":139,"publishedAt":42},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[133,136],{"categoryNo":134,"categoryName":135,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":137,"categoryName":138,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[140,141,142,143,144,145,146,147,148,149,109,150,151,152,153],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":42},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[156,161,162,163,164,165,166,35],"setup","report","project","installation","project setup","issues",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":174,"publishedAt":42},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[173],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[169,175,91,176,177,178,95,179,180,181,182],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":184,"name":161,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":42},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[161,163,124,189,165,190],"files","interactive"]