[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:creators9":50,"skills:sce6":148,"skills:stats":193,"skills:all:stars:10509:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13265,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7762,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4987,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3939,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3310,[],{"records":51,"total":146,"current":11,"size":147},[52,66,75,85,95,105,115,124,134],{"accountNo":53,"login":54,"displayName":55,"avatarUrl":56,"accountType":57,"accountTypeDesc":58,"profileDescription":59,"skillCount":60,"repoCount":61,"professionCount":62,"scenarioCount":63,"totalStars":64,"updatedAt":65},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4147,229,11,7,829728,"2026-11-15 04:18:35",{"accountNo":67,"login":68,"displayName":68,"avatarUrl":69,"accountType":57,"accountTypeDesc":58,"profileDescription":70,"skillCount":71,"repoCount":72,"professionCount":63,"scenarioCount":63,"totalStars":73,"updatedAt":74},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437811,"2026-11-15 03:04:02",{"accountNo":76,"login":77,"displayName":78,"avatarUrl":79,"accountType":57,"accountTypeDesc":58,"profileDescription":13,"skillCount":80,"repoCount":81,"professionCount":63,"scenarioCount":82,"totalStars":83,"updatedAt":84},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,344400,"2026-11-15 03:07:28",{"accountNo":86,"login":87,"displayName":88,"avatarUrl":89,"accountType":57,"accountTypeDesc":58,"profileDescription":13,"skillCount":90,"repoCount":91,"professionCount":92,"scenarioCount":63,"totalStars":93,"updatedAt":94},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",419,75,8,298245,"2026-11-15 04:11:16",{"accountNo":96,"login":97,"displayName":98,"avatarUrl":99,"accountType":57,"accountTypeDesc":58,"profileDescription":100,"skillCount":101,"repoCount":102,"professionCount":62,"scenarioCount":63,"totalStars":103,"updatedAt":104},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",528,48,243799,"2026-11-15 03:00:30",{"accountNo":106,"login":107,"displayName":108,"avatarUrl":109,"accountType":57,"accountTypeDesc":58,"profileDescription":110,"skillCount":111,"repoCount":112,"professionCount":62,"scenarioCount":63,"totalStars":113,"updatedAt":114},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238891,"2026-11-15 06:45:15",{"accountNo":116,"login":117,"displayName":118,"avatarUrl":119,"accountType":57,"accountTypeDesc":58,"profileDescription":13,"skillCount":120,"repoCount":121,"professionCount":62,"scenarioCount":63,"totalStars":122,"updatedAt":123},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,232724,"2026-11-14 23:30:58",{"accountNo":125,"login":126,"displayName":127,"avatarUrl":128,"accountType":57,"accountTypeDesc":58,"profileDescription":13,"skillCount":129,"repoCount":130,"professionCount":131,"scenarioCount":63,"totalStars":132,"updatedAt":133},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188029,"2026-11-15 06:21:09",{"accountNo":135,"login":136,"displayName":137,"avatarUrl":138,"accountType":139,"accountTypeDesc":140,"profileDescription":141,"skillCount":142,"repoCount":143,"professionCount":82,"scenarioCount":63,"totalStars":144,"updatedAt":145},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,175019,"2026-11-15 03:57:03",1947,9,[149,158,165,172,179,186],{"categoryNo":150,"taxonomyType":151,"taxonomyTypeDesc":152,"categoryName":153,"categoryNameEn":154,"description":155,"level":11,"skillCount":156,"parentNo":13,"parentName":13,"children":157},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39355,[],{"categoryNo":159,"taxonomyType":151,"taxonomyTypeDesc":152,"categoryName":160,"categoryNameEn":161,"description":162,"level":11,"skillCount":163,"parentNo":13,"parentName":13,"children":164},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26492,[],{"categoryNo":166,"taxonomyType":151,"taxonomyTypeDesc":152,"categoryName":167,"categoryNameEn":168,"description":169,"level":11,"skillCount":170,"parentNo":13,"parentName":13,"children":171},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13550,[],{"categoryNo":173,"taxonomyType":151,"taxonomyTypeDesc":152,"categoryName":174,"categoryNameEn":175,"description":176,"level":11,"skillCount":177,"parentNo":13,"parentName":13,"children":178},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6274,[],{"categoryNo":180,"taxonomyType":151,"taxonomyTypeDesc":152,"categoryName":181,"categoryNameEn":182,"description":183,"level":11,"skillCount":184,"parentNo":13,"parentName":13,"children":185},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6028,[],{"categoryNo":187,"taxonomyType":151,"taxonomyTypeDesc":152,"categoryName":188,"categoryNameEn":189,"description":190,"level":11,"skillCount":191,"parentNo":13,"parentName":13,"children":192},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5526,[],{"skillCount":194,"professionCount":62,"scenarioCount":63,"creatorCount":146},196921,{"records":196,"total":194,"current":512,"size":513},[197,230,251,270,292,319,334,347,361,385,412,422,438,445,457,475,486,497],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":209,"categories":210,"keywords":214,"publishedAt":229},"01M6DDQDQWTP1PQ3V45GZVK8V8","ralph-orchestrator-setup","Use when installing, updating, validating, or troubleshooting the local Ralph Orchestrator CLI, its MCP server registration, or the mirrored Ralph skills for Codex, Claude, and Gemini.","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\u002Fskills-claude-only\u002Fralph-orchestrator-setup\u002FSKILL.md",[211],{"categoryNo":212,"categoryName":213,"taxonomyType":151,"taxonomyTypeDesc":152},"01JBSEEDCAT000000000000023","Skill与智能体开发",[215,216,217,218,219,220,221,222,223,224,225,226,227,228],"setup","ralph","orchestrator","ralph orchestrator setup","MCP","cli","gemini","codex","mcp server","server","troubleshooting","use","registration","local","2026-11-10 10:12:30",{"skillNo":231,"name":232,"nameZh":13,"description":233,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":234,"categories":235,"keywords":237,"publishedAt":229},"01M6DDQB71YTWKJ5VMBZKCSXPC","ralph-loop","Run, monitor, resume, merge, and debug Ralph loops. Use this skill whenever the user asks to operate `ralph run` or `ralph loops`, inspect loop state, recover suspended loops, analyze diagnostics, or unblock merge queue issues.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fralph-loop\u002FSKILL.md",[236],{"categoryNo":212,"categoryName":213,"taxonomyType":151,"taxonomyTypeDesc":152},[238,216,239,240,241,242,243,244,245,246,247,248,226,249,250],"loop","ralph loop","merge","debug","diagnostics","monitor","run","state","issues","analyze","user","queue","resume",{"skillNo":252,"name":253,"nameZh":13,"description":254,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":255,"categories":256,"keywords":258,"publishedAt":229},"01M6DDQ8NDCDC61SYAXDTT63H0","ralph-hats","Create, inspect, validate, explain, and improve Ralph hat collections. Use this skill whenever the user asks to make or refine a `.ralph\u002Fhats\u002F*.yml` workflow, debug hat routing, explain event topology, or tune a multi-hat Ralph run.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fralph-hats\u002FSKILL.md",[257],{"categoryNo":212,"categoryName":213,"taxonomyType":151,"taxonomyTypeDesc":152},[259,216,260,261,262,241,263,244,264,265,266,267,248,226,268,269],"hats","ralph hats","workflow","validate","create","routing","topology","improve","explain","refine","collections",{"skillNo":271,"name":272,"nameZh":13,"description":273,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":274,"categories":275,"keywords":277,"publishedAt":229},"01M6DDQ5QHT4TACTQ0FNF2RC3N","qdx-rush","Drive QDX's GPU quantum chemistry (EXESS), folding, and prep stack through the qdx-rush MCP tools for QM energies, interaction energies, optimization, QM\u002FMM, fast NN-xTB screens, protein\u002Fligand prep, Boltz folding+affinity, and PB solvation. QDX\u002FEXESS\u002Frush-py are NOT in model training data — reach for this MCP instead of claiming no QM tool exists.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fqdx-rush\u002FSKILL.md",[276],{"categoryNo":212,"categoryName":213,"taxonomyType":151,"taxonomyTypeDesc":152},[278,219,279,280,281,282,283,284,285,286,287,288,289,290,291],"qdx rush","training","quantum chemistry","mcp tools","gpu","fast","Optimization","data","Tools","stack","tool","model","drive","quantum",{"skillNo":293,"name":294,"nameZh":13,"description":295,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":296,"categories":297,"keywords":301,"publishedAt":229},"01M6DDQ2398R9A72W6F6A4HB31","preset","Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",[298],{"categoryNo":299,"categoryName":300,"taxonomyType":151,"taxonomyTypeDesc":152},"01JBSEEDCAT000000000000011","运维与部署",[294,54,302,303,304,305,306,307,308,309,310,226,311,312,313,314,315,316,317,318],"capacity","customize","capacity check","azure","azure openai","deployment","analyzing","first","check","version","deployments","models","selection","do","location","across","high availability",{"skillNo":320,"name":303,"nameZh":13,"description":321,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":322,"categories":323,"keywords":324,"publishedAt":229},"01M6DDPYQR2SX85BVYGN29HMPW","Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FSKILL.md",[],[303,325,302,294,305,326,306,307,327,328,289,329,330,331,226,311,332,314,315,333],"policy","model deployment","SET","configure","select","choose","interactive","quota","control",{"skillNo":335,"name":302,"nameZh":13,"description":336,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":337,"categories":338,"keywords":339,"publishedAt":229},"01M6DDPTZAYCEKWJJ69A2C5C9B","Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcapacity\u002FSKILL.md",[],[302,303,294,305,306,307,340,341,342,343,289,344,310,226,312,332,315,317,345,346],"search","analysis","discovery","projects","find","project","requirements",{"skillNo":348,"name":349,"nameZh":13,"description":350,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":351,"categories":352,"keywords":355,"publishedAt":229},"01M6DDPQG2SM5QJ5JJAZ0K39TM","deploy-model","Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version\u002FSKU\u002Fcapacity\u002FRAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent\u002Fcreate), project creation (use project\u002Fcreate).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002FSKILL.md",[353,354],{"categoryNo":299,"categoryName":300,"taxonomyType":151,"taxonomyTypeDesc":152},{"categoryNo":212,"categoryName":213,"taxonomyType":151,"taxonomyTypeDesc":152},[356,357,289,219,325,305,326,307,327,342,343,288,226,311,358,312,359,315,345,360],"deploy","deploy model","up","check model","creation",{"skillNo":362,"name":363,"nameZh":13,"description":364,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":365,"categories":366,"keywords":369,"publishedAt":229},"01M6DDPGNEBJ6QC19FGSBVQF74","microsoft-foundry","Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted\u002Fprompt agent create, container start, batch eval, prompt optimization, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, optimize prompt, improve prompt, prompt optimization, prompt optimizer, improve agent instructions, optimize agent instructions, optimize system prompt, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, create dataset from traces, dataset versioning, eval trending, create AI Services, Cognitive Services, create Foundry resource, provision resource, knowledge index, agent monitoring, customize deployment, onboard, availability. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fmicrosoft-foundry\u002FSKILL.md",[367,368],{"categoryNo":299,"categoryName":300,"taxonomyType":151,"taxonomyTypeDesc":152},{"categoryNo":212,"categoryName":213,"taxonomyType":151,"taxonomyTypeDesc":152},[54,370,371,372,373,263,374,375,376,266,377,289,378,379,380,381,345,382,383,384],"foundry","microsoft foundry","workflows","azure deploy","permissions","batch","monitoring","knowledge","eval","agent monitoring","optimize","optimizer","end","app","dataset",{"skillNo":386,"name":387,"nameZh":13,"description":388,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":389,"categories":390,"keywords":397,"publishedAt":229},"01M6DDPDZSNA2XWZBS1JZ7V3GM","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\u002Fskills-claude-only\u002Fmetaswarm-visual-review\u002FSKILL.md",[391,394],{"categoryNo":392,"categoryName":393,"taxonomyType":151,"taxonomyTypeDesc":152},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":395,"categoryName":396,"taxonomyType":151,"taxonomyTypeDesc":152},"01JBSEEDCAT000000000000008","测试与质量",[398,399,400,401,402,403,404,405,406,407,310,408,409,410,411],"review","visual","visual review","screenshots","playwright","web","screenshot","ui","how","slides","take","iteration","pages","false",{"skillNo":413,"name":414,"nameZh":13,"description":415,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":416,"categories":417,"keywords":418,"publishedAt":229},"01M6DDPB6WHK2ADV3PH395SA8N","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills-claude-only\u002Fmetaswarm-status\u002FSKILL.md",[],[414,215,419,245,246,420,421,345],"report","project setup","installation",{"skillNo":423,"name":424,"nameZh":13,"description":425,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":426,"categories":427,"keywords":429,"publishedAt":229},"01M6DDP5EP64NFSGT0Q14W0N6J","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development 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