[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CQA9CQV8ENW5EX8EN0R05C":3,"skill-same:01M6CQA9CQV8ENW5EX8EN0R05C":97},{"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":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":14,"repositoryHtmlUrl":63,"repositoryHomepageUrl":64,"ownerHtmlUrl":65,"ownerBlogUrl":66,"ownerDescription":67,"updatedAt":68,"install":69,"resources":82},"01M6CQA9CQV8ENW5EX8EN0R05C","preset",null,"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).","Trollz1004\u002FANTIGRAVITY","Trollz1004","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F132442315?v=4","01M6CQ4Z97ERZA2CXR388F6NZ1","Joshua Coleman","01M6CQ4ZCYE67QPNWBBV8H9DBE",0,"MIT","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"use","automatic","custom","alternatives","for","quick","availability","high availability","across","location","do","selection","models","deployments","version","microsoft","check","first","analyzing","fast","openai","deployment","azure openai","azure","capacity check","customize","capacity","deploy","2026-11-10 10:12:30",false,"---\nname: preset\ndescription: '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).'\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: '1.0.1'\n---\n\n# Deploy Model to Optimal Region\n\nAutomates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.\n\n## What This Skill Does\n\n1. Verifies Azure authentication and project scope\n2. Checks capacity in current project's region\n3. If no capacity: analyzes all regions and shows available alternatives\n4. Filters projects by selected region\n5. Supports creating new projects if needed\n6. Deploys model with GlobalStandard SKU\n7. Monitors deployment progress\n\n## Prerequisites\n\n- Azure CLI installed and configured\n- Active Azure subscription with Cognitive Services read\u002Fcreate permissions\n- Azure AI Foundry project resource ID (`PROJECT_RESOURCE_ID` env var or provided interactively)\n  - Format: `\u002Fsubscriptions\u002F{sub-id}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`\n  - Found in: Azure AI Foundry portal → Project → Overview → Resource ID\n\n## Quick Workflow\n\n### Fast Path (Current Region Has Capacity)\n\n```\n1. Check authentication → 2. Get project → 3. Check current region capacity\n→ 4. Deploy immediately\n```\n\n### Alternative Region Path (No Capacity)\n\n```\n1. Check authentication → 2. Get project → 3. Check current region (no capacity)\n→ 4. Query all regions → 5. Show alternatives → 6. Select region + project\n→ 7. Deploy\n```\n\n---\n\n## Deployment Phases\n\n| Phase                      | Action                                                                                  | Key Commands                                                               |\n| -------------------------- | --------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |\n| 1. Verify Auth             | Check Azure CLI login and subscription                                                  | `az account show`, `az login`                                              |\n| 2. Get Project             | Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists                                       | `az cognitiveservices account show`                                        |\n| 3. Get Model               | List available models, user selects model + version                                     | `az cognitiveservices account list-models`                                 |\n| 4. Check Current Region    | Query capacity using GlobalStandard SKU                                                 | `az rest --method GET ...\u002FmodelCapacities`                                 |\n| 5. Multi-Region Query      | If no local capacity, query all regions                                                 | Same capacity API without location filter                                  |\n| 6. Select Region + Project | User picks region; find or create project                                               | `az cognitiveservices account list`, `az cognitiveservices account create` |\n| 7. Deploy                  | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | `az cognitiveservices account deployment create`                           |\n\nFor detailed step-by-step instructions, see [workflow reference](references\u002Fworkflow.md).\n\n---\n\n## Error Handling\n\n| Error              | Symptom                         | Resolution                                                                                                                                        |\n| ------------------ | ------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Auth failure       | `az account show` returns error | Run `az login` then `az account set --subscription \u003Cid>`                                                                                          |\n| No quota           | All regions show 0 capacity     | Defer to the [quota skill](..\u002F..\u002F..\u002Fquota\u002Fquota.md) for increase requests and troubleshooting; check existing deployments; try alternative models |\n| Model not found    | Empty capacity list             | Verify model name with `az cognitiveservices account list-models`; check case sensitivity                                                         |\n| Name conflict      | \"deployment already exists\"     | Append suffix to deployment name (handled automatically by `generate_deployment_name` script)                                                     |\n| Region unavailable | Region doesn't support model    | Select a different region from the available list                                                                                                 |\n| Permission denied  | \"Forbidden\" or \"Unauthorized\"   | Verify Cognitive Services Contributor role: `az role assignment list --assignee \u003Cuser>`                                                           |\n\n---\n\n## Advanced Usage\n\n```bash\n# Custom capacity\naz cognitiveservices account deployment create ... --sku-capacity \u003Cvalue>\n\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname> --query \"{Status:properties.provisioningState}\"\n\n# Delete deployment\naz cognitiveservices account deployment delete --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n## Notes\n\n- **SKU:** GlobalStandard only — **API Version:** 2024-10-01 (GA stable)\n\n---\n\n## Related Skills\n\n- **microsoft-foundry** - Parent skill for Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill\n- **azure-quick-review** - Review Azure resources for compliance\n- **azure-cost-estimation** - Estimate costs for Azure deployments\n- **azure-validate** - Validate Azure infrastructure before deployment\n","# Deploy Model to Optimal Region\n\nAutomates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.\n\n## What This Skill Does\n\n1. Verifies Azure authentication and project scope\n2. Checks capacity in current project's region\n3. If no capacity: analyzes all regions and shows available alternatives\n4. Filters projects by selected region\n5. Supports creating new projects if needed\n6. Deploys model with GlobalStandard SKU\n7. Monitors deployment progress\n\n## Prerequisites\n\n- Azure CLI installed and configured\n- Active Azure subscription with Cognitive Services read\u002Fcreate permissions\n- Azure AI Foundry project resource ID (`PROJECT_RESOURCE_ID` env var or provided interactively)\n  - Format: `\u002Fsubscriptions\u002F{sub-id}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`\n  - Found in: Azure AI Foundry portal → Project → Overview → Resource ID\n\n## Quick Workflow\n\n### Fast Path (Current Region Has Capacity)\n\n```\n1. Check authentication → 2. Get project → 3. Check current region capacity\n→ 4. Deploy immediately\n```\n\n### Alternative Region Path (No Capacity)\n\n```\n1. Check authentication → 2. Get project → 3. Check current region (no capacity)\n→ 4. Query all regions → 5. Show alternatives → 6. Select region + project\n→ 7. Deploy\n```\n\n---\n\n## Deployment Phases\n\n| Phase                      | Action                                                                                  | Key Commands                                                               |\n| -------------------------- | --------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |\n| 1. Verify Auth             | Check Azure CLI login and subscription                                                  | `az account show`, `az login`                                              |\n| 2. Get Project             | Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists                                       | `az cognitiveservices account show`                                        |\n| 3. Get Model               | List available models, user selects model + version                                     | `az cognitiveservices account list-models`                                 |\n| 4. Check Current Region    | Query capacity using GlobalStandard SKU                                                 | `az rest --method GET ...\u002FmodelCapacities`                                 |\n| 5. Multi-Region Query      | If no local capacity, query all regions                                                 | Same capacity API without location filter                                  |\n| 6. Select Region + Project | User picks region; find or create project                                               | `az cognitiveservices account list`, `az cognitiveservices account create` |\n| 7. Deploy                  | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | `az cognitiveservices account deployment create`                           |\n\nFor detailed step-by-step instructions, see [workflow reference](references\u002Fworkflow.md).\n\n---\n\n## Error Handling\n\n| Error              | Symptom                         | Resolution                                                                                                                                        |\n| ------------------ | ------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Auth failure       | `az account show` returns error | Run `az login` then `az account set --subscription \u003Cid>`                                                                                          |\n| No quota           | All regions show 0 capacity     | Defer to the [quota skill](..\u002F..\u002F..\u002Fquota\u002Fquota.md) for increase requests and troubleshooting; check existing deployments; try alternative models |\n| Model not found    | Empty capacity list             | Verify model name with `az cognitiveservices account list-models`; check case sensitivity                                                         |\n| Name conflict      | \"deployment already exists\"     | Append suffix to deployment name (handled automatically by `generate_deployment_name` script)                                                     |\n| Region unavailable | Region doesn't support model    | Select a different region from the available list                                                                                                 |\n| Permission denied  | \"Forbidden\" or \"Unauthorized\"   | Verify Cognitive Services Contributor role: `az role assignment list --assignee \u003Cuser>`                                                           |\n\n---\n\n## Advanced Usage\n\n```bash\n# Custom capacity\naz cognitiveservices account deployment create ... --sku-capacity \u003Cvalue>\n\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname> --query \"{Status:properties.provisioningState}\"\n\n# Delete deployment\naz cognitiveservices account deployment delete --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n## Notes\n\n- **SKU:** GlobalStandard only — **API Version:** 2024-10-01 (GA stable)\n\n---\n\n## Related Skills\n\n- **microsoft-foundry** - Parent skill for Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill\n- **azure-quick-review** - Review Azure resources for compliance\n- **azure-cost-estimation** - Estimate costs for Azure deployments\n- **azure-validate** - Validate Azure infrastructure before deployment\n",{"name":5,"license":15,"metadata":57,"description":7},{"author":58,"version":59},"Microsoft","1.0.1","main","6deb42cc8c67a99d7613cb5802f8bbe01a0f3d12",".agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY","https:\u002F\u002Fwww.ai-solutions.store","https:\u002F\u002Fgithub.com\u002FTrollz1004","https:\u002F\u002Fyouandinotai.com","Founder building YouAndINotAI, OnlineRecycle, and AIDoesItAll through Trash Or Treasure Online Recycler LLC.","2026-11-12 18:53:17",{"source":8,"skillName":5,"commands":70,"prompt":80,"zipAvailable":81},[71,74,77],{"tool":72,"command":73},"npx","npx skills add Trollz1004\u002FANTIGRAVITY --skill preset",{"tool":75,"command":76},"bunx","bunx skills add Trollz1004\u002FANTIGRAVITY --skill preset",{"tool":78,"command":79},"pnpm","pnpm dlx skills add Trollz1004\u002FANTIGRAVITY --skill preset","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FSKILL.md",true,[83,89,93],{"path":84,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":87,"sourceHtmlUrl":88},"EXAMPLES.md","REFERENCE","参考文档",3234,"https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002FEXAMPLES.md",{"path":90,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":91,"sourceHtmlUrl":92},"references\u002Fpreset-workflow.md",22498,"https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002Freferences\u002Fpreset-workflow.md",{"path":94,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":95,"sourceHtmlUrl":96},"references\u002Fworkflow.md",5763,"https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fpreset\u002Freferences\u002Fworkflow.md",[98,124,162,188,215,239],{"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":102,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":52},"01M6M5BT49KEBHJM9D0P5NM8ED","security-audit","Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full\u002Fcomprehensive\u002Fend-to-end reviews, or requested report artifacts.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsecurity-audit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsecurity-audit\u002FSKILL.md",[],[106,107,108,109,110,111,112,113,114,115,116,117,118,119,28,120,121,122,123,24],"security audit","audit","security","reviews","end","only","workflow","vulnerability","review","libraries","cli","run","Tools","full","complete","security guidance","codebase audit","tests",{"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":128,"licenseFileUrl":129,"sourceHtmlUrl":130,"categories":131,"keywords":143,"publishedAt":52},"01M6M5B16Q534MKFHKBHRZ2773","impeccable","Use when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimpeccable\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimpeccable\u002FSKILL.md",[132,135,138],{"categoryNo":133,"categoryName":134,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":136,"categoryName":137,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":139,"categoryName":140,"taxonomyType":141,"taxonomyTypeDesc":142},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[126,144,145,146,147,148,149,150,111,151,152,153,154,155,114,156,157,158,159,160,161],"ux copy","states","quieter","frontend","improve","design","interface","design systems","effects","simplify","tasks","components","hierarchy","critique","native","product","layout","when",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":166,"sourceHtmlUrl":167,"categories":168,"keywords":173,"publishedAt":52},"01M6M5AHHV2NPZYVMW48HP7A6H","hallmark","Design skill for websites and new pages that look designed, not generated. Use when the user asks to build or design something new, or names Hallmark. Never use it on an existing design unless the user names Hallmark, as in `\u002Fhallmark redesign \u003Cpath>`.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhallmark\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhallmark\u002FSKILL.md",[169,170],{"categoryNo":136,"categoryName":137,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":171,"categoryName":172,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[164,174,175,28,176,177,149,178,24,179,180,181,107,182,183,184,185,186,187,161],"as","never","true","pages","generated","Existing","prompt","build","redesign","look","it","user","path","new",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":128,"licenseFileUrl":192,"sourceHtmlUrl":193,"categories":194,"keywords":199,"publishedAt":52},"01M6CQDXJ785JCD5PMKYD239ZZ","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwebapp-testing\u002FSKILL.md",[195,198],{"categoryNo":196,"categoryName":197,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":133,"categoryName":134,"taxonomyType":21,"taxonomyTypeDesc":22},[200,201,202,203,147,204,205,206,207,208,209,210,211,212,28,213,214],"webapp","testing","webapp testing","applications","debugging","toolkit","logs","browser","playwright","web","behavior","ui","screenshots","local","with",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":219,"sourceHtmlUrl":220,"categories":221,"keywords":222,"publishedAt":52},"01M6CQ5HBDE9Q5WJZXQ7G72MYD","appinsights-instrumentation","Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. USE FOR: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices. DO NOT USE FOR: adding App Insights to my app (use azure-prepare), add telemetry to my project (use azure-prepare), add monitoring (use azure-prepare). This skill provides guidance—azure-prepare orchestrates component changes.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fappinsights-instrumentation\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fappinsights-instrumentation\u002FSKILL.md",[],[223,224,34,47,225,24,226,227,228,229,230,231,232,233,234,235,236,237,238,28],"appinsights instrumentation","instrumentation","telemetry","monitoring","references","component","how","patterns","apm","sdk setup","app","project","insights","how to","my","add",{"skillNo":240,"name":241,"nameZh":6,"description":242,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":243,"categories":244,"keywords":258,"publishedAt":52},"01M6CQNQ5FNDP6K32RKXQ9X157","youtube-automation","YouTube automation: upload, SEO, thumbnails, scheduling, analytics.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002Fops\u002Fskills\u002Fyoutube-automation\u002FSKILL.md",[245,248,251,252,255],{"categoryNo":246,"categoryName":247,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":249,"categoryName":250,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":171,"categoryName":172,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":253,"categoryName":254,"taxonomyType":141,"taxonomyTypeDesc":142},"01JBSEEDCAT000000000000033","数据分析师",{"categoryNo":256,"categoryName":257,"taxonomyType":141,"taxonomyTypeDesc":142},"01JBSEEDCAT000000000000035","市场营销",[259,260,261,262,263,264,265,266,267,268,269,270,271,272],"automation","youtube","youtube automation","windows","seo","linux","scheduling","thumbnails","hermes","analytics","hermes agent","content","macos","upload"]