[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70G6SSG4WJXH0PC7PZH2HVX":3,"skill-same:01M70G6SSG4WJXH0PC7PZH2HVX":68},{"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":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":49,"ownerHtmlUrl":50,"ownerBlogUrl":51,"ownerDescription":52,"updatedAt":53,"install":54,"resources":67},"01M70G6SSG4WJXH0PC7PZH2HVX","multi-cloud-architecture",null,"Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.","shengdabai\u002FTony-Claude-Code-Skills","shengdabai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F116417419?v=4","01M70F6D2WY5PQV5A92BKYJQEW","Tony Sheng","01M70F6D3GAAAYZ5H4CC1G8VXM",3,"MIT","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Fplugins\u002Fcloud-infrastructure\u002Fskills\u002Fmulti-cloud-architecture\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"cloud architecture","multi cloud architecture","multi cloud","multi","cloud","architecture","multi-cloud","azure","architectures","framework","Providers","integrate","lock","breed","gcp","across","when","design","decision","select","2026-11-10 10:12:30",false,"---\nname: multi-cloud-architecture\ndescription: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.\n---\n\n# Multi-Cloud Architecture\n\nDecision framework and patterns for architecting applications across AWS, Azure, and GCP.\n\n## Purpose\n\nDesign cloud-agnostic architectures and make informed decisions about service selection across cloud providers.\n\n## When to Use\n\n- Design multi-cloud strategies\n- Migrate between cloud providers\n- Select cloud services for specific workloads\n- Implement cloud-agnostic architectures\n- Optimize costs across providers\n\n## Cloud Service Comparison\n\n### Compute Services\n\n| AWS | Azure | GCP | Use Case |\n|-----|-------|-----|----------|\n| EC2 | Virtual Machines | Compute Engine | IaaS VMs |\n| ECS | Container Instances | Cloud Run | Containers |\n| EKS | AKS | GKE | Kubernetes |\n| Lambda | Functions | Cloud Functions | Serverless |\n| Fargate | Container Apps | Cloud Run | Managed containers |\n\n### Storage Services\n\n| AWS | Azure | GCP | Use Case |\n|-----|-------|-----|----------|\n| S3 | Blob Storage | Cloud Storage | Object storage |\n| EBS | Managed Disks | Persistent Disk | Block storage |\n| EFS | Azure Files | Filestore | File storage |\n| Glacier | Archive Storage | Archive Storage | Cold storage |\n\n### Database Services\n\n| AWS | Azure | GCP | Use Case |\n|-----|-------|-----|----------|\n| RDS | SQL Database | Cloud SQL | Managed SQL |\n| DynamoDB | Cosmos DB | Firestore | NoSQL |\n| Aurora | PostgreSQL\u002FMySQL | Cloud Spanner | Distributed SQL |\n| ElastiCache | Cache for Redis | Memorystore | Caching |\n\n**Reference:** See `references\u002Fservice-comparison.md` for complete comparison\n\n## Multi-Cloud Patterns\n\n### Pattern 1: Single Provider with DR\n\n- Primary workload in one cloud\n- Disaster recovery in another\n- Database replication across clouds\n- Automated failover\n\n### Pattern 2: Best-of-Breed\n\n- Use best service from each provider\n- AI\u002FML on GCP\n- Enterprise apps on Azure\n- General compute on AWS\n\n### Pattern 3: Geographic Distribution\n\n- Serve users from nearest cloud region\n- Data sovereignty compliance\n- Global load balancing\n- Regional failover\n\n### Pattern 4: Cloud-Agnostic Abstraction\n\n- Kubernetes for compute\n- PostgreSQL for database\n- S3-compatible storage (MinIO)\n- Open source tools\n\n## Cloud-Agnostic Architecture\n\n### Use Cloud-Native Alternatives\n\n- **Compute:** Kubernetes (EKS\u002FAKS\u002FGKE)\n- **Database:** PostgreSQL\u002FMySQL (RDS\u002FSQL Database\u002FCloud SQL)\n- **Message Queue:** Apache Kafka (MSK\u002FEvent Hubs\u002FConfluent)\n- **Cache:** Redis (ElastiCache\u002FAzure Cache\u002FMemorystore)\n- **Object Storage:** S3-compatible API\n- **Monitoring:** Prometheus\u002FGrafana\n- **Service Mesh:** Istio\u002FLinkerd\n\n### Abstraction Layers\n\n```\nApplication Layer\n    ↓\nInfrastructure Abstraction (Terraform)\n    ↓\nCloud Provider APIs\n    ↓\nAWS \u002F Azure \u002F GCP\n```\n\n## Cost Comparison\n\n### Compute Pricing Factors\n\n- **AWS:** On-demand, Reserved, Spot, Savings Plans\n- **Azure:** Pay-as-you-go, Reserved, Spot\n- **GCP:** On-demand, Committed use, Preemptible\n\n### Cost Optimization Strategies\n\n1. Use reserved\u002Fcommitted capacity (30-70% savings)\n2. Leverage spot\u002Fpreemptible instances\n3. Right-size resources\n4. Use serverless for variable workloads\n5. Optimize data transfer costs\n6. Implement lifecycle policies\n7. Use cost allocation tags\n8. Monitor with cloud cost tools\n\n**Reference:** See `references\u002Fmulti-cloud-patterns.md`\n\n## Migration Strategy\n\n### Phase 1: Assessment\n- Inventory current infrastructure\n- Identify dependencies\n- Assess cloud compatibility\n- Estimate costs\n\n### Phase 2: Pilot\n- Select pilot workload\n- Implement in target cloud\n- Test thoroughly\n- Document learnings\n\n### Phase 3: Migration\n- Migrate workloads incrementally\n- Maintain dual-run period\n- Monitor performance\n- Validate functionality\n\n### Phase 4: Optimization\n- Right-size resources\n- Implement cloud-native services\n- Optimize costs\n- Enhance security\n\n## Best Practices\n\n1. **Use infrastructure as code** (Terraform\u002FOpenTofu)\n2. **Implement CI\u002FCD pipelines** for deployments\n3. **Design for failure** across clouds\n4. **Use managed services** when possible\n5. **Implement comprehensive monitoring**\n6. **Automate cost optimization**\n7. **Follow security best practices**\n8. **Document cloud-specific configurations**\n9. **Test disaster recovery** procedures\n10. **Train teams** on multiple clouds\n\n## Reference Files\n\n- `references\u002Fservice-comparison.md` - Complete service comparison\n- `references\u002Fmulti-cloud-patterns.md` - Architecture patterns\n\n## Related Skills\n\n- `terraform-module-library` - For IaC implementation\n- `cost-optimization` - For cost management\n- `hybrid-cloud-networking` - For connectivity\n","# Multi-Cloud Architecture\n\nDecision framework and patterns for architecting applications across AWS, Azure, and GCP.\n\n## Purpose\n\nDesign cloud-agnostic architectures and make informed decisions about service selection across cloud providers.\n\n## When to Use\n\n- Design multi-cloud strategies\n- Migrate between cloud providers\n- Select cloud services for specific workloads\n- Implement cloud-agnostic architectures\n- Optimize costs across providers\n\n## Cloud Service Comparison\n\n### Compute Services\n\n| AWS | Azure | GCP | Use Case |\n|-----|-------|-----|----------|\n| EC2 | Virtual Machines | Compute Engine | IaaS VMs |\n| ECS | Container Instances | Cloud Run | Containers |\n| EKS | AKS | GKE | Kubernetes |\n| Lambda | Functions | Cloud Functions | Serverless |\n| Fargate | Container Apps | Cloud Run | Managed containers |\n\n### Storage Services\n\n| AWS | Azure | GCP | Use Case |\n|-----|-------|-----|----------|\n| S3 | Blob Storage | Cloud Storage | Object storage |\n| EBS | Managed Disks | Persistent Disk | Block storage |\n| EFS | Azure Files | Filestore | File storage |\n| Glacier | Archive Storage | Archive Storage | Cold storage |\n\n### Database Services\n\n| AWS | Azure | GCP | Use Case |\n|-----|-------|-----|----------|\n| RDS | SQL Database | Cloud SQL | Managed SQL |\n| DynamoDB | Cosmos DB | Firestore | NoSQL |\n| Aurora | PostgreSQL\u002FMySQL | Cloud Spanner | Distributed SQL |\n| ElastiCache | Cache for Redis | Memorystore | Caching |\n\n**Reference:** See `references\u002Fservice-comparison.md` for complete comparison\n\n## Multi-Cloud Patterns\n\n### Pattern 1: Single Provider with DR\n\n- Primary workload in one cloud\n- Disaster recovery in another\n- Database replication across clouds\n- Automated failover\n\n### Pattern 2: Best-of-Breed\n\n- Use best service from each provider\n- AI\u002FML on GCP\n- Enterprise apps on Azure\n- General compute on AWS\n\n### Pattern 3: Geographic Distribution\n\n- Serve users from nearest cloud region\n- Data sovereignty compliance\n- Global load balancing\n- Regional failover\n\n### Pattern 4: Cloud-Agnostic Abstraction\n\n- Kubernetes for compute\n- PostgreSQL for database\n- S3-compatible storage (MinIO)\n- Open source tools\n\n## Cloud-Agnostic Architecture\n\n### Use Cloud-Native Alternatives\n\n- **Compute:** Kubernetes (EKS\u002FAKS\u002FGKE)\n- **Database:** PostgreSQL\u002FMySQL (RDS\u002FSQL Database\u002FCloud SQL)\n- **Message Queue:** Apache Kafka (MSK\u002FEvent Hubs\u002FConfluent)\n- **Cache:** Redis (ElastiCache\u002FAzure Cache\u002FMemorystore)\n- **Object Storage:** S3-compatible API\n- **Monitoring:** Prometheus\u002FGrafana\n- **Service Mesh:** Istio\u002FLinkerd\n\n### Abstraction Layers\n\n```\nApplication Layer\n    ↓\nInfrastructure Abstraction (Terraform)\n    ↓\nCloud Provider APIs\n    ↓\nAWS \u002F Azure \u002F GCP\n```\n\n## Cost Comparison\n\n### Compute Pricing Factors\n\n- **AWS:** On-demand, Reserved, Spot, Savings Plans\n- **Azure:** Pay-as-you-go, Reserved, Spot\n- **GCP:** On-demand, Committed use, Preemptible\n\n### Cost Optimization Strategies\n\n1. Use reserved\u002Fcommitted capacity (30-70% savings)\n2. Leverage spot\u002Fpreemptible instances\n3. Right-size resources\n4. Use serverless for variable workloads\n5. Optimize data transfer costs\n6. Implement lifecycle policies\n7. Use cost allocation tags\n8. Monitor with cloud cost tools\n\n**Reference:** See `references\u002Fmulti-cloud-patterns.md`\n\n## Migration Strategy\n\n### Phase 1: Assessment\n- Inventory current infrastructure\n- Identify dependencies\n- Assess cloud compatibility\n- Estimate costs\n\n### Phase 2: Pilot\n- Select pilot workload\n- Implement in target cloud\n- Test thoroughly\n- Document learnings\n\n### Phase 3: Migration\n- Migrate workloads incrementally\n- Maintain dual-run period\n- Monitor performance\n- Validate functionality\n\n### Phase 4: Optimization\n- Right-size resources\n- Implement cloud-native services\n- Optimize costs\n- Enhance security\n\n## Best Practices\n\n1. **Use infrastructure as code** (Terraform\u002FOpenTofu)\n2. **Implement CI\u002FCD pipelines** for deployments\n3. **Design for failure** across clouds\n4. **Use managed services** when possible\n5. **Implement comprehensive monitoring**\n6. **Automate cost optimization**\n7. **Follow security best practices**\n8. **Document cloud-specific configurations**\n9. **Test disaster recovery** procedures\n10. **Train teams** on multiple clouds\n\n## Reference Files\n\n- `references\u002Fservice-comparison.md` - Complete service comparison\n- `references\u002Fmulti-cloud-patterns.md` - Architecture patterns\n\n## Related Skills\n\n- `terraform-module-library` - For IaC implementation\n- `cost-optimization` - For cost management\n- `hybrid-cloud-networking` - For connectivity\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002F_collections\u002Fplugins\u002Fcloud-infrastructure\u002Fskills\u002Fmulti-cloud-architecture",1,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills","https:\u002F\u002Fzturnsgo.com","https:\u002F\u002Fgithub.com\u002Fshengdabai","https:\u002F\u002Fzturnsgo.com\u002F","AI × education creator — producer, not consumer. Taught 6,000+ learners; shipping learning tools & daily essays with Claude Code, practicing @xiaolai's way 🥋","2026-11-01 21:28:23",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill multi-cloud-architecture",{"tool":60,"command":61},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill multi-cloud-architecture",{"tool":63,"command":64},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill multi-cloud-architecture","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002F_collections\u002Fplugins\u002Fcloud-infrastructure\u002Fskills\u002Fmulti-cloud-architecture\u002FSKILL.md",true,[],[69,88,121,147,169,189],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":80,"publishedAt":39},"01M70P17DAD4C1C47NPH6A96EM","xiaolai-methodology","以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 \"李笑来\"、\"笑来\"、\"笑来老师\"、\"扮演李笑来\"、\"找笑来聊聊\"、\"笑来怎么看\"、\"xiaolai\"、\"把时间当作朋友\"、\"通往财富自由之路\"、\"定投改变命运\"、\"韭菜的自我修养\"、\"自学是门手艺\"、\"让时间陪你慢慢变富\"、\"七年就是一辈子\"、\"元认知\"、\"活在未来\"、\"复利\u002F长期主义\"、\"践行\"、\"痴迷改进\"、\"个人商业模式\u002F出售时间\"、\"睡后收入\"、\"定投\"、\"财富自由\"、\"操作系统升级\"、\"最少必要知识\"、\"北极星提示词\"、\"用 AI 该怎么学\u002F思考\" 等任一触发词,或当用户带着关于创业\u002F赚钱\u002F投资\u002F学习\u002F职业\u002F重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fxiaolai-methodology\u002FSKILL.md",[75],{"categoryNo":76,"categoryName":77,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",[81,82,83,84,85,86,87],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":102,"publishedAt":39},"01M70P13NB9YP7ACJR1S861CDS","zread","Produce and consume a wiki-style knowledge base for a code repository via the `zread` CLI and its on-disk output under `.\u002F.zread\u002Fwiki\u002F`. Use this skill whenever the user wants to understand, onboard onto, explore, summarize, map, or get an overview of an unfamiliar codebase; asks for architecture docs, a project wiki, a repo walkthrough, module\u002Fpackage explanations, or \"what does this repo do\"; wants to generate, regenerate, resume, browse, or serve code documentation locally; or mentions zread \u002F zread.ai directly. Also use it proactively before diving into a large unknown repo — if `.\u002F.zread\u002Fwiki\u002Fcurrent` exists, read the generated pages instead of crawling source file-by-file; if it doesn't, consider offering to run `zread generate`. The trigger is the intent (understand a codebase through generated docs), not the literal word \"zread\".","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fzread\u002FSKILL.md",[94,97],{"categoryNo":95,"categoryName":96,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[90,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,24,118,119,120],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","documentation","project wiki","disk","code","unknown","generated",{"skillNo":122,"name":123,"nameZh":6,"description":124,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":125,"categories":126,"keywords":131,"publishedAt":39},"01M70P10S4SWMZQ8BJAFBFDRW3","youtube","Launch the YouTube Creator Agent to auto-generate videos.\nUse when: user types \u002Fyoutube, wants to create YouTube videos,\ngenerate video content, or upload to YouTube.\nKeywords: youtube, video, 视频, 创作视频, 发布视频","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",[127,128],{"categoryNo":95,"categoryName":96,"taxonomyType":78,"taxonomyTypeDesc":79},{"categoryNo":129,"categoryName":130,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000036","内容创作者",[123,132,133,134,135,136,137,138,111,139,140,141,35,142,143,144,145,146],"user","content","视频","creator","generate video","videos","launch","video content","create","upload","use","auto","types","Video","创作",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":154,"publishedAt":39},"01M70P0YE95D8BACZCGV8BK90K","youtube-script-sync","Sync, update, or optimize Tony's GetNote knowledge base `Youtube视频逐字稿` by turning each parent recording or first-person idea note into an idempotent child note containing a directly recordable YouTube long-video or Shorts script. Use when the user says “更新\u002F同步\u002F优化 Youtube视频逐字稿知识库”, or says “更新\u002F同步\u002F优化该知识库” while this knowledge base is the active context.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube-script-sync\u002FSKILL.md",[153],{"categoryNo":95,"categoryName":96,"taxonomyType":78,"taxonomyTypeDesc":79},[155,156,123,157,158,145,159,160,161,162,163,164,165,166,109,167,35,142,103,168],"sync","script","youtube script sync","recording","shorts","first","base","person","update","active","child","optimize","idempotent","long",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":179,"publishedAt":39},"01M70P0WMV5XT0EEC0N445PW07","writing-skills","How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing Claude Code skills.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-skills\u002FSKILL.md",[175,176,177,178],{"categoryNo":76,"categoryName":77,"taxonomyType":78,"taxonomyTypeDesc":79},{"categoryNo":95,"categoryName":96,"taxonomyType":78,"taxonomyTypeDesc":79},{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":129,"categoryName":130,"taxonomyType":100,"taxonomyTypeDesc":101},[180,86,181,182,183,184,118,35,142,185,186,187,188],"writing skills","how","teach","write skill","write","claude code skills","files","how to","trigger",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":197,"publishedAt":39},"01M70P0SJFR4YVJQBGMHKGSKXT","writing-rules","How to write .claude\u002Frules\u002F files that Claude actually follows. Use when creating, improving, or reviewing project rules.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-rules\u002FSKILL.md",[195,196],{"categoryNo":76,"categoryName":77,"taxonomyType":78,"taxonomyTypeDesc":79},{"categoryNo":129,"categoryName":130,"taxonomyType":100,"taxonomyTypeDesc":101},[198,86,199,107,200,186,35,181,184,142,187],"Rules","writing rules","project rules"]