[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71NWVVJ6JGRC7KBMSDD0AM4":3,"skill-same:01M71NWVVJ6JGRC7KBMSDD0AM4":82},{"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":29,"publishedAt":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":62,"repositoryHtmlUrl":63,"repositoryHomepageUrl":6,"ownerHtmlUrl":64,"ownerBlogUrl":65,"ownerDescription":66,"updatedAt":67,"install":68,"resources":81},"01M71NWVVJ6JGRC7KBMSDD0AM4","azure-aigateway",null,"Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.","iDorgham\u002FWorkspace-Factory","iDorgham","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F136521493?v=4","01M6CNGBDAHE4ARW3YJEF4X2FD","Dorgham","01M71E8H3CXZ7DJX59MTM9JEB2",1,"MIT","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_microsoft_azure_aigateway\u002Fskill.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"azure aigateway","azure","ai models","Safety","rate","token","azure openai","content safety","cli","ai gateway","Jailbreak Detection","api","caching","configure","azure cli","when","MCP","testing","azure api management","model","2026-11-10 10:56:23",false,"---\nname: azure-aigateway\ndescription: \"Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"3.0.1\"\ncompatibility: Requires Azure CLI (az) for configuration and testing\n---\n\n# Azure AI Gateway\n\nConfigure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.\n\n> **To deploy APIM**, use the **azure-prepare** skill. See [APIM deployment guide](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fapi-management\u002Fget-started-create-service-instance).\n\n## When to Use This Skill\n\n| Category | Triggers |\n|----------|----------|\n| **Model Governance** | \"semantic caching\", \"token limits\", \"load balance AI\", \"track token usage\" |\n| **Tool Governance** | \"rate limit MCP\", \"protect my tools\", \"configure my tool\", \"convert API to MCP\" |\n| **Agent Governance** | \"content safety\", \"jailbreak detection\", \"filter harmful content\" |\n| **Configuration** | \"add Azure OpenAI backend\", \"configure my model\", \"add AI Foundry model\" |\n| **Testing** | \"test AI gateway\", \"call OpenAI through gateway\" |\n\n---\n\n## Quick Reference\n\n| Policy | Purpose | Details |\n|--------|---------|---------|\n| `azure-openai-token-limit` | Cost control | Model Policies (`references\u002Fpolicies.md#token-rate-limiting`) |\n| `azure-openai-semantic-cache-lookup\u002Fstore` | 60-80% cost savings | Model Policies (`references\u002Fpolicies.md#semantic-caching`) |\n| `azure-openai-emit-token-metric` | Observability | Model Policies (`references\u002Fpolicies.md#token-metrics`) |\n| `llm-content-safety` | Safety & compliance | Agent Policies (`references\u002Fpolicies.md#content-safety`) |\n| `rate-limit-by-key` | MCP\u002Ftool protection | Tool Policies (`references\u002Fpolicies.md#request-rate-limiting`) |\n\n---\n\n## Get Gateway Details\n\n```bash\n# Get gateway URL\naz apim show --name \u003Capim-name> --resource-group \u003Crg> --query \"gatewayUrl\" -o tsv\n\n# List backends (AI models)\naz apim backend list --service-name \u003Capim-name> --resource-group \u003Crg> \\\n  --query \"[].{id:name, url:url}\" -o table\n\n# Get subscription key\naz apim subscription keys list \\\n  --service-name \u003Capim-name> --resource-group \u003Crg> --subscription-id \u003Csub-id>\n```\n\n---\n\n## Test AI Endpoint\n\n```bash\nGATEWAY_URL=$(az apim show --name \u003Capim-name> --resource-group \u003Crg> --query \"gatewayUrl\" -o tsv)\n\ncurl -X POST \"${GATEWAY_URL}\u002Fopenai\u002Fdeployments\u002F\u003Cdeployment>\u002Fchat\u002Fcompletions?api-version=2024-02-01\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -H \"Ocp-Apim-Subscription-Key: \u003Ckey>\" \\\n  -d '{\"messages\": [{\"role\": \"user\", \"content\": \"Hello\"}], \"max_tokens\": 100}'\n```\n\n---\n\n## Common Tasks\n\n### Add AI Backend\n\nSee references\u002Fpatterns.md (`references\u002Fpatterns.md#pattern-1-add-ai-model-backend`) for full steps.\n\n```bash\n# Discover AI resources\naz cognitiveservices account list --query \"[?kind=='OpenAI']\" -o table\n\n# Create backend\naz apim backend create --service-name \u003Capim> --resource-group \u003Crg> \\\n  --backend-id openai-backend --protocol http --url \"https:\u002F\u002F\u003Caoai>.openai.azure.com\u002Fopenai\"\n\n# Grant access (managed identity)\naz role assignment create --assignee \u003Capim-principal-id> \\\n  --role \"Cognitive Services User\" --scope \u003Caoai-resource-id>\n```\n\n### Apply AI Governance Policy\n\nRecommended policy order in `\u003Cinbound>`:\n\n1. **Authentication** - Managed identity to backend\n2. **Semantic Cache Lookup** - Check cache before calling AI\n3. **Token Limits** - Cost control\n4. **Content Safety** - Filter harmful content\n5. **Backend Selection** - Load balancing\n6. **Metrics** - Token usage tracking\n\nSee references\u002Fpolicies.md (`references\u002Fpolicies.md#combining-policies`) for complete example.\n\n---\n\n## Troubleshooting\n\n| Issue | Solution |\n|-------|----------|\n| Token limit 429 | Increase `tokens-per-minute` or add load balancing |\n| No cache hits | Lower `score-threshold` to 0.7 |\n| Content false positives | Increase category thresholds (5-6) |\n| Backend auth 401 | Grant APIM \"Cognitive Services User\" role |\n\nSee references\u002Ftroubleshooting.md (`references\u002Ftroubleshooting.md`) for details.\n\n---\n\n## References\n\n- **Detailed Policies** (`references\u002Fpolicies.md`) - Full policy examples\n- **Configuration Patterns** (`references\u002Fpatterns.md`) - Step-by-step patterns\n- **Troubleshooting** (`references\u002Ftroubleshooting.md`) - Common issues\n- [AI-Gateway Samples](https:\u002F\u002Fgithub.com\u002FAzure-Samples\u002FAI-Gateway)\n- [GenAI Gateway Docs](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fapi-management\u002Fgenai-gateway-capabilities)\n\n## SDK Quick References\n\n- **Content Safety**: Python (`references\u002Fsdk\u002Fazure_ai_contentsafety_py.md`) | TypeScript (`references\u002Fsdk\u002Fazure_ai_contentsafety_ts.md`)\n- **API Management**: Python (`references\u002Fsdk\u002Fazure_mgmt_apimanagement_py.md`) | .NET (`references\u002Fsdk\u002Fazure_mgmt_apimanagement_dotnet.md`)\n","# Azure AI Gateway\n\nConfigure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.\n\n> **To deploy APIM**, use the **azure-prepare** skill. See [APIM deployment guide](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fapi-management\u002Fget-started-create-service-instance).\n\n## When to Use This Skill\n\n| Category | Triggers |\n|----------|----------|\n| **Model Governance** | \"semantic caching\", \"token limits\", \"load balance AI\", \"track token usage\" |\n| **Tool Governance** | \"rate limit MCP\", \"protect my tools\", \"configure my tool\", \"convert API to MCP\" |\n| **Agent Governance** | \"content safety\", \"jailbreak detection\", \"filter harmful content\" |\n| **Configuration** | \"add Azure OpenAI backend\", \"configure my model\", \"add AI Foundry model\" |\n| **Testing** | \"test AI gateway\", \"call OpenAI through gateway\" |\n\n---\n\n## Quick Reference\n\n| Policy | Purpose | Details |\n|--------|---------|---------|\n| `azure-openai-token-limit` | Cost control | Model Policies (`references\u002Fpolicies.md#token-rate-limiting`) |\n| `azure-openai-semantic-cache-lookup\u002Fstore` | 60-80% cost savings | Model Policies (`references\u002Fpolicies.md#semantic-caching`) |\n| `azure-openai-emit-token-metric` | Observability | Model Policies (`references\u002Fpolicies.md#token-metrics`) |\n| `llm-content-safety` | Safety & compliance | Agent Policies (`references\u002Fpolicies.md#content-safety`) |\n| `rate-limit-by-key` | MCP\u002Ftool protection | Tool Policies (`references\u002Fpolicies.md#request-rate-limiting`) |\n\n---\n\n## Get Gateway Details\n\n```bash\n# Get gateway URL\naz apim show --name \u003Capim-name> --resource-group \u003Crg> --query \"gatewayUrl\" -o tsv\n\n# List backends (AI models)\naz apim backend list --service-name \u003Capim-name> --resource-group \u003Crg> \\\n  --query \"[].{id:name, url:url}\" -o table\n\n# Get subscription key\naz apim subscription keys list \\\n  --service-name \u003Capim-name> --resource-group \u003Crg> --subscription-id \u003Csub-id>\n```\n\n---\n\n## Test AI Endpoint\n\n```bash\nGATEWAY_URL=$(az apim show --name \u003Capim-name> --resource-group \u003Crg> --query \"gatewayUrl\" -o tsv)\n\ncurl -X POST \"${GATEWAY_URL}\u002Fopenai\u002Fdeployments\u002F\u003Cdeployment>\u002Fchat\u002Fcompletions?api-version=2024-02-01\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -H \"Ocp-Apim-Subscription-Key: \u003Ckey>\" \\\n  -d '{\"messages\": [{\"role\": \"user\", \"content\": \"Hello\"}], \"max_tokens\": 100}'\n```\n\n---\n\n## Common Tasks\n\n### Add AI Backend\n\nSee references\u002Fpatterns.md (`references\u002Fpatterns.md#pattern-1-add-ai-model-backend`) for full steps.\n\n```bash\n# Discover AI resources\naz cognitiveservices account list --query \"[?kind=='OpenAI']\" -o table\n\n# Create backend\naz apim backend create --service-name \u003Capim> --resource-group \u003Crg> \\\n  --backend-id openai-backend --protocol http --url \"https:\u002F\u002F\u003Caoai>.openai.azure.com\u002Fopenai\"\n\n# Grant access (managed identity)\naz role assignment create --assignee \u003Capim-principal-id> \\\n  --role \"Cognitive Services User\" --scope \u003Caoai-resource-id>\n```\n\n### Apply AI Governance Policy\n\nRecommended policy order in `\u003Cinbound>`:\n\n1. **Authentication** - Managed identity to backend\n2. **Semantic Cache Lookup** - Check cache before calling AI\n3. **Token Limits** - Cost control\n4. **Content Safety** - Filter harmful content\n5. **Backend Selection** - Load balancing\n6. **Metrics** - Token usage tracking\n\nSee references\u002Fpolicies.md (`references\u002Fpolicies.md#combining-policies`) for complete example.\n\n---\n\n## Troubleshooting\n\n| Issue | Solution |\n|-------|----------|\n| Token limit 429 | Increase `tokens-per-minute` or add load balancing |\n| No cache hits | Lower `score-threshold` to 0.7 |\n| Content false positives | Increase category thresholds (5-6) |\n| Backend auth 401 | Grant APIM \"Cognitive Services User\" role |\n\nSee references\u002Ftroubleshooting.md (`references\u002Ftroubleshooting.md`) for details.\n\n---\n\n## References\n\n- **Detailed Policies** (`references\u002Fpolicies.md`) - Full policy examples\n- **Configuration Patterns** (`references\u002Fpatterns.md`) - Step-by-step patterns\n- **Troubleshooting** (`references\u002Ftroubleshooting.md`) - Common issues\n- [AI-Gateway Samples](https:\u002F\u002Fgithub.com\u002FAzure-Samples\u002FAI-Gateway)\n- [GenAI Gateway Docs](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fapi-management\u002Fgenai-gateway-capabilities)\n\n## SDK Quick References\n\n- **Content Safety**: Python (`references\u002Fsdk\u002Fazure_ai_contentsafety_py.md`) | TypeScript (`references\u002Fsdk\u002Fazure_ai_contentsafety_ts.md`)\n- **API Management**: Python (`references\u002Fsdk\u002Fazure_mgmt_apimanagement_py.md`) | .NET (`references\u002Fsdk\u002Fazure_mgmt_apimanagement_dotnet.md`)\n",{"name":5,"license":15,"metadata":55,"description":7,"compatibility":58},{"author":56,"version":57},"Microsoft","3.0.1","Requires Azure CLI (az) for configuration and testing","master","c2e410e11df4d80d885e0ecf0583ef3c926df736","factory\u002Flibrary\u002Fskills\u002Fofficial_microsoft_azure_aigateway",0,"https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory","https:\u002F\u002Fgithub.com\u002FiDorgham","Dorgham.me","hey I'm Dorgham \r\nI code, I create, and AI codes back. \r\nMaybe we can give AI the chance!! now we begin. 🚀🤖\r\n... . . . git commit -m \"Hello, Future\" ","2026-05-04 18:39:09",{"source":8,"skillName":5,"commands":69,"prompt":79,"zipAvailable":80},[70,73,76],{"tool":71,"command":72},"npx","npx skills add iDorgham\u002FWorkspace-Factory --skill azure-aigateway",{"tool":74,"command":75},"bunx","bunx skills add iDorgham\u002FWorkspace-Factory --skill azure-aigateway",{"tool":77,"command":78},"pnpm","pnpm dlx skills add iDorgham\u002FWorkspace-Factory --skill azure-aigateway","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_microsoft_azure_aigateway\u002Fskill.md",true,[],[83,112,135,157,177,198],{"skillNo":84,"name":85,"nameZh":6,"description":86,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":87,"categories":88,"keywords":92,"publishedAt":111},"01M71P8WVBMB2X3D24R0YT0B0E","vercel-react-view-transitions","Guide for implementing smooth, native-feeling animations using React's View Transition API (`\u003CViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter\u002Fexit of components, animate list reorder, implement directional (forward\u002Fback) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_vercel_labs_react_view_transitions\u002Fskill.md",[89],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[93,94,95,96,97,98,99,100,101,102,103,104,105,106,45,107,41,108,109,110],"react","vercel react view transitions","view","react view transitions","vercel","transitions","shared","back","Animation","css","types","states","element","implementing","components","route","create","libraries","2026-11-10 13:02:02",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":119,"publishedAt":111},"01M71P8TDGHZ289TSAC5VTG2EW","vercel-react-native-skills","React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_vercel_labs_react_native_skills\u002Fskill.md",[118],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},[93,120,121,97,122,123,124,125,106,126,45,127,107,128,129,130,131,132,133,134],"react native","native","vercel react native skills","react native skills","modules","performance","apps","tasks","mobile","expo","list","mobile performance","platform","animations","for",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":142,"publishedAt":111},"01M71P8QK4JF5BYRGYDDGPZQG9","vercel-react-best-practices","React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_vercel_labs_react_best_practices\u002Fskill.md",[141],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},[93,143,144,97,145,125,146,45,147,127,107,148,149,150,151,152,153,154,155,156],"react best practices","vercel react best practices","best practices","writing","code","data fetching","react components","next","refactoring","data","patterns","Optimization","guidelines","triggers",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":164,"publishedAt":111},"01M71P8HVEA70K5N6ZVJCG2ED3","vercel-composition-patterns","React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_vercel_labs_composition_patterns\u002Fskill.md",[163],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},[165,97,166,153,167,168,169,170,156,171,172,173,45,174,127,107,175,176,41,93],"Composition","composition patterns","vercel composition patterns","react composition patterns","react 19","render","boolean","component architecture","use","reusable","architecture","react composition",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":184,"publishedAt":111},"01M71P60XXKKP222ZFJRG7R373","supabase-postgres-best-practices","Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_supabase_supabase_postgres_best_practices\u002Fskill.md",[183],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[185,186,187,188,145,189,190,191,134,154,125,192,193,146,194,173,195,196,197,45],"postgres best practices","supabase","postgres","supabase postgres best practices","categories","postgres performance","advanced","correct","schema","impact","Rules","critical","database",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":205,"publishedAt":50},"01M71P2ZCEJD0PKC458YTP1FJW","portable-text-serialization","Render and serialize Portable Text to React, Svelte, Vue, Astro, HTML, Markdown, and plain text. Use when implementing Portable Text rendering in any frontend framework, building custom serializers for non-standard block types, converting Portable Text to HTML strings server-side, converting Portable Text to Markdown, extracting plain text from Portable Text, or troubleshooting rendering issues with marks, blocks, lists, or custom types.","https:\u002F\u002Fgithub.com\u002FiDorgham\u002FWorkspace-Factory\u002Fblob\u002Fmaster\u002Ffactory\u002Flibrary\u002Fskills\u002Fofficial_sanity_io_portable_text_serialization\u002Fskill.md",[204],{"categoryNo":90,"categoryName":91,"taxonomyType":21,"taxonomyTypeDesc":22},[206,207,208,209,210,103,211,170,212,106,213,214,45,93,215,216,217,218,219,220],"text","portable text serialization","portable","serialization","extracting","strings","issues","frontend","svelte","sanity","astro","server","markdown","rendering","vue"]