[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AE1844Z6NMFX22PC5CNE67":3,"skill-same:01M6AE1844Z6NMFX22PC5CNE67":99},{"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":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":54,"ownerHtmlUrl":55,"ownerBlogUrl":56,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6AE1844Z6NMFX22PC5CNE67","qdrant-clients-sdk",null,"Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41046,"MIT","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fqdrant-clients-sdk\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"sdk","Qdrant","qdrant clients sdk","clients","integration","Bash","programming","grep","read","deployments","easy","programming languages","client","with","sdks","for","2026-11-10 10:12:30",false,"---\nname: qdrant-clients-sdk\ndescription: \"Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.\"\nallowed-tools:\n  - Read\n  - Grep\n  - Glob\n  - Bash\n---\n\n# Qdrant Clients SDK\n\nQdrant has the following officially supported client SDKs:\n\n- Python — [qdrant-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant-client) · Installation: `pip install qdrant-client[fastembed]`\n- JavaScript \u002F TypeScript — [qdrant-js](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant-js) · Installation: `npm install @qdrant\u002Fjs-client-rest`\n- Rust — [rust-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Frust-client) · Installation: `cargo add qdrant-client`\n- Go — [go-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fgo-client) · Installation: `go get github.com\u002Fqdrant\u002Fgo-client`\n- .NET — [qdrant-dotnet](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant-dotnet) · Installation: `dotnet add package Qdrant.Client`\n- Java — [java-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fjava-client) · Available on Maven Central: https:\u002F\u002Fcentral.sonatype.com\u002Fartifact\u002Fio.qdrant\u002Fclient\n\n\n## API Reference\n\nAll interaction with Qdrant can happen through the REST API or gRPC API. We recommend using the REST API if you are using Qdrant for the first time or working on a prototype.\n\n* REST API - [OpenAPI Reference](https:\u002F\u002Fapi.qdrant.tech\u002Fapi-reference) - [GitHub](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant\u002Fblob\u002Fmaster\u002Fdocs\u002Fredoc\u002Fmaster\u002Fopenapi.json)\n* gRPC API - [gRPC protobuf definitions](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant\u002Ftree\u002Fmaster\u002Flib\u002Fapi\u002Fsrc\u002Fgrpc\u002Fproto)\n\n## Code examples\n\nTo obtain code examples for a specific client and use case, you can send a search request to the library of curated code snippets for the Qdrant client.\n\n```bash\ncurl -X GET \"https:\u002F\u002Fsnippets.qdrant.tech\u002Fsearch?language=python&query=how+to+upload+points\"\n```\n\nAvailable languages: `python`, `typescript`, `rust`, `java`, `go`, `csharp`\n\n\nResponse example:\n\n```markdown\n\n## Snippet 1\n\n*qdrant-client* (vlatest) — https:\u002F\u002Fsearch.qdrant.tech\u002Fmd\u002Fdocumentation\u002Fmanage-data\u002Fpoints\u002F\n\nUploads multiple vector-embedded points to a Qdrant collection using the Python qdrant_client (PointStruct) with id, payload (e.g., color), and a 3D-like vector for similarity search. It supports parallel uploads (parallel=4) and a retry policy (max_retries=3) for robust indexing. The operation is idempotent: re-uploading with the same id overwrites existing points; if ids aren’t provided, Qdrant auto-generates UUIDs.\n\nclient.upload_points(\n    collection_name=\"{collection_name}\",\n    points=[\n        models.PointStruct(\n            id=1,\n            payload={\n                \"color\": \"red\",\n            },\n            vector=[0.9, 0.1, 0.1],\n        ),\n        models.PointStruct(\n            id=2,\n            payload={\n                \"color\": \"green\",\n            },\n            vector=[0.1, 0.9, 0.1],\n        ),\n    ],\n    parallel=4,\n    max_retries=3,\n)\n```\n\nDefault response format is markdown, if snippet output is required in JSON format, you can add `&format=json` to the query string.\n","# Qdrant Clients SDK\n\nQdrant has the following officially supported client SDKs:\n\n- Python — [qdrant-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant-client) · Installation: `pip install qdrant-client[fastembed]`\n- JavaScript \u002F TypeScript — [qdrant-js](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant-js) · Installation: `npm install @qdrant\u002Fjs-client-rest`\n- Rust — [rust-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Frust-client) · Installation: `cargo add qdrant-client`\n- Go — [go-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fgo-client) · Installation: `go get github.com\u002Fqdrant\u002Fgo-client`\n- .NET — [qdrant-dotnet](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant-dotnet) · Installation: `dotnet add package Qdrant.Client`\n- Java — [java-client](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fjava-client) · Available on Maven Central: https:\u002F\u002Fcentral.sonatype.com\u002Fartifact\u002Fio.qdrant\u002Fclient\n\n\n## API Reference\n\nAll interaction with Qdrant can happen through the REST API or gRPC API. We recommend using the REST API if you are using Qdrant for the first time or working on a prototype.\n\n* REST API - [OpenAPI Reference](https:\u002F\u002Fapi.qdrant.tech\u002Fapi-reference) - [GitHub](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant\u002Fblob\u002Fmaster\u002Fdocs\u002Fredoc\u002Fmaster\u002Fopenapi.json)\n* gRPC API - [gRPC protobuf definitions](https:\u002F\u002Fgithub.com\u002Fqdrant\u002Fqdrant\u002Ftree\u002Fmaster\u002Flib\u002Fapi\u002Fsrc\u002Fgrpc\u002Fproto)\n\n## Code examples\n\nTo obtain code examples for a specific client and use case, you can send a search request to the library of curated code snippets for the Qdrant client.\n\n```bash\ncurl -X GET \"https:\u002F\u002Fsnippets.qdrant.tech\u002Fsearch?language=python&query=how+to+upload+points\"\n```\n\nAvailable languages: `python`, `typescript`, `rust`, `java`, `go`, `csharp`\n\n\nResponse example:\n\n```markdown\n\n## Snippet 1\n\n*qdrant-client* (vlatest) — https:\u002F\u002Fsearch.qdrant.tech\u002Fmd\u002Fdocumentation\u002Fmanage-data\u002Fpoints\u002F\n\nUploads multiple vector-embedded points to a Qdrant collection using the Python qdrant_client (PointStruct) with id, payload (e.g., color), and a 3D-like vector for similarity search. It supports parallel uploads (parallel=4) and a retry policy (max_retries=3) for robust indexing. The operation is idempotent: re-uploading with the same id overwrites existing points; if ids aren’t provided, Qdrant auto-generates UUIDs.\n\nclient.upload_points(\n    collection_name=\"{collection_name}\",\n    points=[\n        models.PointStruct(\n            id=1,\n            payload={\n                \"color\": \"red\",\n            },\n            vector=[0.9, 0.1, 0.1],\n        ),\n        models.PointStruct(\n            id=2,\n            payload={\n                \"color\": \"green\",\n            },\n            vector=[0.1, 0.9, 0.1],\n        ),\n    ],\n    parallel=4,\n    max_retries=3,\n)\n```\n\nDefault response format is markdown, if snippet output is required in JSON format, you can add `&format=json` to the query string.\n",{"name":5,"description":7,"allowed-tools":45},[46,47,48,29],"Read","Grep","Glob","main","5269f7ea2d6c3a9bfda5ed878b6726cf509121fd","skills\u002Fqdrant-clients-sdk",5340,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot","https:\u002F\u002Fawesome-copilot.github.com\u002F","https:\u002F\u002Fgithub.com\u002Fgithub","https:\u002F\u002Fgithub.com\u002Fabout","How people build software.","2026-11-11 13:41:32",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add github\u002Fawesome-copilot --skill qdrant-clients-sdk",{"tool":65,"command":66},"bunx","bunx skills add github\u002Fawesome-copilot --skill qdrant-clients-sdk",{"tool":68,"command":69},"pnpm","pnpm dlx skills add github\u002Fawesome-copilot --skill qdrant-clients-sdk","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fqdrant-clients-sdk\u002FSKILL.md",true,[73,79,83,87,91,95],{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"references\u002Flark-apps-access-scope-get.md","REFERENCE","参考文档",2970,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Flark-apps\u002Freferences\u002Flark-apps-access-scope-get.md",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"references\u002Flark-apps-access-scope-set.md",4033,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Flark-apps\u002Freferences\u002Flark-apps-access-scope-set.md",{"path":84,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002Flark-apps-create.md",3169,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Flark-apps\u002Freferences\u002Flark-apps-create.md",{"path":88,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Flark-apps-html-publish.md",5192,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Flark-apps\u002Freferences\u002Flark-apps-html-publish.md",{"path":92,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":93,"sourceHtmlUrl":94},"references\u002Flark-apps-list.md",2878,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Flark-apps\u002Freferences\u002Flark-apps-list.md",{"path":96,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":97,"sourceHtmlUrl":98},"references\u002Flark-apps-update.md",2092,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Flark-apps\u002Freferences\u002Flark-apps-update.md",[100,133,160,186,220,237],{"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":114,"publishedAt":40},"01M70KXZNX9ES38N2A8M58ZZMZ","supabase-rls-policies","Write, review, and test Supabase Row Level Security (RLS) policies so that one user cannot read or change another user's rows. Use when creating or changing tables, policies, views, or security definer functions in a Supabase project, when reviewing a migration that touches RLS, or when asked to prove user isolation with pgTAP tests that sign in as two users.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsupabase-rls-policies\u002FSKILL.md",[106,111],{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":112,"categoryName":113,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000023","Skill与智能体开发",[115,116,117,118,119,120,121,122,32,123,124,125,126,127,128,129,130,131,132,37],"supabase","rls","supabase rls","supabase rls policies","project","when","review","change","write","security","isolation","tables","as","tests","prove","use","users","functions",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":140,"publishedAt":40},"01M70KWA5YWXDV6V8DZ19E3T2Y","skill-distribution-audit","Audit a skill collection before release or investigate installer omissions, archived\u002Ftemplate leakage, duplicate identities, and manifest drift. Reconcile the intended public source set, distribution manifest, and actual discovery output for a specified consumer version. Includes a deterministic set-comparison helper.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fskill-distribution-audit\u002FSKILL.md",[139],{"categoryNo":112,"categoryName":113,"taxonomyType":109,"taxonomyTypeDesc":110},[141,142,143,144,145,146,39,147,148,149,150,151,152,153,154,155,156,157,158,159],"distribution","skill distribution audit","audit","SET","deterministic","installer","discovery","comparison","helper","manifest","version","collection","drift","output","investigate","duplicate","template","release","reconcile",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":164,"sourceHtmlUrl":165,"categories":166,"keywords":168,"publishedAt":40},"01M70KCJPFVW7PPQ49CC5R8JGK","logicapps-custom-code-net10-migration","Migrate Azure Logic Apps Standard local-function custom-code projects from .NET 8 to .NET 10. Use for legacy Logic Apps custom-code workspace upgrades, project\u002Fpackage configuration, custom-worker settings, publication, and integrated VS Code debugging. Not for ordinary .NET applications, standalone Azure Functions, Consumption workflows, or cloud deployment.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Flogicapps-custom-code-net10-migration\u002FSKILL.md",[167],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[169,170,171,172,173,174,39,119,175,176,177,178,179,180,181,130,182,183,184,185],"custom","code","logicapps custom code net10 migration","migration","projects","standalone","deployment","applications","local","azure","worker","upgrades","package","apps","Legacy","debugging","workflows",{"skillNo":187,"name":188,"nameZh":6,"description":189,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":190,"sourceHtmlUrl":191,"categories":192,"keywords":197,"publishedAt":40},"01M6AEBN37RQMXJ3298PEY7PG1","winmd-api-search","Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI\u002FML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fwinmd-api-search\u002FSKILL.md",[193,196],{"categoryNo":194,"categoryName":195,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,120,213,214,215,216,217,39,218,219],"winmd api search","search","api","windows","desktop","file access","enumeration","ui","ml","file","networking","capabilities","notifications","explore","access","features","full","camera","events","platform","methods","controls",{"skillNo":221,"name":222,"nameZh":6,"description":223,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":224,"licenseFileUrl":225,"sourceHtmlUrl":226,"categories":227,"keywords":233,"publishedAt":40},"01M6AE571R3SC1ZGE202B3NB5S","resemble-detect","Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fresemble-detect\u002FSKILL.md",[228,229,232],{"categoryNo":194,"categoryName":195,"taxonomyType":109,"taxonomyTypeDesc":110},{"categoryNo":230,"categoryName":231,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":112,"categoryName":113,"taxonomyType":109,"taxonomyTypeDesc":110},[234,144,207,235,236],"resemble detect","https","identity",{"skillNo":238,"name":239,"nameZh":6,"description":240,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":224,"licenseFileUrl":241,"sourceHtmlUrl":242,"categories":243,"keywords":248,"publishedAt":40},"01M6AE30BSK2HCY4TQQ22Z8JRD","quality-playbook","Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fquality-playbook\u002FSKILL.md",[244,247],{"categoryNo":245,"categoryName":246,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":112,"categoryName":113,"taxonomyType":109,"taxonomyTypeDesc":110},[249,250,251,252,170,121,9,143,253,254,235,255,256,257,258,259,260,261,262,263,264,265,128,266,267,268,269],"playbook","quality playbook","quality","code review","tdd","run","report","spec","bug report","council","engineering","functional","spec audit","bug","verified","multi-model","three","coverage","model","regression","structural"]