[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-zoom-meeting-sdk-linux":3,"mdc-q6lw59-key":39,"related-org-openai-zoom-meeting-sdk-linux":3392,"related-repo-openai-zoom-meeting-sdk-linux":3598},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":28,"repoUrl":29,"updatedAt":30,"license":31,"forks":32,"topics":33,"repo":34,"sourceUrl":37,"mdContent":38},"zoom-meeting-sdk-linux","build Zoom meeting bots for Linux","Zoom Meeting SDK for Linux - C++ headless meeting bots with raw audio\u002Fvideo access, transcription, recording, and AI integration for server-side automation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22,25],{"name":13,"slug":14,"type":15},"Automation","automation","tag",{"name":17,"slug":18,"type":15},"Linux","linux",{"name":20,"slug":21,"type":15},"C#","c",{"name":23,"slug":24,"type":15},"Audio","audio",{"name":26,"slug":27,"type":15},"Zoom","zoom",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102",null,465,[],{"repoUrl":29,"stars":28,"forks":32,"topics":35,"description":36},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fzoom\u002Fskills\u002Fmeeting-sdk\u002Flinux","---\nname: zoom-meeting-sdk-linux\ndescription: \"Zoom Meeting SDK for Linux - C++ headless meeting bots with raw audio\u002Fvideo access, transcription, recording, and AI integration for server-side automation\"\n---\n\n# Zoom Meeting SDK - Linux Development\n\nExpert guidance for building headless meeting bots with the Zoom Meeting SDK on Linux. This SDK enables server-side meeting participation, raw media capture, transcription, and AI-powered meeting automation.\n\n## How to Build a Meeting Bot That Automatically Joins and Records\n\nUse this skill when the requirement is:\n- visible bot joins a real Zoom meeting\n- the bot records raw media itself\n- or the bot triggers a Zoom-managed cloud-recording workflow after join\n\nSkill chain:\n- primary: `meeting-sdk\u002Flinux`\n- add `zoom-rest-api` for OBF\u002FZAK lookup, scheduling, or cloud-recording settings\n- add `zoom-webhooks` when post-meeting cloud recording retrieval is required\n\nMinimal raw-recording flow:\n\n```cpp\nJoinParam join_param;\njoin_param.userType = SDK_UT_WITHOUT_LOGIN;\nauto& params = join_param.param.withoutloginuserJoin;\nparams.meetingNumber = meeting_number;\nparams.userName = \"Recording Bot\";\nparams.psw = meeting_password.c_str();\nparams.app_privilege_token = obf_token.c_str();\n\nSDKError join_err = meeting_service->Join(join_param);\nif (join_err != SDKERR_SUCCESS) {\n    throw std::runtime_error(\"join_failed\");\n}\n\n\u002F\u002F In MEETING_STATUS_INMEETING callback:\nauto* record_ctrl = meeting_service->GetMeetingRecordingController();\nif (!record_ctrl) {\n    throw std::runtime_error(\"recording_controller_unavailable\");\n}\n\nif (record_ctrl->CanStartRawRecording() != SDKERR_SUCCESS) {\n    throw std::runtime_error(\"raw_recording_not_permitted\");\n}\n\nSDKError record_err = record_ctrl->StartRawRecording();\nif (record_err != SDKERR_SUCCESS) {\n    throw std::runtime_error(\"start_raw_recording_failed\");\n}\n\nGetAudioRawdataHelper()->subscribe(new MyAudioDelegate());\n```\n\nUse **raw recording** when the bot must own PCM\u002FYUV media or feed an AI pipeline directly.\nUse **cloud recording + webhooks** when the requirement is Zoom-managed MP4\u002FM4A\u002Ftranscript assets after the meeting.\n\n**Official Documentation**: https:\u002F\u002Fdevelopers.zoom.us\u002Fdocs\u002Fmeeting-sdk\u002Flinux\u002F\n**API Reference**: https:\u002F\u002Fmarketplacefront.zoom.us\u002Fsdk\u002Fmeeting\u002Flinux\u002F\n**Sample Repository (Raw Recording)**: https:\u002F\u002Fgithub.com\u002Fzoom\u002Fmeetingsdk-linux-raw-recording-sample\n**Sample Repository (Headless)**: https:\u002F\u002Fgithub.com\u002Fzoom\u002Fmeetingsdk-headless-linux-sample\n\n## Quick Links\n\n**New to Meeting SDK Linux? Follow this path:**\n\n1. **[linux.md](linux.md)** - Quick start guide with complete workflow\n2. **[concepts\u002Fhigh-level-scenarios.md](concepts\u002Fhigh-level-scenarios.md)** - Production bot architectures\n3. **[meeting-sdk-bot.md](meeting-sdk-bot.md)** - Resilient bot with retry logic\n4. **[references\u002Flinux-reference.md](references\u002Flinux-reference.md)** - Dependencies, Docker, CMake\n\n**Common Use Cases:**\n- **Transcription Bot** → [high-level-scenarios.md#scenario-1-transcription-bot](concepts\u002Fhigh-level-scenarios.md)\n- **Recording Bot** → [high-level-scenarios.md#scenario-2-recording-bot](concepts\u002Fhigh-level-scenarios.md)\n- **AI Meeting Assistant** → [high-level-scenarios.md#scenario-3-ai-meeting-assistant](concepts\u002Fhigh-level-scenarios.md)\n- **Quality Monitoring** → [high-level-scenarios.md#scenario-4-monitoring-quality-bot](concepts\u002Fhigh-level-scenarios.md)\n- **Auto-Join + Recording Bot** → [meeting-sdk-bot.md](meeting-sdk-bot.md) for raw recording orchestration, retry, and cloud-recording handoff\n\n**Having issues?**\n- Docker audio issues → [references\u002Flinux-reference.md#pulseaudio-setup](references\u002Flinux-reference.md)\n- Raw recording permission denied → [meeting-sdk-bot.md#raw-recording-permission-denied](meeting-sdk-bot.md)\n- Build errors → [references\u002Flinux-reference.md#troubleshooting](references\u002Flinux-reference.md)\n\n## Routing Rule for Bots\n\nIf the user asks to build a bot that **automatically joins a Zoom meeting and records it**, start with\n[meeting-sdk-bot.md](meeting-sdk-bot.md).\n\n- Use **Meeting SDK Linux** for the visible participant, join flow, and raw recording control.\n- Chain **zoom-rest-api** when the bot must fetch OBF\u002FZAK tokens, schedule meetings, or enable account-side recording settings.\n- Chain **zoom-webhooks** when the requirement is Zoom cloud recording retrieval after meeting end.\n\n## SDK Overview\n\nThe Zoom Meeting SDK for Linux is a **C++ library optimized for headless server environments**:\n- **Headless Operation**: No GUI required, perfect for Docker\u002Fcloud\n- **Raw Data Access**: YUV420 video, PCM audio at 32kHz\n- **GLib Event Loop**: Async event handling for callbacks\n- **Docker-Ready**: Pre-configured Dockerfiles for CentOS\u002FUbuntu\n- **PulseAudio Integration**: Virtual audio devices for headless environments\n\n### Key Differences from Video SDK\n\n| Feature | Meeting SDK (Linux) | Video SDK |\n|---------|-------------------|-----------|\n| **Primary Use** | Join existing meetings as bot | Host custom video sessions |\n| **Visibility** | Visible participant | Session participant |\n| **UI** | Headless (no UI) | Optional custom UI |\n| **Authentication** | JWT + OBF\u002FZAK for external meetings | JWT only |\n| **Recording Control** | `StartRawRecording()` required | Direct raw data access |\n| **Platform** | Linux only | Windows, macOS, iOS, Android |\n\n## Prerequisites\n\n### System Requirements\n- **OS**: Ubuntu 22+, CentOS 8\u002F9, Oracle Linux 8\n- **Architecture**: x86_64\n- **Compiler**: gcc\u002Fg++ with C++11 support\n- **Build Tools**: cmake 3.16+\n\n### Development Dependencies\n```bash\n# Ubuntu\napt-get install -y build-essential cmake \\\n    libx11-xcb1 libxcb-xfixes0 libxcb-shape0 libxcb-shm0 \\\n    libxcb-randr0 libxcb-image0 libxcb-keysyms1 libxcb-xtest0 \\\n    libglib2.0-dev libcurl4-openssl-dev pulseaudio\n\n# CentOS\nyum install -y cmake gcc gcc-c++ \\\n    libxcb-devel xcb-util-image xcb-util-keysyms \\\n    glib2-devel libcurl-devel pulseaudio\n```\n\n### Required Credentials\n1. **Zoom Meeting SDK App** (Client ID & Secret) → [Create at Marketplace](https:\u002F\u002Fmarketplace.zoom.us\u002F)\n2. **JWT Token** → Generate from Client ID\u002FSecret\n3. **For External Meetings**: OBF token OR ZAK token → [Get via REST API](..\u002Freferences\u002Fbot-authentication.md)\n4. **For Raw Recording**: Meeting Recording Token (optional) → [Get via API](https:\u002F\u002Fdevelopers.zoom.us\u002Fdocs\u002Fmeeting-sdk\u002Fapis\u002F#operation\u002FmeetingLocalRecordingJoinToken)\n\n## Quick Start\n\n### 1. Download & Extract SDK\n\n```bash\n# Download from https:\u002F\u002Fmarketplace.zoom.us\u002F\ntar xzf zoom-meeting-sdk-linux_x86_64-{version}.tar\n\n# Organize files\nmkdir -p demo\u002Finclude\u002Fh demo\u002Flib\u002Fzoom_meeting_sdk\ncp -r h\u002F* demo\u002Finclude\u002Fh\u002F\ncp lib*.so demo\u002Flib\u002Fzoom_meeting_sdk\u002F\ncp -r qt_libs demo\u002Flib\u002Fzoom_meeting_sdk\u002F\ncp translation.json demo\u002Flib\u002Fzoom_meeting_sdk\u002Fjson\u002F\n\n# Create required symlink\ncd demo\u002Flib\u002Fzoom_meeting_sdk && ln -s libmeetingsdk.so libmeetingsdk.so.1\n```\n\n### 2. Initialize & Auth\n\n```cpp\n#include \"zoom_sdk.h\"\n\nUSING_ZOOM_SDK_NAMESPACE\n\n\u002F\u002F Initialize SDK\nInitParam init_params;\ninit_params.strWebDomain = \"https:\u002F\u002Fzoom.us\";\ninit_params.enableLogByDefault = true;\ninit_params.rawdataOpts.audioRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;\nInitSDK(init_params);\n\n\u002F\u002F Authenticate with JWT\nAuthContext auth_ctx;\nauth_ctx.jwt_token = your_jwt_token;\nCreateAuthService(&auth_service);\nauth_service->SDKAuth(auth_ctx);\n```\n\n### 3. Join Meeting\n\n```cpp\n\u002F\u002F In onAuthenticationReturn callback\nvoid onAuthenticationReturn(AuthResult ret) {\n    if (ret == AUTHRET_SUCCESS) {\n        JoinParam join_param;\n        join_param.userType = SDK_UT_WITHOUT_LOGIN;\n\n        auto& params = join_param.param.withoutloginuserJoin;\n        params.meetingNumber = 1234567890;\n        params.userName = \"Bot\";\n        params.psw = \"password\";\n        params.isVideoOff = true;\n        params.isAudioOff = false;\n\n        meeting_service->Join(join_param);\n    }\n}\n```\n\n### 4. Access Raw Data\n\n```cpp\n\u002F\u002F In onMeetingStatusChanged callback\nvoid onMeetingStatusChanged(MeetingStatus status, int iResult) {\n    if (status == MEETING_STATUS_INMEETING) {\n        auto* record_ctrl = meeting_service->GetMeetingRecordingController();\n\n        \u002F\u002F Start raw recording (enables raw data access)\n        if (record_ctrl->CanStartRawRecording() == SDKERR_SUCCESS) {\n            record_ctrl->StartRawRecording();\n\n            \u002F\u002F Subscribe to audio\n            auto* audio_helper = GetAudioRawdataHelper();\n            audio_helper->subscribe(new MyAudioDelegate());\n\n            \u002F\u002F Subscribe to video\n            IZoomSDKRenderer* video_renderer;\n            createRenderer(&video_renderer, new MyVideoDelegate());\n            video_renderer->setRawDataResolution(ZoomSDKResolution_720P);\n            video_renderer->subscribe(user_id, RAW_DATA_TYPE_VIDEO);\n        }\n    }\n}\n```\n\n## Key Features\n\n| Feature | Description |\n|---------|-------------|\n| **Headless Operation** | No GUI, perfect for Docker\u002Fserver deployments |\n| **Raw Audio (PCM)** | Capture mixed or per-user audio at 32kHz |\n| **Raw Video (YUV420)** | Capture video frames in contiguous planar format |\n| **GLib Event Loop** | Async callback handling |\n| **Docker Support** | Pre-built Dockerfiles for CentOS\u002FUbuntu |\n| **PulseAudio Virtual Devices** | Audio in headless environments |\n| **Breakout Rooms** | Programmatic breakout room management |\n| **Chat** | Send\u002Freceive in-meeting chat |\n| **Recording Control** | Local, cloud, and raw recording |\n\n## Critical Gotchas & Best Practices\n\n### ⚠️ CRITICAL: PulseAudio for Docker\u002FHeadless\n\n**The #1 issue for raw audio in Docker:**\n\nRaw audio requires PulseAudio and a config file, even in headless environments.\n\n**Solution**:\n```bash\n# Install PulseAudio\napt-get install -y pulseaudio pulseaudio-utils\n\n# Create config file\nmkdir -p ~\u002F.config\ncat > ~\u002F.config\u002Fzoomus.conf \u003C\u003C EOF\n[General]\nsystem.audio.type=default\nEOF\n\n# Start PulseAudio with virtual devices\npulseaudio --start --exit-idle-time=-1\npactl load-module module-null-sink sink_name=virtual_speaker\npactl load-module module-null-sink sink_name=virtual_mic\n```\n\nSee: [references\u002Flinux-reference.md#pulseaudio-setup](references\u002Flinux-reference.md)\n\n### Raw Recording Permission Required\n\nUnlike Video SDK, Meeting SDK requires explicit permission to access raw data:\n\n```cpp\n\u002F\u002F MUST call StartRawRecording() first\nauto* record_ctrl = meeting_service->GetMeetingRecordingController();\n\nSDKError can_record = record_ctrl->CanStartRawRecording();\nif (can_record == SDKERR_SUCCESS) {\n    record_ctrl->StartRawRecording();\n    \u002F\u002F NOW you can subscribe to audio\u002Fvideo\n} else {\n    \u002F\u002F Need: host\u002Fco-host status OR recording token\n}\n```\n\n**Ways to get permission**:\n1. Bot is host\u002Fco-host\n2. Host grants recording permission\n3. Use `recording_token` parameter (get via [REST API](https:\u002F\u002Fdevelopers.zoom.us\u002Fdocs\u002Fmeeting-sdk\u002Fapis\u002F#operation\u002FmeetingLocalRecordingJoinToken))\n4. Use `app_privilege_token` (OBF) when joining\n\n### GLib Main Loop Required\n\nSDK callbacks execute via GLib event loop:\n\n```cpp\n#include \u003Cglib.h>\n\n\u002F\u002F Setup main loop\nGMainLoop* loop = g_main_loop_new(NULL, FALSE);\n\n\u002F\u002F Add timeout for periodic tasks\ng_timeout_add_seconds(10, check_meeting_status, NULL);\n\n\u002F\u002F Run loop (blocks until quit)\ng_main_loop_run(loop);\n```\n\n**Without GLib loop**: Callbacks never fire, join hangs indefinitely.\n\n### Heap Memory Mode Recommended\n\nAlways use heap mode for raw data to avoid stack overflow with large frames:\n\n```cpp\ninit_params.rawdataOpts.videoRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;\ninit_params.rawdataOpts.shareRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;\ninit_params.rawdataOpts.audioRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;\n```\n\n### Thread Safety\n\nSDK callbacks execute on SDK threads:\n- Don't perform heavy operations in callbacks\n- Don't call `CleanUPSDK()` from within callbacks\n- Use thread-safe queues for data passing\n- Use mutexes for shared state\n\n## Production Architectures\n\n### Transcription Bot\n\n**See**: [concepts\u002Fhigh-level-scenarios.md#scenario-1](concepts\u002Fhigh-level-scenarios.md)\n\n```\nJoin Meeting → StartRawRecording → Subscribe Audio →\nStream to AssemblyAI\u002FWhisper → Generate Real-time Transcript\n```\n\n### Recording Bot\n\n**See**: [concepts\u002Fhigh-level-scenarios.md#scenario-2](concepts\u002Fhigh-level-scenarios.md)\n\n```\nJoin Meeting → StartRawRecording → Subscribe Audio+Video →\nWrite YUV+PCM → FFmpeg Merge → Upload to Storage\n```\n\n### AI Meeting Assistant\n\n**See**: [concepts\u002Fhigh-level-scenarios.md#scenario-3](concepts\u002Fhigh-level-scenarios.md)\n\n```\nJoin Meeting → Real-time Transcription → AI Analysis →\nExtract Action Items → Generate Summary\n```\n\n## Sample Applications\n\n**Official Repositories**:\n\n| Sample | Description | Link |\n|--------|-------------|------|\n| **Raw Recording Sample** | Traditional C++ approach with config.txt | [GitHub](https:\u002F\u002Fgithub.com\u002Fzoom\u002Fmeetingsdk-linux-raw-recording-sample) |\n| **Headless Sample** | Modern TOML-based with CLI, Docker Compose | [GitHub](https:\u002F\u002Fgithub.com\u002Fzoom\u002Fmeetingsdk-headless-linux-sample) |\n\n**What Each Demonstrates**:\n\n- **Raw Recording Sample**: Complete raw data workflow, PulseAudio setup, Docker multi-distro support\n- **Headless Sample**: AssemblyAI integration, LLM analysis, production-ready config management\n\n## Documentation Library\n\n### Core Concepts\n- **[linux.md](linux.md)** - Quick start & core workflow\n- **[concepts\u002Fhigh-level-scenarios.md](concepts\u002Fhigh-level-scenarios.md)** - Production bot architectures\n- **[meeting-sdk-bot.md](meeting-sdk-bot.md)** - Resilient bot with retry logic\n\n### Platform Reference\n- **[references\u002Flinux-reference.md](references\u002Flinux-reference.md)** - Dependencies, CMake, Docker, troubleshooting\n\n### Authentication\n- **[..\u002Freferences\u002Fauthorization.md](..\u002Freferences\u002Fauthorization.md)** - SDK JWT generation\n- **[..\u002Freferences\u002Fbot-authentication.md](..\u002Freferences\u002Fbot-authentication.md)** - Bot token types (ZAK, OBF, JWT)\n\n### Advanced Features\n- **[..\u002Freferences\u002Fbreakout-rooms.md](..\u002Freferences\u002Fbreakout-rooms.md)** - Programmatic breakout rooms\n- **[..\u002Freferences\u002Fai-companion.md](..\u002Freferences\u002Fai-companion.md)** - AI Companion controls\n\n## Common Issues\n\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| **No audio in Docker** | Missing PulseAudio config | Create `~\u002F.config\u002Fzoomus.conf` |\n| **Raw recording denied** | No permission | Use host\u002Fco-host OR recording token |\n| **Callbacks not firing** | Missing GLib main loop | Add `g_main_loop_run()` |\n| **Build errors (XCB)** | Missing X11 libraries | Install libxcb packages |\n| **Segfault on auth** | OpenSSL version mismatch | Install libssl1.1 |\n\n**Complete troubleshooting**: [references\u002Flinux-reference.md#troubleshooting](references\u002Flinux-reference.md)\n\n## Resources\n\n- **Official Docs**: https:\u002F\u002Fdevelopers.zoom.us\u002Fdocs\u002Fmeeting-sdk\u002Flinux\u002F\n- **API Reference**: https:\u002F\u002Fmarketplacefront.zoom.us\u002Fsdk\u002Fmeeting\u002Flinux\u002F\n- **Dev Forum**: https:\u002F\u002Fdevforum.zoom.us\u002F\n- **GitHub Samples**:\n  - 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For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3560,3561,3562,3563,3564],{"name":3515,"slug":3516,"type":15},{"name":3518,"slug":3509,"type":15},{"name":3520,"slug":3521,"type":15},{"name":3537,"slug":3538,"type":15},{"name":3432,"slug":3433,"type":15},"2026-05-16T06:07:40.583615",{"slug":3567,"name":3567,"fn":3568,"description":3569,"org":3570,"tags":3571,"stars":3434,"repoUrl":3435,"updatedAt":3580},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3572,3575,3576,3579],{"name":3573,"slug":3574,"type":15},"Animation","animation",{"name":3467,"slug":3468,"type":15},{"name":3577,"slug":3578,"type":15},"Creative","creative",{"name":3515,"slug":3516,"type":15},"2026-05-02T05:31:48.48485",{"slug":3582,"name":3582,"fn":3583,"description":3584,"org":3585,"tags":3586,"stars":3434,"repoUrl":3435,"updatedAt":3596},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3587,3588,3589,3592,3595],{"name":3577,"slug":3578,"type":15},{"name":3515,"slug":3516,"type":15},{"name":3590,"slug":3591,"type":15},"Image Generation","image-generation",{"name":3593,"slug":3594,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":3599,"total":3712},[3600,3616,3632,3644,3662,3680,3700],{"slug":3601,"name":3601,"fn":3602,"description":3603,"org":3604,"tags":3605,"stars":28,"repoUrl":29,"updatedAt":30},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3606,3609,3612,3615],{"name":3607,"slug":3608,"type":15},"Accessibility","accessibility",{"name":3610,"slug":3611,"type":15},"Charts","charts",{"name":3613,"slug":3614,"type":15},"Data Visualization","data-visualization",{"name":3515,"slug":3516,"type":15},{"slug":3617,"name":3617,"fn":3618,"description":3619,"org":3620,"tags":3621,"stars":28,"repoUrl":29,"updatedAt":3631},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3622,3625,3628],{"name":3623,"slug":3624,"type":15},"Agents","agents",{"name":3626,"slug":3627,"type":15},"Browser Automation","browser-automation",{"name":3629,"slug":3630,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":3633,"name":3633,"fn":3634,"description":3635,"org":3636,"tags":3637,"stars":28,"repoUrl":29,"updatedAt":3643},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3638,3639,3642],{"name":3626,"slug":3627,"type":15},{"name":3640,"slug":3641,"type":15},"Local Development","local-development",{"name":3629,"slug":3630,"type":15},"2026-04-06T18:41:17.526867",{"slug":3645,"name":3645,"fn":3646,"description":3647,"org":3648,"tags":3649,"stars":28,"repoUrl":29,"updatedAt":3661},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3650,3651,3652,3655,3658],{"name":3623,"slug":3624,"type":15},{"name":3483,"slug":3484,"type":15},{"name":3653,"slug":3654,"type":15},"SDK","sdk",{"name":3656,"slug":3657,"type":15},"Serverless","serverless",{"name":3659,"slug":3660,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":3663,"name":3663,"fn":3664,"description":3665,"org":3666,"tags":3667,"stars":28,"repoUrl":29,"updatedAt":3679},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3668,3669,3672,3675,3676],{"name":3520,"slug":3521,"type":15},{"name":3670,"slug":3671,"type":15},"React","react",{"name":3673,"slug":3674,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":3537,"slug":3538,"type":15},{"name":3677,"slug":3678,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":3681,"name":3681,"fn":3682,"description":3683,"org":3684,"tags":3685,"stars":28,"repoUrl":29,"updatedAt":3699},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3686,3689,3692,3695,3698],{"name":3687,"slug":3688,"type":15},"AI Infrastructure","ai-infrastructure",{"name":3690,"slug":3691,"type":15},"Cost Optimization","cost-optimization",{"name":3693,"slug":3694,"type":15},"LLM","llm",{"name":3696,"slug":3697,"type":15},"Performance","performance",{"name":3677,"slug":3678,"type":15},"2026-04-06T18:40:44.377464",{"slug":3701,"name":3701,"fn":3702,"description":3703,"org":3704,"tags":3705,"stars":28,"repoUrl":29,"updatedAt":3711},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3706,3707,3710],{"name":3690,"slug":3691,"type":15},{"name":3708,"slug":3709,"type":15},"Database","database",{"name":3693,"slug":3694,"type":15},"2026-04-06T18:41:08.513425",600]