zoom-contact-center-web
$
npx mdskill add openai/plugins/zoom-contact-center-webEnables web integration with Zoom Contact Center for chat, video, and campaign workflows
- Embeds contact center features into web apps for agent and customer interactions
- Uses Campaign SDK, engagement APIs, and Smart Embed postMessage workflows
- Handles app context, state persistence, and event lifecycle management
- Delivers real-time communication and campaign tracking via web integrations
SKILL.md
.github/skills/zoom-contact-center-webView on GitHub ↗
--- name: zoom-contact-center-web description: "Zoom Contact Center SDK for Web. Use for web chat/video/campaign embeds, engagement event handling, app-context integrations, and Smart Embed postMessage workflows." --- # Zoom Contact Center SDK - Web Official docs: - https://developers.zoom.us/docs/contact-center/web/ - https://developers.zoom.us/docs/contact-center/web/sdk-reference/ ## Quick Links 1. [concepts/lifecycle-and-events.md](concepts/lifecycle-and-events.md) 2. [examples/app-context-and-state.md](examples/app-context-and-state.md) 3. [references/web-reference-map.md](references/web-reference-map.md) 4. [troubleshooting/common-issues.md](troubleshooting/common-issues.md) ## Integration Modes 1. Contact Center App in Zoom client: - Zoom Apps SDK engagement APIs/events. 2. External website embed: - Campaign SDK/web scripts (`zoomCampaignSdk` pattern). - Video client initialization pattern. 3. Smart Embed: - iframe + `postMessage` event contract. ## Hard Guardrails - For campaign SDK, gate calls behind `zoomCampaignSdk:ready`. - Persist state by `engagementId`. - Expect context switching and background app behavior. - Validate CSP and allow-list settings before debugging logic. ## Chaining - For in-client app APIs and auth flows: [../../zoom-apps-sdk/SKILL.md](../../zoom-apps-sdk/SKILL.md) - For identity and OAuth: [../../oauth/SKILL.md](../../oauth/SKILL.md) - For cobrowse workflow: [../../cobrowse-sdk/SKILL.md](../../cobrowse-sdk/SKILL.md) ## Operations - [RUNBOOK.md](RUNBOOK.md) - 5-minute preflight and debugging checklist.
More from openai/plugins
- accessibility-and-inclusive-visualizationMake 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.
- agent-browserBrowser 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.
- agent-browser-verifyAutomated 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/fail before continuing.
- agents-sdkBuild 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.
- ai-elementsAI Elements component library guidance — pre-built React components for AI interfaces built on shadcn/ui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.
- ai-gatewayVercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.
- ai-generation-persistenceAI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation
- ai-sdkVercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.
- aiq-deploy|
- aiq-research|