build-zoom-rest-api-app

$npx mdskill add openai/plugins/build-zoom-rest-api-app

Builds apps that call Zoom REST APIs with proper authentication and error handling

  • Solves the problem of integrating with Zoom APIs for meetings, users, recordings, and more
  • Relies on Zoom REST APIs, OAuth 2.0, and webhook event systems
  • Chooses endpoints and auth flows based on resource type and API documentation
  • Returns structured API wrappers with retry, rate-limiting, and secure token handling

SKILL.md

.github/skills/build-zoom-rest-api-appView on GitHub ↗
---
name: build-zoom-rest-api-app
description: Use when calling REST APIs.
---

# Build Zoom REST API App

Use this skill when the task needs deterministic Zoom API calls or resource management from application code.

## Workflow

1. Define the resource and actor: user, meeting, webinar, recording, docs, chat, phone, account, or admin-level workflow.
2. Select the endpoint and required scopes from the reference files before coding.
3. Confirm auth fit: user-level OAuth for user-owned resources, account-level OAuth for admin workflows, and only use server-to-server OAuth where the target API documents support for it.
4. Implement narrow API wrappers with explicit pagination, retry, idempotency, and rate-limit handling.
5. Treat webhook processing as a separate event-ingestion path with signature verification and replay protection.
6. Debug by checking token audience, missing scopes, resource ownership, account settings, API enablement, and rate-limit headers.

## References

- Full preserved guide: [references/full-guide.md](references/full-guide.md)
- API architecture: [concepts/api-architecture.md](concepts/api-architecture.md)
- Authentication flows: [concepts/authentication-flows.md](concepts/authentication-flows.md)
- Rate limits: [references/rate-limits.md](references/rate-limits.md)
- Meetings: [references/meetings.md](references/meetings.md)
- Recordings: [references/recordings.md](references/recordings.md)
- Users: [references/users.md](references/users.md)
- Token and scope playbook: [troubleshooting/token-scope-playbook.md](troubleshooting/token-scope-playbook.md)

More from openai/plugins

SkillDescription
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|