npx skills add https://github.com/anthropics/knowledge-work-plugins
zoom/zoom-plugin · Archived
choose-zoom-approach
Choose the right Zoom architecture for a use case. Use when deciding between REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Zoom MCP, Phone, Contact Center, or a hybrid approach.
Installation
npx skills add zoom/zoom-plugin --skill choose-zoom-approach
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More details
Agent compatibility
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main
Package contents
Files included with this skill beyond the listing page.
-
skill md
SKILL.md1,861 B -
docs
SUMMARY.md230 B
History
- First seen on skills.sh
- First recorded snapshot · 2 installs
SKILL.md
Choose Zoom Approach
Pick the smallest correct Zoom surface for the job, then layer in only the supporting pieces that are actually required.
Decision Framework
| Problem Type | Primary Zoom Surface |
|---|---|
| Deterministic backend automation, account management, reporting, scheduled jobs | [rest-api](../rest-api/SKILL.md) |
| Event delivery to your backend | [webhooks](../webhooks/SKILL.md) or [websockets](../websockets/SKILL.md) |
| Embed Zoom meetings into your app | [meeting-sdk](../meeting-sdk/SKILL.md) |
| Build a fully custom video experience | [video-sdk](../video-sdk/SKILL.md) |
| Build inside the Zoom client | [zoom-apps-sdk](../zoom-apps-sdk/SKILL.md) |
| AI-agent tool workflows over Zoom data | [zoom-mcp](../zoom-mcp/SKILL.md) |
| Real-time media extraction or meeting bots | [rtms](../rtms/SKILL.md) plus [meeting-sdk](../meeting-sdk/SKILL.md) when needed |
| Phone workflows | [phone](../phone/SKILL.md) |
| Contact Center or Virtual Agent flows | [contact-center](../contact-center/SKILL.md) or [virtual-agent](../virtual-agent/SKILL.md) |
Guardrails
- Do not recommend Video SDK when the user actually needs Zoom meeting semantics.
- Do not recommend Meeting SDK when the user needs a fully custom session product.
- Do not replace deterministic backend automation with MCP-only guidance.
- Prefer hybrid
rest-api + zoom-mcpwhen the user needs both stable system actions and AI-driven discovery.
What To Produce
- One recommended path
- Minimum supporting components
- Hard constraints and tradeoffs
- Immediate next implementation step