anthropics/choose-zoom-approach
partner-built/zoom-plugin/skills/choose-zoom-approach/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add anthropics/knowledge-work-plugins choose-zoom-approachInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
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Snyk (dep)Open source security scanning
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Socket.devSupply chain security analysis
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Last scanned: Apr 10, 2026, 5:47 PM53.3s1 file scanned
SKILL.md
- name:
- choose-zoom-approach
- description:
- 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.
- user-invocable:
- false
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 | | Event delivery to your backend | webhooks or websockets | | Embed Zoom meetings into your app | meeting-sdk | | Build a fully custom video experience | video-sdk | | Build inside the Zoom client | zoom-apps-sdk | | AI-agent tool workflows over Zoom data | zoom-mcp | | Real-time media extraction or meeting bots | rtms plus meeting-sdk when needed | | Phone workflows | phone | | Contact Center or Virtual Agent flows | contact-center or virtual-agent |
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
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