instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D…
Decide when Zoom MCP is the right fit and produce a safe setup plan for Claude. Use when planning AI workflows over Zoom data, deciding between MCP and REST, or defining a hybrid MCP architecture.
Claude Code
$ npx -y skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp --agent claude-code
Codex
$ npx skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp -a codex -y
Cursor
$ npx skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp -a cursor -y
Gemini CLI
$ npx skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp -a gemini-cli -y
GitHub Copilot
$ npx skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp -a github-copilot -y
OpenCode
$ npx skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp -a opencode -y
Windsurf
$ npx skills add anthropics/knowledge-work-plugins --skill setup-zoom-mcp -a windsurf -y
name: setup-zoom-mcp description: Decide when Zoom MCP is the right fit and produce a safe setup plan for Claude. Use when planning AI workflows over Zoom data, deciding between MCP and REST, or defining a hybrid MCP architecture. argument-hint: "<AI workflow or MCP use case>"
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md).
Plan a Zoom MCP workflow and decide when to use MCP alone versus a hybrid REST API + MCP architecture.
/setup-zoom-mcp $ARGUMENTS
1. Determine whether the goal is deterministic automation, AI tool orchestration, or a hybrid. 2. If MCP is appropriate, identify the likely Zoom MCP surface and transport assumptions. 3. If MCP alone is not enough, define the REST API responsibilities separately. 4. Call out auth, scope, and client capability constraints. 5. End with a minimal proof-of-concept sequence.
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