Design MCP Workflow Skill for Claude
Design a Zoom MCP workflow for Claude. Use when deciding whether Zoom MCP fits a task, when planning tool-based AI workflows, or when separating MCP responsibilities from REST API responsibilities.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/anthropics/knowledge-work-plugins --skill design-mcp-workflowThe instruction itself
4 sections, as written by the authorDesign MCP Workflow
Use this skill when the user wants Claude or another MCP-capable client to interact with Zoom via tool calls instead of only deterministic API code.
Covers
- MCP fit assessment
- REST API vs MCP boundaries
- Hybrid architectures
- Connector expectations
- Whiteboard-specific MCP routing
Workflow
- Decide whether the problem is agentic tooling, deterministic automation, or both.
- Route MCP-only tasks to zoom-mcp.
- Route hybrid tasks to both zoom-mcp and rest-api.
- If Whiteboard is central, route to zoom-mcp/whiteboard.
- Call out transport, auth, and client capability assumptions explicitly.
Common Mistakes
- Using MCP for deterministic backend jobs that should stay in REST
- Treating MCP as a replacement for all API design
- Ignoring client transport support and auth requirements
Other skills for the same job
different authors, same section of the catalogue
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You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility
How to use it
Take anthropics/design-mcp-workflow from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.