Agent Academy is a free, source-linked library of skills, prompts, MCP servers and bot templates, organised into courses by profession, for people who hand real work to AI agents: 1,467 live resources, each with its original link, license and safety tags.
Skill
build-zoom-meeting-app
Original text · EnglishBuild or embed a Zoom meeting flow. Use when implementing Meeting SDK joins, web or mobile meeting embeds, meeting lifecycle flows, or when deciding between Meeting SDK and Video SDK.
Republished in full under its license, with attribution. The source is authoritative.
name: build-zoom-meeting-app
description: Build or embed a Zoom meeting flow. Use when implementing Meeting SDK joins, web or mobile meeting embeds, meeting lifecycle flows, or when deciding between Meeting SDK and Video SDK.
/build-zoom-meeting-app
Use this skill for embedded meeting experiences and meeting lifecycle implementation.
Covers
Meeting SDK selection and platform routing
Join/auth implementation planning
Meeting creation plus join flow design
Web vs native platform considerations
Meeting SDK vs Video SDK boundary decisions
Workflow
Confirm whether the user wants a Zoom meeting or a custom video session.
Route to Meeting SDK if the user needs actual Zoom meetings.
Pull in the relevant platform references.
Add REST API only for meeting creation, resource management, or reporting.
Add webhooks or RTMS only when the use case explicitly needs them.
Primary References
[meeting-sdk](../meeting-sdk/SKILL.md)
[rest-api](../rest-api/SKILL.md)
[webhooks](../webhooks/SKILL.md)
[rtms](../rtms/SKILL.md)
[video-sdk](../video-sdk/SKILL.md)
Common Mistakes
Using Video SDK for normal Zoom meeting embeds
Mixing resource-management APIs into the core join flow without reason
Skipping platform-specific SDK constraints until too late
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`,…
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar…
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.