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How to install on Windows
A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API
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Will it work on Windows?
Heads-upIt also needs 8 settings in .env (1 secret).
Needs Git: winget install Git.Git
git clone https://github.com/techenvy/claude-quickstarts.git cd claude-quickstarts
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Claude Quickstarts is a collection of projects designed to help developers quickly get started with building applications using the Claude API. Each quickstart provides a foundation that you can easily build upon and customize for your specific needs.
To use these quickstarts, you'll need an Claude API key. If you don't have one yet, you can sign up for free at console.anthropic.com.
A customer support agent powered by Claude. This project demonstrates how to leverage Claude's natural language understanding and generation capabilities to create an AI-assisted customer support system with access to a knowledge base.
Go to Customer Support Agent Quickstart
A financial data analyst powered by Claude. This project demonstrates how to leverage Claude's capabilities with interactive data visualization to analyze financial data via chat.
Go to Financial Data Analyst Quickstart
An environment and tools that Claude can use to control a desktop computer. This project demonstrates how to leverage the computer use capabilities of Claude, including support for the latest computer_toolset_20260801 toolset shape, where each computer action is a member tool the model calls by name.
Go to Computer Use Demo Quickstart
A pedagogical, native-macOS reference implementation of a computer-use agent. Unlike the containerized Computer Use Demo, this project runs directly against the macOS desktop (run it in a VM!) and demonstrates common patterns for building more reliable and cost-effective computer-use agents: explicit tool definitions, correct image sizing and pruning, prompt caching, server-side compaction, batched tool calls, a sandboxed shell, and trajectory recording. It pairs with Anthropic's computer-use best-practices guide.
Go to Computer Use Best Practices Quickstart
A complete reference implementation for browser automation powered by Claude. This project demonstrates how to give Claude the ability to navigate websites, inspect and interact with DOM elements, extract content, and fill forms using a custom Playwright-backed browser tool.
Go to Browser Use Demo Quickstart
The minimal CDP example of Claude's browser toolset (browser_toolset_20260801), in Python and TypeScript. It has a small driver for one Chromium tab over the Chrome DevTools Protocol, a script that runs the driver with the tool runner, and a script that exercises it without a model. It shows the interface and is not production code.
Go to Browser Toolset Quickstart
The minimal VNC example of Claude's computer toolset (computer_toolset_20260801), in Python and TypeScript. It has a small driver for one desktop over VNC (the RFB protocol, no VNC library), a script that runs the driver with the tool runner, and a script that exercises it without a model. It shows the interface and is not production code.
Go to Computer Toolset Quickstart
An autonomous coding agent powered by the Claude Agent SDK. This project demonstrates a two-agent pattern (initializer + coding agent) that can build complete applications over multiple sessions, with progress persisted via git and a feature list that the agent works through incrementally.
Go to Autonomous Coding Agent Quickstart
A browser chat app powered by Claude Managed Agents and Vercel's Chat SDK. This project demonstrates how to pair a persistent Managed Agents session per conversation with a chat surface: a research analyst researches with web search and streams its brief token by token while a live feed shows the tool calls. The same handler runs on Slack, Teams, Discord, Telegram, or WhatsApp by swapping the Chat SDK adapter.
Go to Managed Agents Chat SDK Quickstart
A personal finance assistant chat app built on a Claude Managed Agent and rendered with CopilotKit. This project demonstrates how to bridge a managed-agent session to the AG-UI protocol, stream replies token by token with event deltas, and render agent tool calls as interactive generative UI components in the chat.
Go to Managed Agents with CopilotKit Quickstart
A scheduled agent that reads your Slack channels and GitHub pull requests each weekday and posts one short brief to Slack, built on Claude Managed Agents. This project demonstrates a deployment defined entirely as
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