anthropics/claude-quickstarts

記録された最新のソース活動: 2026年9月24日 16:54

SkillsMP カタログ更新: 2026年11月12日 12:52

収集済み skills: 3

GitHub スター: 20,783
GitHub フォーク: 3,487

AI アシスタントでインストール

このプロンプトをコピーして、使用中の AI アシスタントに送ってください。

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/anthropics/claude-quickstarts.

リポジトリの README

README の元ファイル：README.md

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# Claude Quickstarts 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. ## Getting Started 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](https://console.anthropic.com). ## Available Quickstarts ### Customer Support Agent 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](./customer-support-agent) ### Financial Data Analyst 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](./financial-data-analyst) ### Computer Use Demo 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](./computer-use-demo) ### Computer Use Best Practices 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](https://claude.com/blog/best-practices-for-computer-and-browser-use-with-claude). [Go to Computer Use Best Practices Quickstart](./computer-use-best-practices) ### Browser Use Demo 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](./browser-use-demo) ### Browser Toolset 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](./browser-toolset) ### Computer 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](./computer-toolset) ### Autonomous Coding Agent 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](./autonomous-coding) ### Managed Agents: Chat SDK 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](./managed-agents/chat-sdk) ### Managed Agents with CopilotKit and AG-UI 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](./managed-agents/copilot-kit-ag-ui) ### Managed Agents: Daily Brief 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 files applied with `ant apply` (agent, environment, two memory stores, vault, cron deployment), a read-only preferences store next to a read-write state store, and run steps designed to fail well unattended: per-source bookmarks, a ledger against repeats, and a source that could not be read reported as unreadable rather than as a quiet day. [Go to Managed Agents Daily Brief Quickstart](./managed-agents/daily-brief) ### Managed Agents: Knowledge Wiki A deal-room knowledge wiki built with Claude Managed Agents. This project demonstrates how to distill a document corpus once into a versioned memory-store knowledge wiki — using one dynamic workflow run that extracts, resolves, and consolidates — then answer repeated analyst questions from the wiki with provenance on every fact and a lower per-question cost than raw-document search. The worked example is a real M&A data room fetched from public SEC EDGAR filings. [Go to Managed Agents Knowledge Wiki Quickstart](./managed-agents/knowledge-wiki) ### Managed Agents: Linear An agent you can @mention or assign in Linear, backed by a Claude Managed Agent. This project demonstrates a stateless webhook bridge on Linear's Agent Platform: an `AgentSessionEvent` creates a Managed Agents session with the Linear session and organization IDs stored in session metadata, and the `session.status_idled` webhook reads that metadata back to post the reply as a comment. It installs through Linear OAuth with `actor=app`. [Go to Managed Agents Linear Quickstart](./managed-agents/linear) ### Managed Agents: MCP Server (TypeScript) An MCP server that exposes the Claude Managed Agents Sessions API as nine tools. This project demonstrates how to let Claude Desktop, Claude Code, or claude.ai drive the agents already in your workspace: list them, start a session, send a message, and wait for the reply, over stdio or Streamable HTTP. One tool, `wait_for_idle`, turns the session's event stream into a single request/response call, and an agent allowlist limits what a bearer-token holder can reach. [Go to Managed Agents MCP Server (TypeScript) Quickstart](./managed-agents/mcp-server-typescript) ### Managed Agents: Road Trip Planner A national-park road trip planner built directly on a Claude Managed Agents session, in Next.js with no chat framework and no database. This project demonstrates four API features on one screen: token-by-token streaming with `event_deltas` on the session event stream, vault credentials injected at a specific request location (`injection_location`), a per-session model override with `agent_with_overrides`, and a `multiagent` coordinator that hands its draft to a reviewer agent in a session thread. [Go to Managed Agents Road Trip Planner Quickstart](./managed-agents/roadtrip-planner) ### Managed Agents: Sentry A scheduled Sentry triage agent built on Claude Managed Agents. This project demonstrates a deployment that starts a session on a cron schedule with no host process, Sentry's Agent Plugin for guided setup, and a refreshable MCP OAuth credential persisted in a vault for issue triage and Seer root-cause analysis. [Go to Managed Agents Sentry Quickstart](./managed-agents/sentry) ### Managed Agents: Sentry Autofix A production error fixed by pull request, with Claude Managed Agents and the Sentry MCP server. This project demonstrates a webhook-driven session per Sentry issue: the agent reads the stack trace and Seer's root cause analysis, reproduces the bug with a failing test in a mounted GitHub repository, and pushes a branch, and the host opens the pull request through a custom tool so a person reviews every fix. Setup runs in Claude Code with Sentry's Agent Plugin. Credentials stay in a vault outside the sandbox, the sandbox has no route to the open internet, and each session has a hard spend cap. [Go to Managed Agents Sentry Autofix Quickstart](./managed-agents/sentry-autofix) ### Managed Agents: Slack A Slack bot backed by a Claude Managed Agent. This project demonstrates a stateless webhook bridge: an `@mention` creates a Managed Agents session with the channel and thread stored in session metadata, and the `session.status_idled` webhook reads that metadata back to post the reply in-thread. There is no database and no long-lived connection. [Go to Managed Agents Slack Quickstart](./managed-agents/slack) ## General Usage Each quickstart project comes with its own README and setup instructions. Generally, you'll follow these steps: 1. Clone this repository 2. Navigate to the specific quickstart directory 3. Install the required dependencies 4. Set up your Claude API key as an environment variable 5. Run the quickstart application ## Explore Further To deepen your understanding of working with Claude and the Claude API, check out these resources: - [Claude API Documentation](https://docs.claude.com) - [Claude Cookbooks](https://github.com/anthropics/claude-cookbooks) - A collection of code snippets and guides for common tasks - [Claude API Fundamentals Course](https://github.com/anthropics/courses/tree/master/anthropic_api_fundamentals) ## Contributing We welcome contributions to the Claude Quickstarts repository! If you have ideas for new quickstart projects or improvements to existing ones, please open an issue or submit a pull request. ## Community and Support - Join our [Anthropic Discord community](https://www.anthropic.com/discord) for discussions and support - Check out the [Anthropic support documentation](https://support.anthropic.com) for additional help ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

リポジトリの README を読み込んでいます…

このリポジトリの skills

ソフトウェア品質保証アナリスト・テスターソフトウェア開発者

2 件の職業カテゴリ · 67% 分類済み

skill

職業分類

説明

更新

verify

未分類

Build and drive the copilot-kit-ag-ui demo to verify changes end-to-end.

原文の言語: 英語

2026-09-24

verify

ソフトウェア品質保証アナリスト・テスター

Build the computer-use-demo image and drive the Streamlit UI headlessly to verify changes end-to-end.

原文の言語: 英語

2026-08-21

first-run

ソフトウェア開発者

Guide a new user through their first computer-use agent run (env check, safe browser-only task, then open the trajectory viewer).

原文の言語: 英語

2026-05-13

収集済み skill 3 件中 3 件を表示しています。