Co-Pilot / 辅助式
更新于 a month ago

claude-cookbooks

Aanthropics
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anthropics/claude-cookbooks
78
Agent 评分

💡 摘要

Claude Cookbooks 提供代码片段和指南,帮助开发者有效使用 Claude API。

🎯 适合人群

希望将 AI 集成到应用程序中的开发者对文本处理感兴趣的数据科学家教授 AI 概念的教育工作者为 AI 工具创建文档的技术写作人员探索 AI 能力的产品经理

🤖 AI 吐槽:看起来很能打,但别让配置把人劝退。

安全分析中风险

风险:Medium。建议检查:是否发起外网请求(SSRF/数据外发);API Key/Token 的获取、存储与泄露风险。以最小权限运行,并在生产环境启用前审计代码与依赖。

Claude Cookbooks

The Claude Cookbooks provide code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.

Prerequisites

To make the most of the examples in this cookbook, you'll need a Claude API key (sign up for free here).

While the code examples are primarily written in Python, the concepts can be adapted to any programming language that supports interaction with the Claude API.

If you're new to working with the Claude API, we recommend starting with our Claude API Fundamentals course to get a solid foundation.

Explore Further

Looking for more resources to enhance your experience with Claude and AI assistants? Check out these helpful links:

Contributing

The Claude Cookbooks thrives on the contributions of the developer community. We value your input, whether it's submitting an idea, fixing a typo, adding a new guide, or improving an existing one. By contributing, you help make this resource even more valuable for everyone.

To avoid duplication of efforts, please review the existing issues and pull requests before contributing.

If you have ideas for new examples or guides, share them on the issues page.

Table of recipes

Capabilities

Tool Use and Integration

Third-Party Integrations

Multimodal Capabilities

Advanced Techniques

Additional Resources

  • Anthropic on AWS: Explore examples and solutions for using Claude on AWS infrastructure.
  • AWS Samples: A collection of code samples from AWS which can be adapted for use with Claude. Note that some samples may require modification to work optimally with Claude.
五维分析
清晰度8/10
创新性7/10
实用性9/10
完整性7/10
可维护性8/10
优缺点分析

优点

  • 涵盖多种 AI 能力的全面指南
  • 提供易于集成的代码片段
  • 支持多种编程语言
  • 活跃的社区支持和贡献

缺点

  • 需要 API 密钥才能访问
  • 主要以 Python 示例为主
  • 某些领域的文档可能缺乏深度
  • 新用户可能会感到不知所措

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免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 anthropics.