用Claude、Python和MCP构建技能驱动的金融分析智能体教程

Designing Skill-Driven Financial Analysis Agents with Claude, Python, MCP Connectors, and Automated Deliverables

精选理由

Anthropic开源了一套金融分析智能体方案,这篇教程手把手教你用Claude和Python搭建,还能自动解析技能文件,适合搞量化分析的人试试。

AI 摘要

本教程基于Anthropic的financial-services仓库,使用Claude、Python和MCP Connectors搭建技能驱动型金融分析智能体。首先安装依赖并克隆仓库,然后映射其智能体、垂直插件和合作伙伴集成。接着解析仓库中的SKILL.md文件,使其可搜索。最后实现自动化交付,无需手动维护生成物。

图片来源 · marktechpost
原文 · marktechpost

Designing Skill-Driven Financial Analysis Agents with Claude, Python, MCP Connectors, and Automated Deliverables

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required libraries, cloning the repository, and programmatically mapping its agents, vertical plugins, partner integrations, managed-agent cookbooks, and financial analysis skills. We then parse the repository’s SKILL.md files into a searchable […] The post Designing Skill-Driven Financial Analysis Agents with Claude, Python, MCP Connectors, and Automated Deliverables appeared first on MarkTechPost .

用Claude、Python和MCP构建技能驱动的金融分析智能体教程 · AI 热点