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

A tutorial recreates Anthropic’s financial-services skill architecture in Python, loading SKILL.md files into a registry and wiring them into a SkillAgent with Claude’s Messages API.

The agent uses iterative Python tools and MCP-style connectors to run valuation and deal workflows, including discounted cash flow analysis, sensitivity heatmaps, and comparable-company analysis.

It also generates outputs such as Excel files and a private-equity memo draft, showing how reusable AI skills can automate finance tasks with connected tools.

The walkthrough inspects a managed-agent deployment spec as well, but stops short of making a live deployment request.