Why does this skill prioritize Python over TypeScript?

For quantitative and financial work, Python is the industry standard, offering superior libraries like pandas, PyPortfolioOpt, and Streamlit for rapid analytical prototyping.

How does the 'Show Don't Tell' rule work?

In the IMPLEMENT stage, Claude is required to build and run functional code prototypes immediately rather than providing long textual explanations of the architecture.

What does it mean to be a 'Cognition Mate'?

It is a collaborative relationship where the AI acts as a partner rather than just a tool, combining the AI's research ability with the developer's domain expertise.

What is the DRIVER methodology?

DRIVER stands for Define, Represent, Implement, Validate, Evolve, and Reflect—a specialized six-stage workflow designed for structured AI-augmented development.

DRIVER Finance & Quant Workflow

Name: DRIVER Finance & Quant Workflow
Author: CinderZhang

byCinderZhang

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Data Science & ML

Implements the DRIVER methodology for research-driven, collaborative finance and quantitative tool development.

This skill transforms Claude into a 'Cognition Mate' using the DRIVER framework (Define, Represent, Implement, Validate, Evolve, Reflect) specifically optimized for high-stakes finance and quantitative analysis. It enforces a disciplined workflow that prioritizes thorough research before coding, favors Python-based analytical stacks like Streamlit, and ensures every implementation is validated with evidence. By establishing a partnership dynamic where the AI handles technical lifting and research while the developer provides vision and judgment, it eliminates common pitfalls like reinventing existing tools or building without domain-specific validation.

Key Features

01Six-stage DRIVER structured development lifecycle

022 GitHub stars

03Cognition Mate partnership model for collaborative human-AI reasoning

04Evidence-based validation requirement for all financial models and tools

05Optimized implementation paths for Python, Streamlit, and Quant libraries

06Mandatory research phase (分头研究) to prevent redundant building

Use Cases

01Creating factor research pipelines and quantitative backtesting environments

02Developing portfolio optimization tools and risk analytics dashboards

03Building DCF valuation models with automated financial data fetching

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cinderzhang/driver-plugin using-driver

For use in Claude.ai and ChatGPT

Download Skill