What is the DRIVER methodology?

DRIVER is a structured approach for AI-augmented development focusing on six stages: Define (research), Represent (roadmap/modeling), Implement (building), Validate (testing), Evolve (exporting), and Reflect (learning).

What is the 'Cognition Mate' philosophy?

It is a collaborative model where the AI provides technical patterns and research while the human provides domain expertise and judgment, ensuring meaning emerges from the interaction.

What is the first step after initializing?

Once initialized, the skill will prompt you to run the define command to begin your project research and establish your vision.

Can I use this for non-finance projects?

Yes. While the guidance is optimized for finance and quantitative tools, the structured workflow is beneficial for any complex, research-heavy software development project.

Does it overwrite my existing files?

The skill includes a safety check. If it detects an existing DRIVER project structure, it will ask if you want to continue from your current state or start fresh with a new scaffold.

DRIVER Project Initializer

Name: DRIVER Project Initializer
Author: CinderZhang

byCinderZhang

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Data Science & ML

Initializes a structured finance and quantitative development environment following the DRIVER methodology.

About

The DRIVER Project Initializer is a specialized skill designed to scaffold new projects using the DRIVER methodology—a framework optimized for AI-augmented finance and quantitative tool development. It creates a minimal, organic directory structure that prevents over-engineering while establishing a clear workflow through the stages of Define, Represent, Implement, Validate, Evolve, and Reflect. By acting as a 'Cognition Mate,' this skill helps bridge the gap between AI pattern recognition and human domain expertise, providing a standardized starting point for valuation tools, portfolio optimizers, and financial data pipelines.

Key Features

Standardized README generation with methodology-specific philosophy
Automated directory scaffolding for the DRIVER methodology stages
Finance-focused guidance for quant and data science use cases
State-checking logic to prevent accidental overwrites of existing projects
Seamless transition prompts to the project definition phase
2 GitHub stars

Use Cases

Initializing a financial valuation project like DCF or comparable analysis models
Setting up a new quantitative backtesting or alpha research framework
Structuring a complex data pipeline for merging and cleaning financial data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cinderzhang/driver-plugin init

For use in Claude.ai and ChatGPT

Download Skill

GitHub