driver

DRIVER™ Plugin for Claude Code

A methodology for AI-augmented finance and quantitative tool development.

Cognition Mate (认知伙伴) — 互帮互助，因缘合和，互相成就 Mutual help. Interdependent arising. Accomplishing together.

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What is DRIVER™?

DRIVER guides you through six stages from concept to completion:

Stage	Purpose	Iron Law
Define	Discover + define vision	No building without 分头研究 first
Represent	Plan part by part	Don't reinvent what exists
Implement	Build and run	Show don't tell
Validate	Cross-check your instruments	Known answers, reasonableness, edges, AI risks
Evolve	Package deliverable	Self-contained export
Reflect	Capture learnings	Document what didn't work

The Philosophy

AI is not a tool you command — it's a thinking partner.

• You bring: vision, domain expertise, judgment
• AI brings: patterns, research ability, heavy lifting on code
• Neither creates alone — meaning emerges from interaction

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Installation

From GitHub (Recommended)

In Claude Code, run these two commands:

# Step 1: Add the DRIVER marketplace
/plugin marketplace add CinderZhang/driver-plugin

# Step 2: Install the finance-driver plugin
/plugin install finance-driver@driver

Then restart Claude Code to activate the plugin.

Verify Installation

After restarting, run:

/finance-driver:help

You should see the full DRIVER reference with all available skills.

Manual Installation (Alternative)

If the plugin commands aren't available in your version of Claude Code, you can clone and reference the repo directly:

git clone https://github.com/CinderZhang/driver-plugin.git ~/.claude/plugins/driver-plugin

Then add to your ~/.claude/settings.json:

{
  "plugins": {
    "driver-plugin": {
      "source": "~/.claude/plugins/driver-plugin"
    }
  }
}

Restart Claude Code after adding.

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Quick Start

# Start Claude Code in your project directory
claude

# Initialize a DRIVER project
/finance-driver:init

# Check available commands
/finance-driver:help

# Begin with research and definition
/finance-driver:define

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Available Skills

Utility

Skill	Purpose
/finance-driver:init	Initialize a new DRIVER project
/finance-driver:status	Show progress, suggest next step
/finance-driver:help	Full reference with Chinese term explanations
/finance-driver:research	Lightweight 分头研究 — find libraries, approaches, references anytime

DEFINE Stage

Skill	Purpose
/finance-driver:define	Research and define product vision (开题调研)

REPRESENT Stage

Skill	Purpose
/finance-driver:represent-roadmap	Break into 3-5 buildable sections
/finance-driver:represent-datamodel	Define core entities
/finance-driver:represent-tokens	Choose colors and typography
/finance-driver:represent-shell	Design navigation shell
/finance-driver:represent-section	Spec a section

IMPLEMENT Stage

Skill	Purpose
/finance-driver:implement-data	Create sample data
/finance-driver:implement-screen	Build and run code

VALIDATE Stage

Skill	Purpose
/finance-driver:validate	Cross-check: known answers, reasonableness, edges, AI risks

EVOLVE Stage

Skill	Purpose
/finance-driver:evolve	Generate final export package

REFLECT Stage

Skill	Purpose
/finance-driver:reflect	Capture learnings and tech stack lessons

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For Quant/Finance Work

DRIVER recommends Python + Streamlit over TypeScript/React for analytical tools:

UI:           Streamlit (or Dash/Panel)
Backend:      FastAPI + Pydantic
Calculations: NumPy, Pandas, SciPy
Finance:      numpy-financial, QuantLib
Data:         See "Recommended Data Sources" below

Why Python?

• NumPy handles edge cases (safe division, vectorized ops)
• Pydantic validates inputs at boundaries
• No npm complexity, no TypeScript type juggling
• Better finance libraries

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Recommended Data Sources

DRIVER builds tools with AI — your data source should work with LLMs, not against them.

LLM-Native (MCP + AI-first design)

Provider	MCP Server	Best For	Pricing
financialdatasets.ai	Official	Fundamentals, SEC filings, prices	$0.01/req or $200/mo
Alpha Vantage	Official	Multi-asset, technicals, news	Free tier + paid