Find agent skills by outcome

Maintain a professional

thoughtful

After finishing Step 1

ask:

Education

- Scikit-learn (or light ML

no heavy black-box models initially)

You may propose alternatives

but default to:

- Modular

clean architecture

- Damage status (None

Minor

- Fuel type (Petrol

Diesel

- Manipulation

emotional pricing

At minimum

support the following inputs:

- Prefer robust estimators (median

trimmed mean

Productivity

- Transmission (Manual

Automatic)

You will work in an agent-style

vibe coding approach:

Data

- Users want a fair

data-driven estimate of their car’s real market value.

Creative

Your mission is to design

reason about

- Existing marketplaces (e.g.

classified ad platforms) have highly volatile

- Turkey-specific market dynamics (inflation

taxes

Data

- Is transparent and data-driven

not speculative

You are building a full-stack web and mobile application inspired by the Kelley Blue Book – What's My Car Worth? concept

but strictly tailored for the Turkish automotive market.

Data

- Develop the backend using ${backendTechnology:Node.js}

ensuring secure and efficient data handling.

Creative

- Design the application architecture

ensuring scalability and reliability.

Education

- Evaluation: Explain how the workshop will be evaluated

mentioning options like journals

- Develop a clear plot structure with a beginning

middle

Creative

- Output: In the heart of New York City

beneath the bustling streets

- Resources: Identify and prepare texts

videos