architecture-layers

Defines layers and boundaries for placing new modules in Think TARS projects.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/freddomingues/think-tars --skill architecture-layers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: architecture-layers
Source: https://github.com/freddomingues/think-tars/tree/main/.cursor/skills/architecture-layers
Command: npx skills add https://github.com/freddomingues/think-tars --skill architecture-layers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams decide where to place new modules by defining layers and boundaries for Think TARS.

Core Features & Use Cases

  • Clarifies responsibilities across Entrypoints, Backend, Frontend, AI, Ingest, and Data.
  • Guides placement decisions for new modules, services, and features.
  • Supports architecture reviews and onboarding.

Quick Start

Review a new module and decide its optimal home: place in app/main.py, backend, frontend, or ai/.

Frequently Asked Questions about architecture-layers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decide where to place a new module across frontend, backend, and AI layers?

To decide module placement, you define architectural layers and boundaries that enforce clear ownership and decoupled components. This skill clarifies responsibilities across entrypoints, backend, frontend, AI, ingest, and data to guide optimal service placement.

What is the best way to establish clear boundaries for decoupled software components?

The best way to establish clear boundaries is by defining specific layers for entrypoints, backend, frontend, AI, ingest, and data. This enforces clear ownership and decoupled components, guiding directory or service placement decisions for new modules.

Can I use this approach for architecture reviews and team onboarding?

Yes, you can use this layer and boundary definition approach for architecture reviews and onboarding. It clarifies responsibilities across distinct layers, helping new team members quickly understand where new modules, services, and features belong.

How do you determine if a new feature belongs in app/main.py, the backend, or the AI directory?

You determine feature placement by reviewing the module against predefined layers and boundaries. This skill guides optimal placement decisions, helping you choose whether a new module belongs in app/main.py, backend, frontend, or the ai/ directory.

Why do I need to define separate layers for entrypoints, ingest, and data?

You need to define separate layers for entrypoints, ingest, and data to enforce clear ownership and keep components decoupled. This structural clarity prevents overlapping responsibilities and guides accurate directory or service placement across your architecture.