superpowers-dev-mode

Enforce Test-Driven Development principles during active coding phases.

5|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/FaisalAlqarni/sp-ecc --skill superpowers-dev-mode
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: superpowers-dev-mode
Source: https://github.com/FaisalAlqarni/sp-ecc/tree/main/skills/contexts/superpowers-dev-mode
Command: npx skills add https://github.com/FaisalAlqarni/sp-ecc --skill superpowers-dev-mode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill modifies the AI's behavior to optimize for efficient, high-quality code implementation during active development phases, ensuring adherence to best practices like TDD.

Core Features & Use Cases

  • TDD Enforcement: Prioritizes writing tests before implementation (RED-GREEN-REFACTOR cycle).
  • Code Quality Focus: Encourages clean, readable code, minimal implementation, and appropriate abstractions.
  • Use Case: When building a new feature, this mode ensures the AI writes tests first, then the minimal code to pass those tests, leading to robust and well-tested functionality.

Quick Start

Activate superpowers dev mode to begin writing tests for the new user authentication module.

Frequently Asked Questions about superpowers-dev-mode

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

FAQPage Schema
How do I enforce Test-Driven Development principles during active coding cycles?

To enforce Test-Driven Development during active coding cycles, activate an implementation-focused mode that prioritizes the RED-GREEN-REFACTOR cycle. This ensures the AI writes tests first, then generates minimal code to pass them.

What is the best way to optimize an AI agent for clean and efficient code generation?

The best way to optimize an AI agent for clean code generation is to invoke a development mode that enforces YAGNI and DRY principles. This modifies behavior to focus on minimal implementation and appropriate abstractions.

How does applying YAGNI and DRY principles improve my development workflow?

Applying YAGNI and DRY principles improves your development workflow by preventing over-engineering and reducing code duplication. This focused coding mindset ensures the AI generates only the necessary, readable code for robust functionality.

Can I use a workflow skill to guide AI behavior during the implementation phase?

Yes, you can use workflow skills to invoke an implementation-focused mindset for AI agents during active development phases. This activates the desired coding behavior and enforces best practices like TDD throughout the task.

When should I not use a TDD-focused implementation mode for AI code generation?

You should not use a TDD-focused implementation mode during exploratory programming or rapid prototyping phases where writing tests first would slow down iterative concept validation. It is optimized for building robust, well-tested functionality.