new-feature

Orchestrate specialized AI agents to develop software features with code review and QA.

1|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/LeoHeo/dev-squad --skill new-feature-leoheo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: new-feature
Source: https://github.com/LeoHeo/dev-squad/tree/main/skills/new-feature
Command: npx skills add https://github.com/LeoHeo/dev-squad --skill new-feature-leoheo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire process of developing new features by orchestrating a team of specialized AI agents, ensuring comprehensive code review, security checks, and QA before committing.

Core Features & Use Cases

  • Agent Team Orchestration: Leverages multiple AI agents (CTO Lead, Frontend, Backend, Security, QA) for parallel development and specialized tasks.
  • End-to-End Workflow: Manages requirements gathering, project setup, parallel implementation, validation, and commit generation.
  • Use Case: Kickstart a new user authentication module by defining requirements, having agents build the backend API and frontend components concurrently, and then automatically performing security scans and QA tests.

Quick Start

Use the new-feature skill to start developing a new user profile editing feature.

Frequently Asked Questions about new-feature

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

FAQPage Schema
How do I use AI agents for feature development in my software project?

AI agent feature development works by orchestrating specialized agents like CTO Lead, Frontend, Backend, Security, and QA to handle project setup, parallel implementation, code review, and commits.

Can I automate code review and security checks during feature development?

Yes, automated code review and security checks are integrated into the workflow. Specialized agents perform these validations alongside QA testing before generating conventional commits.

What is the best way to coordinate frontend and backend implementation concurrently?

The best way to coordinate frontend and backend implementation concurrently is by using an orchestrated team of AI agents that manage task and message passing to execute parallel development.

How do I start a new feature workflow that manages branch structure and commits automatically?

To start a new feature workflow, trigger the skill to handle project structure detection, requirement gathering, branch management, and final conventional commit generation automatically.

Does AI workflow automation work with existing project structures for team collaboration?

Yes, AI workflow automation handles project structure detection automatically, allowing it to integrate with existing codebases to coordinate team collaboration and parallel agent tasks.

What are the limitations of using AI agents for end-to-end feature development?

Limitations of using AI agents for end-to-end feature development include potential dependency on manual requirement gathering clarity and the complexity of orchestrating task passing across multiple specialized agents.