What is the primary benefit of the Implement skill?

It uses parallel subagent execution to handle multiple facets of development (API, UI, Database, Testing) simultaneously, significantly reducing the time required to build complex features.

How do I start a new feature with this skill?

You can invoke the skill directly in Claude Code using the /implement command followed by your feature description, such as '/implement user dashboard'.

Does this skill support modern frameworks like React 19?

Yes, the skill includes automated research phases that query documentation for the latest versions of frameworks like React 19, FastAPI, and TypeScript 5.x.

How does it handle code quality and testing?

The Implement skill follows a strict 'test-must' policy where every task includes its own tests, followed by a final integration phase that includes security audits and E2E verification.

Full-Stack Feature Implementer

Name: Full-Stack Feature Implementer
Author: yonatangross

byyonatangross

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Productivity & Workflow

Orchestrates end-to-end feature development using parallel subagent execution for simultaneous frontend, backend, and testing workflows.

About

The Implement skill is a high-performance orchestration layer for Claude Code designed to handle complex, production-ready feature development. It leverages parallel subagent execution to simultaneously manage architectural planning, database design, API development, and UI creation. By automating discovery through documentation MCPs and web searches, it ensures that every feature follows current best practices. The skill enforces a test-driven approach and includes built-in phases for security auditing and E2E verification, making it the definitive tool for building robust full-stack applications at scale.

Key Features

Parallel subagent execution for simultaneous development of frontend and backend components
Multi-agent architectural design involving specialized roles like UX researchers and system architects
Automated research phase using web search and library documentation MCPs for best practices
Test-first implementation workflow requiring unit and integration tests for every task
Automated E2E verification and security auditing using agent-driven browser testing
29 GitHub stars

Use Cases

Rapidly prototyping production-grade modules with integrated test coverage and security audits
Orchestrating multiple specialized AI agents to handle cross-functional development tasks in parallel
Building complex full-stack features like user authentication, real-time notifications, or analytics dashboards

About

Key Features

Parallel subagent execution for simultaneous development of frontend and backend components
Multi-agent architectural design involving specialized roles like UX researchers and system architects
Automated research phase using web search and library documentation MCPs for best practices
Test-first implementation workflow requiring unit and integration tests for every task
Automated E2E verification and security auditing using agent-driven browser testing
29 GitHub stars

Use Cases

Rapidly prototyping production-grade modules with integrated test coverage and security audits
Orchestrating multiple specialized AI agents to handle cross-functional development tasks in parallel
Building complex full-stack features like user authentication, real-time notifications, or analytics dashboards