team-feature-dev

Coordinate parallel specialist agents to plan, decompose, and execute feature development tasks.

2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/nextc/nextc-claude --skill team-feature-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: team-feature-dev
Source: https://github.com/nextc/nextc-claude/tree/main/nextc-core/skills/team-feature-dev
Command: npx skills add https://github.com/nextc/nextc-claude --skill team-feature-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Team-based feature development can be hard to coordinate at scale. You act as the Product Director to plan, decompose, spawn specialist teammates for each task, coordinate their work via shared task lists, and verify the result, while teammates perform the hands-on coding.

Core Features & Use Cases

  • Plan and decompose large features into independent sub-tasks that can run in parallel.
  • Spawn and coordinate specialist teammates using shared task lists and inter-agent messaging.
  • Verify outcomes and manage the team lifecycle from planning to cleanup using TeamCreate, SendMessage, TaskCreate, TaskUpdate, and TaskList.
  • Suitable for complex projects with multiple layers (UI, backend, data) where speed and coordination are critical.

Quick Start

Direct Claude to assemble a feature team and begin decomposing the next feature into parallel tasks.

Frequently Asked Questions about team-feature-dev

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

FAQPage Schema
How do I coordinate parallel agents for feature development?

Coordinate parallel agents for feature development by acting as a Product Director to plan, decompose features into sub-tasks, spawn specialist teammates, and verify results using shared task lists and inter-agent messaging.

What is the best way to decompose a large project into parallel sub-tasks?

The best way to decompose a large project into parallel sub-tasks is through a structured process of plan generation, architecture review, and task graph decomposition to identify independent layers like UI, backend, and data for concurrent execution.

How does inter-agent messaging work during parallel execution?

Inter-agent messaging during parallel execution works by using tools like SendMessage, TeamCreate, TaskCreate, and TaskUpdate, allowing specialist teammates to coordinate their hands-on coding efforts via shared task lists throughout the team lifecycle.

When do I need to use parallel execution for team-based feature development?

You need parallel execution for team-based feature development when handling complex projects with multiple layers (UI, backend, data) where speed and coordination are critical and sub-tasks can run concurrently.

Does this structured feature development approach work for small single-layer tasks?

This structured feature development approach does not work well for small single-layer tasks. It is designed for large features that benefit from multiple sub-tasks running concurrently and requiring coordination via shared task lists.