subagent-driven-development

Orchestrate independent subagents to execute implementation plans with isolated context and two-stage reviews.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/TwuanMinn/fadelab --skill subagent-driven-development-twuanminn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/TwuanMinn/fadelab/tree/main/.agent/skills/skills/subagent-driven-development
Command: npx skills add https://github.com/TwuanMinn/fadelab --skill subagent-driven-development-twuanminn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Subagent-driven development solves the challenge of coordinating multiple tasks in a single session by distributing work to fresh subagents, each owning a task with isolated context and independent reviews.

Core Features & Use Cases

  • Fresh subagent per task to prevent context leakage and accelerate feedback loops
  • Two-stage review after each task: spec compliance first, then code quality
  • Template-driven task orchestration from a single plan with deterministic progress tracking

Quick Start

Dispatch the implementation plan and initiate per-task subagents, then rely on two-stage reviews to complete tasks.

Frequently Asked Questions about subagent-driven-development

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

FAQPage Schema
How do I execute multiple independent implementation tasks in a single AI session?

Subagent-driven development solves this by distributing work to fresh subagents, each owning a task with isolated context. This approach accelerates feedback loops and prevents context leakage while executing complex, multi-task workflows within a single session.

How does two-stage code review work for AI-generated task plans?

Two-stage review first checks spec compliance to verify requirements are met, then evaluates code quality. This process runs after each individual task completes, ensuring both functional correctness and maintainability across the orchestrated workflow.

Can I use task orchestration for complex workflows with mostly independent tasks?

Task orchestration is designed for complex, multi-task workflows where tasks are mostly independent. It supports per-task context isolation and template-driven prompts, allowing fast iteration without cross-task interference.

What is context isolation in AI task orchestration?

Context isolation means each subagent receives a fresh context for its specific task, preventing leakage from previous tasks. This ensures deterministic progress tracking and maintains clean execution boundaries throughout the orchestration workflow.

When should I avoid using fresh subagents for plan execution?

Avoid fresh subagent orchestration when tasks are highly dependent on each other or require shared context. This approach works best for mostly independent tasks where isolated execution and fast iteration are prioritized over cross-task communication.