subagent-driven-development

Delegate tasks to isolated subagents with two-stage specification and quality reviews.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/wolfbela/claude-skill --skill subagent-driven-development-wolfbela
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/wolfbela/claude-skill/tree/main/weshake/skills/subagent-driven-development
Command: npx skills add https://github.com/wolfbela/claude-skill --skill subagent-driven-development-wolfbela

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? Subagent-driven development orchestrates task execution by delegating to specialized, isolated subagents, enabling focused work, faster iteration, and higher quality results.

## Core Features & Use Cases

  • Fresh per-task subagents with context isolation to prevent cross-task contamination.
  • Two-stage review workflow: spec compliance followed by code quality review.
  • Use cases include planning complex multi-task plans, executing independent tasks in sequence or parallel, and ensuring guardrails and reversibility.

### Quick Start Initiate a plan for the current task and dispatch a fresh implementer subagent to execute it.

Frequently Asked Questions about subagent-driven-development

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

FAQPage Schema
How do I use subagents for AI agent orchestration in complex multi-step workflows?▼

Subagent orchestration delegates work to fresh subagents with isolated context, enabling focused execution for complex, multi-step workflows. This approach applies structured prompts to planning, task execution, and iterative reviews to prevent cross-task contamination.

What is context isolation in multi-agent task execution and why is it needed?▼

Context isolation uses fresh per-task subagents to prevent cross-task contamination during multi-agent task execution. By maintaining isolated contexts, each subagent focuses strictly on its designated work, ensuring higher quality results and preventing irrelevant data from affecting execution.

How do I implement a two-stage review workflow for AI-generated code?▼

A two-stage review workflow first checks specification compliance, then evaluates code quality. This structured review process is applied iteratively after subagent execution, ensuring the output meets functional requirements before undergoing a separate quality assurance check.

Can I execute independent tasks in parallel using subagent orchestration?▼

Subagent orchestration supports executing independent tasks in sequence or parallel based on your plan. This multi-agent task execution capability allows you to handle complex, multi-task plans while ensuring guardrails and reversibility throughout the process.

What are the limitations of using fresh subagents for planning and task execution?▼

Using fresh subagents for task execution requires structured prompts and strict per-task isolation to function correctly. Without proper orchestration, complex multi-step workflows may lose context continuity, making it crucial to apply two-stage reviews to verify specification compliance.