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.