subagent-driven-development

Dispatch a fresh subagent per task with a two-stage review workflow.

1|1|Updated Dec 1, 2025

Search Tags:#automation #workflow #development #review #subagent #ai-assistant #spec-compliance

Ready to run

npx skills add https://github.com/shmily1012/AutoWriter --skill subagent-driven-development-shmily1012

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/shmily1012/AutoWriter/tree/main/.claude/skills/subagent-driven-development
Command: npx skills add https://github.com/shmily1012/AutoWriter --skill subagent-driven-development-shmily1012

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating large, multi-step tasks across multiple specialized agents can cause context leakage, inconsistent results, and slow iteration. This skill provides a disciplined approach by delegating each task to a fresh subagent and enforcing a strict review loop that keeps work focused and traceable.

Core Features & Use Cases

Fresh subagent per task to isolate context and reduce cross-contamination.
Two-stage review: first verify adherence to the specification, then assess code quality and integration.
Prompts and templates for implementers and reviewers to standardize workflow and guardrails.
Structured iteration with clear status handling and escalation paths.
Use cases include end-to-end plan execution, complex feature development, and rapid prototyping in collaborative AI-driven environments.

Quick Start

Dispatch a fresh subagent for the defined task and begin the two-stage review workflow to validate results.

Frequently Asked Questions about subagent-driven-development

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

FAQPage Schema

How do I coordinate multi-step AI tasks without context leakage?▼

To coordinate multi-step AI tasks without context leakage, dispatch a fresh subagent per task to isolate context. This subagent-driven development approach reduces cross-contamination and keeps work focused and traceable across complex feature development.

How do I automate spec compliance and code quality reviews in AI workflows?▼

Automate spec compliance and code quality reviews using a two-stage review workflow. A reviewer subagent first verifies adherence to the specification, then assesses code quality and integration, ensuring correctness across dispatched tasks.

What is the best way to standardize prompts for AI-assisted development?▼

The best way to standardize AI-assisted development is using pre-defined prompts and templates for implementers and reviewers. This structured iteration enforces guardrails, standardizes the workflow, and ensures consistent task execution.

Can I use subagent-driven development for rapid prototyping?▼

Yes, you can use subagent-driven development for rapid prototyping in collaborative AI-driven environments. It provides structured iteration with clear status handling and escalation paths for end-to-end plan execution.

Why does my multi-agent task execution produce inconsistent results?▼

Multi-agent task execution produces inconsistent results due to context leakage across specialized agents. Delegating each task to a fresh subagent isolates context, providing a disciplined approach that keeps results consistent and traceable.