subagent-driven-development

Dispatch AI subagents to implement tasks and review spec compliance and code quality.

1|Updated Dec 22, 2025

Search Tags:#automation #testing #development #code review #code generation #ai agents

Ready to run

npx skills add https://github.com/LuigiAPCPereira/RSSHub --skill subagent-driven-development-luigiapcpereira

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/LuigiAPCPereira/RSSHub/tree/main/jules/skills/superpowers/skills/subagent-driven-development
Command: npx skills add https://github.com/LuigiAPCPereira/RSSHub --skill subagent-driven-development-luigiapcpereira

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of implementing development tasks by orchestrating AI subagents, ensuring code quality and adherence to specifications through a structured, multi-stage review process.

Core Features & Use Cases

Task Decomposition: Breaks down implementation plans into discrete, manageable tasks.
Subagent Orchestration: Dispatches specialized AI subagents for implementation, spec review, and code quality checks.
Iterative Refinement: Manages feedback loops between subagents to fix issues and ensure compliance.
Use Case: When you have a detailed feature plan, this Skill can autonomously implement each part of the plan, with AI reviewers ensuring the code meets requirements and quality standards before moving to the next step.

Quick Start

Use the subagent-driven-development skill to execute the implementation plan located at /path/to/your/plan.md.

Frequently Asked Questions about subagent-driven-development

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

FAQPage Schema

How do I automate code implementation from a development plan?▼

Automate code implementation by dispatching independent AI subagents for each task within an implementation plan. This approach breaks down plans into discrete tasks and orchestrates specialized subagents to autonomously generate code.

How does AI code review work for iterative development?▼

AI code review for iterative development works through a two-stage process: first checking spec compliance and then assessing code quality. It manages feedback loops between subagents to fix issues and ensure requirements are met.

What is subagent-driven development for executing feature plans?▼

Subagent-driven development is a technique that executes well-defined implementation plans within a single session. It leverages specialized AI subagent prompts for distinct roles like implementation, spec review, and code quality assessment.

Can I use AI agents to ensure code meets specifications?▼

Yes, you can use AI agents to ensure code meets specifications through a structured, multi-stage review process. Specialized subagents check code against requirements and manage iterative refinement to guarantee compliance.

Do I need a detailed plan before automating software development?▼

Yes, you need a detailed feature plan before automating software development. This skill is designed to execute well-defined implementation plans, breaking them down into discrete, manageable tasks for autonomous subagents.

When should I not use AI subagents for code generation?▼

You should not use AI subagents for code generation if your project lacks a well-defined implementation plan. The system is specifically designed for executing structured plans within a single session, not for open-ended exploration.