subagent-driven-development

Execute implementation plans by dispatching subagents for task implementation and two-stage review.

Updated Nov 13, 2025
One-click install
npx skills add https://github.com/466852675/TISHICIKU-2025 --skill subagent-driven-development-466852675
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/466852675/TISHICIKU-2025/tree/main/07-Skill%E5%BA%93/subagent-driven-development
Command: npx skills add https://github.com/466852675/TISHICIKU-2025 --skill subagent-driven-development-466852675

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the development process by orchestrating AI subagents to execute implementation plans, ensuring code quality through rigorous, multi-stage reviews.

Core Features & Use Cases

  • Task Decomposition: Breaks down complex plans into manageable, independent tasks.
  • Subagent Orchestration: Dispatches specialized subagents for implementation and review.
  • Two-Stage Review: Enforces spec compliance and code quality checks after each task.
  • Iterative Improvement: Facilitates rapid iteration by handling fixes within the same session.
  • Use Case: When you have a detailed feature plan, this Skill can autonomously implement each part, get it reviewed for correctness and quality, and iterate on fixes until the entire feature is complete and ready for merging.

Quick Start

Use the subagent-driven-development skill to execute the implementation plan located at 'plans/new-feature.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 and reviews using AI agents?

Automate code implementation and reviews by dispatching independent subagents to execute tasks, followed by a two-stage review for spec compliance and code quality. This streamlines development by orchestrating specialized agents for implementation and automated quality assurance checks.

What is subagent-driven development for AI workflows?

Subagent-driven development is a workflow that executes implementation plans by dispatching independent subagents for each task. It ensures code quality through a two-stage review process, applying specialized agents for spec compliance and code quality assessment to enforce best practices.

How do I execute a detailed implementation plan step-by-step with AI?

Execute an implementation plan step-by-step by dispatching specialized subagents for each decomposed task. The process includes automated implementation followed by iterative two-stage reviews for spec compliance and code quality, handling fixes within the same session until the feature is complete.

Does subagent orchestration support TDD and automated code review?

Subagent orchestration supports TDD and automated code review by dispatching specialized subagents for implementation, spec review, and code quality assessment. The two-stage review process enforces spec compliance and best practices, ensuring adherence to requirements.

Can I break down complex feature plans into manageable tasks for AI execution?

Break down complex feature plans into manageable, independent tasks using task decomposition. The workflow then dispatches specialized subagents for each task, autonomously implementing each part and iterating on fixes through multi-stage reviews until ready for merging.

What are the limitations of using AI subagents for software development?

AI subagents for software development require a detailed feature plan to function effectively. The workflow is limited to executing provided plans and performing two-stage reviews for spec compliance and code quality, rather than autonomously designing software architecture or generating the initial implementation plan.