subagent-driven-development

Orchestrate independent subagents executing per-task plans with two-stage reviews.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/vincent-ng/OpenAgentArm --skill subagent-driven-development-vincent-ng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: subagent-driven-development
Source: https://github.com/vincent-ng/OpenAgentArm/tree/main/.trae/skills/subagent-driven-development
Command: npx skills add https://github.com/vincent-ng/OpenAgentArm --skill subagent-driven-development-vincent-ng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a disciplined framework to break down complex plans into independent subagents, each executing assigned tasks with isolated context and a built-in two-stage review to ensure quality and conformity.

Core Features & Use Cases

  • Per-task subagents with isolated contexts to prevent cross-contamination of plans.
  • Two-stage reviews: first validate specifications, then assess code quality before integration.
  • Parallel task execution with structured coordination to accelerate multi-task workflows.
  • Use Case: When a plan contains multiple independent tasks, deploy a dedicated subagent for each task and apply staged reviews to guarantee correctness and speed.

Quick Start

Split the plan into per-task subagents and start the two-stage review workflow on each task.

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 multi-task plan execution using subagents?

Automate multi-task plan execution by deploying independent subagents per task with isolated contexts. This ensures iterative two-stage reviews validate specifications before code quality, preventing cross-contamination and accelerating parallel workflows.

What is the best way to prevent context cross-contamination in AI agent workflows?

Prevent context cross-contamination by assigning each task to a dedicated subagent with strictly isolated context. This approach enforces structured coordination and prevents overlapping data between discrete plan execution steps.

How does a two-stage code review work for autonomous AI agents?

A two-stage code review enforces strict sequencing: it first validates task specifications, then assesses code quality before integration. This guarantees correctness, conformity, and traceable results for independent subagent execution.

Can I run parallel task execution with isolated contexts for complex software plans?

Yes, you can execute parallel tasks by splitting complex plans into per-task subagents. This structured coordination accelerates multi-task workflows while maintaining strict isolated contexts and predefined prompts for high-quality results.

When do I need to use dedicated subagents for plan execution?

Use dedicated subagents when a complex plan contains multiple independent tasks requiring isolated context, iterative reviews, and parallel execution to guarantee correctness, conformity, and high-quality integration.

How do I ensure traceable results when orchestrating autonomous AI agents?

Ensure traceable results by enforcing strict sequencing between planners and reviewers using predefined prompts and templates. This disciplined framework validates specifications before assessing code quality for every independent task.