What is Task Layering?

Task Layering is a methodology that breaks down software specifications into tiers based on complexity and dependency, allowing for better organization and parallel execution of work.

How does this skill assign different AI agents?

It assigns tasks based on the specific strengths of AI models: Claude handles complex architecture and security, Copilot manages simple implementations, Qwen optimizes performance, Gemini handles documentation, and Codex focuses on testing.

What are the three organization layers?

Tasks are grouped into the Foundation layer (core dependencies), the Parallel layer (tasks that can be done simultaneously), and the Integration layer (tasks that combine work and verify the final result).

Does this skill create actual files?

Yes, it generates a master layered-tasks.md file along with individual task files for each assigned agent, such as claude-tasks.md and copilot-tasks.md.

Task Layering & Agent Orchestrator

Name: Task Layering & Agent Orchestrator
Author: vanman2024

byvanman2024

Productividad y Flujo de Trabajo

Organizes development specifications into complexity-stratified tasks and assigns them to specialized AI agents for optimized parallel execution.

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This skill streamlines the development lifecycle by breaking down complex project specifications into manageable, stratified tasks. It categorizes work by complexity levels—ranging from trivial updates to high-level architectural decisions—and organizes them into foundational, parallel, and integration layers. By intelligently assigning tasks to specialized AI models like Claude, Copilot, and Qwen based on their specific strengths, it enables maximum parallelization and efficient workflow management while ensuring all technical dependencies are respected.

Características Principales

Complexity stratification (Scale 0-3) for precise task estimation
Automated generation of agent-specific task files for distributed workflows
Structured output including layered-tasks.md for project-wide visibility
Dependency-aware organization using Foundation, Parallel, and Integration layers
0 GitHub stars
Multi-agent task assignment optimized for Claude, Copilot, Qwen, Gemini, and Codex

Casos de Uso

Deconstructing monolithic requirements into prioritized, actionable task lists
Managing large feature rollouts with multiple concurrent workstreams
Orchestrating a multi-agent AI development environment to accelerate delivery

Acerca de

Características Principales

Complexity stratification (Scale 0-3) for precise task estimation
Automated generation of agent-specific task files for distributed workflows
Structured output including layered-tasks.md for project-wide visibility
Dependency-aware organization using Foundation, Parallel, and Integration layers
0 GitHub stars
Multi-agent task assignment optimized for Claude, Copilot, Qwen, Gemini, and Codex

Casos de Uso

Deconstructing monolithic requirements into prioritized, actionable task lists
Managing large feature rollouts with multiple concurrent workstreams
Orchestrating a multi-agent AI development environment to accelerate delivery