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

0•

생산성 및 워크플로

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

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.

주요 기능

01Complexity stratification (Scale 0-3) for precise task estimation

02Automated generation of agent-specific task files for distributed workflows

03Structured output including layered-tasks.md for project-wide visibility

04Dependency-aware organization using Foundation, Parallel, and Integration layers

050 GitHub stars

06Multi-agent task assignment optimized for Claude, Copilot, Qwen, Gemini, and Codex

사용 사례

01Deconstructing monolithic requirements into prioritized, actionable task lists

02Managing large feature rollouts with multiple concurrent workstreams

03Orchestrating a multi-agent AI development environment to accelerate delivery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vanman2024/dev-lifecycle-marketplace task-layering

For use in Claude.ai and ChatGPT

Download Skill