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orchestrate

Orchestrate parallel multi-agent tasks with one-file-one-owner file ownership.

1|Updated Jan 15, 2026
Search Tags:#agents#parallel#coordination#work-packages#orchestrate#multi-terminal#file-ownership
One-click install
npx skills add https://github.com/Ankurjain1121/dev-workflow-skills --skill orchestrate-ankurjain1121
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrate
Source: https://github.com/Ankurjain1121/dev-workflow-skills/tree/main/plugins/ui-factory/skills/orchestrate
Command: npx skills add https://github.com/Ankurjain1121/dev-workflow-skills --skill orchestrate-ankurjain1121

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates coordination bottlenecks in large tasks by enforcing a strict ONE FILE = ONE OWNER rule and enabling parallel execution across multiple agents, speeding up delivery.

Core Features & Use Cases

  • One File, One Owner: Each file is assigned to a single agent to avoid edit conflicts.
  • Multi-Terminal Workflows: Spawns parallel agents across Claude, Gemini, and Qwen for 10+ files or complex tasks.
  • Deterministic Work Packages: Produces clear ownership and progress tracking that can be merged into specs/implementation.
  • Progress Coordination: Coordinates updates through specs/design.md and implementation.md, and uses a centralized lock/file system.

Quick Start

Use the orchestrate skill to start a multi-agent session for a feature, e.g. /orchestrate add authentication with login and signup. For larger tasks, add --multi or --terminals N to scale terminals.

Frequently Asked Questions about orchestrate

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

FAQPage Schema
How do I prevent file edit conflicts when running parallel agents?▼

You can prevent edit conflicts during parallel agent execution by enforcing a strict ONE FILE = ONE OWNER rule that assigns each file to a single agent. This approach eliminates coordination bottlenecks and ensures safe parallel execution.

Can I coordinate multi-terminal workflows across different AI models?▼

Yes, you can coordinate multi-terminal workflows across Claude, Gemini, and Qwen. This multi-terminal support allows you to spawn parallel agents for complex tasks spanning 10 or more files to maximize delivery speed.

How do I track progress for parallel tasks across multiple agents?▼

You track progress for parallel tasks through automatically generated deterministic work packages and centralized file locks. Progress updates are coordinated via specs/design.md and implementation.md files to maintain synchronized tracking.

What is the best way to orchestrate large codebase tasks across multiple terminals?▼

The best way to orchestrate large codebase tasks is to generate deterministic work packages and spawn parallel agents. You can scale terminals by adding --multi or --terminals N parameters to distribute the workload efficiently.

When do I need parallel task orchestration for my codebase?▼

You need parallel task orchestration when your tasks involve 10 or more files and face coordination bottlenecks. It scales from small to large codebases by enforcing file ownership and enabling multi-terminal agent execution.

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