orchestrator

Coordinate parallel workers executing feature plans with dependency handling.

Updated Jan 19, 2026

Search Tags:#automation #workflow #parallel #coordination #orchestrator #multi-track

Ready to run

npx skills add https://github.com/tienchinh21/skills-for-mini-zalo-app --skill orchestrator-tienchinh21

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/tienchinh21/skills-for-mini-zalo-app/tree/main/orchestrator
Command: npx skills add https://github.com/tienchinh21/skills-for-mini-zalo-app --skill orchestrator-tienchinh21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill coordinates multiple parallel workers to execute a feature plan, enabling structured orchestration across tracks to improve throughput and consistency.

Core Features & Use Cases

Load Execution Plans and validate tracks for non-overlapping scopes.
Spawn, monitor, and synchronize multiple workers across tracks with dependency handling.
Final verification and cross-track integration to ensure cohesive delivery.
Use Case: Orchestrate a multi-step feature that requires parallel implementation tracks with a central integration point.

Quick Start

Start by loading an execution plan, then spawn workers for each track, monitor progress, and run sync points as needed. Then verify the final output against the plan.

Frequently Asked Questions about orchestrator

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

FAQPage Schema

How do I coordinate parallel workers for a multi-track feature implementation?▼

To coordinate parallel workers for a multi-track feature implementation, you can load an execution plan, spawn workers for each track, monitor progress, and run synchronization points. This pipeline-driven workflow manages track scopes and bead dependencies to ensure cohesive delivery.

What is the best way to handle task dependencies in parallel workflow automation?▼

Handling task dependencies in parallel workflow automation requires a pipeline with phases like Spawn Workers, Monitor, and Synchronize. This approach manages track scopes and bead dependencies, ensuring tasks run in parallel without overlapping scopes or integration conflicts.

Can I use this orchestrator for automated runbooks requiring cross-team coordination?▼

Yes, you can use this orchestrator for automated runbooks requiring cross-team coordination. It applies to multi-track development workflows, managing parallel task execution with dependency handling and central integration points to verify the final output against the plan.

How do I validate execution plans before spawning parallel workers?▼

To validate execution plans before spawning parallel workers, the system loads the plan and validates tracks for non-overlapping scopes. This ensures that each parallel worker operates within a distinct boundary, preventing conflicts during the synchronization phase.

Does multi-track workflow coordination support final integration verification?▼

Yes, multi-track workflow coordination supports final integration verification. After monitoring and synchronizing multiple workers across tracks, the pipeline runs a final verification step to ensure cross-track integration and cohesive delivery against the original plan.