orchestration

Coordinate multi-agent workflows by delegating tasks to specialized agents.

1.0k|105|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/numman-ali/n-skills --skill orchestration-numman-ali
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/numman-ali/n-skills/tree/main/skills/workflow/orchestration/skills/orchestration
Command: npx skills add https://github.com/numman-ali/n-skills --skill orchestration-numman-ali

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables reliable coordination of multiple agents to tackle complex tasks that benefit from parallel work, task decomposition, and real-time visibility.

Core Features & Use Cases

  • Two-layer task management: persistent cc-mirror task graphs combined with live TodoWrite session updates.
  • Parallel execution: spawn multiple workers to explore and execute tasks concurrently.
  • Synthesis and delivery: aggregate results into coherent, user-ready outputs.

Quick Start

Use this Skill to orchestrate a PR review by decomposing it into parallel analysis tasks and synthesizing findings into a final report.

Frequently Asked Questions about orchestration

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

FAQPage Schema
How do I coordinate multiple agents to work on complex tasks in parallel?

Multi-agent orchestration decomposes complex work into parallel tasks assigned to specialized agents, then synthesizes their results. Use cc-mirror to maintain persistent task graphs and TodoWrite for real-time session visibility across all workers.

Can I use orchestration for code review workflows?

Yes. Orchestrate PR reviews by delegating parallel analysis tasks—code quality, logic, security, documentation—to separate agents, then aggregate findings into a cohesive final report.

What's the difference between persistent task tracking and live session updates?

Persistent task graphs (cc-mirror) store long-lived workflow state across sessions; live updates (TodoWrite) display real-time progress during active execution. Two-layer management combines both for reliability and visibility.

When should I use parallel agent execution instead of sequential processing?

Use parallel execution when tasks are independent and benefit from concurrent exploration—feature development, bug analysis, documentation generation. Sequential work suits tightly coupled dependencies.

Do I need specialized infrastructure to run multi-agent workflows?

No infrastructure prerequisites are required. The orchestration model handles agent coordination, task decomposition, and result synthesis within your existing environment using cc-mirror and TodoWrite for state management.

How do I aggregate results from parallel agents into a final deliverable?

After parallel agents complete their tasks, the synthesis layer collects, validates, and merges findings into coherent, user-ready output—reports, summaries, or actionable recommendations.