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.