multi-agent-orchestration

multi-agent-orchestration is a skill for Claude Code, Codex from fabioc-aloha/Alex_Skill_Mall. It costs 20 tokens per session (2,104 once invoked), scanned A, original, MIT.

A guide to coordinating several AI agents on one complex task by splitting the work, assigning subtasks, and combining the results.

In plain words
What is it for?
Use it for research-and-build workflows, cross-domain tasks, parallel work, and multi-file projects.
Why use it?
One agent can become overloaded by large, unrelated, or parallel tasks. It helps divide work into manageable pieces and use specialist agents where appropriate.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it for research-and-build workflows, cross-domain tasks, parallel work, and multi-file projects.

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Install with agentmods
npx agentmods add skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fabioc-aloha/Alex_Skill_Mall --skill multi-agent-orchestration
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for multi-agent-orchestration

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration/github.svg)](https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration)
Your own site
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for multi-agent-orchestration

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/multi-agent-orchestration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,104 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.02104
Opus 5 $0.00010 $0.01052
Sonnet 5 $0.00004 $0.00421
Haiku 4.5 $0.00002 $0.00210

Measured 8d ago against content hash b04605b52580, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

multi-agent-orchestration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/ai-agents/multi-agent-orchestration/skills/multi-agent-orchestration/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Agent Orchestration Skill

Decompose complex problems into agent-appropriate subtasks, delegate effectively, and synthesize results.

⚠️ Rapid Evolution Domain

Multi-agent patterns are evolving rapidly. This skill captures stable patterns while acknowledging the field is in flux.

Refresh triggers:

  • New orchestration frameworks (LangGraph, AutoGen, CrewAI releases)
  • Claude/GPT native multi-agent features
  • VS Code Copilot agent architecture changes

Last validated: February 2026


Core Concepts

When to Use Multi-Agent

Scenario Single Agent Multi-Agent
Simple code edit ❌ Overkill
Multi-file refactor ✅ (if capable model) ⚠️ Consider
Research + implement ⚠️ Long context ✅ Decompose
Cross-domain task ❌ Context overload ✅ Specialists
Parallel independent work ❌ Sequential ✅ Parallel agents

Agent Roles

Role Responsibility Example
Orchestrator Decompose, delegate, synthesize Main chat session
Specialist Deep expertise in one domain Security reviewer agent
Worker Execute well-defined subtask "Find all usages of X"
Critic Validate, review, improve Code review agent

Decomposition Patterns

1. Horizontal Decomposition (Parallel)

Split task into independent subtasks that can run simultaneously.

┌─────────────────┐
│  Orchestrator   │
└───────┬─────────┘
        │ decompose
   ┌────┴────┬────────┐
   ▼         ▼        ▼
┌─────┐  ┌─────┐  ┌─────┐
│ A1  │  │ A2  │  │ A3  │   (parallel)
└──┬──┘  └──┬──┘  └──┬──┘
   └────────┼────────┘
            ▼
      synthesize

When to use:

  • Tasks have no dependencies
  • Results can be merged mechanically
  • Time is critical

Example: "Search for security issues in auth, api, and database modules"

2. Vertical Decomposition (Pipeline)

Chain agents where each builds on previous output.

Read the full file on GitHub · 324 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 324 lines · 20 tokens per session scan A b04605b52580

Subscribe to this mod's changes

multi-agent-orchestration is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 2,104 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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