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Multi-Agent Collaboration

Multi-Agent Collaboration is a skill for Claude Code from abossenbroek/abossenbroek-claude-plugins. It costs 71 tokens per session (1,251 once invoked), scanned A, original, BSD-3-Clause.

Guidance for designing systems where multiple AI agents cooperate on a task. It covers ways to divide work, pass context between agents, and choose structures such as hierarchical, swarm, or plan-and-execute workflows.

In plain words
What is it for?
Use it to design, implement, or debug multi-agent workflows, select a coordination pattern, and improve communication and context handoffs between agents.
Why use it?
It helps prevent duplicated work, excessive context, unclear handoffs, and coordination problems when several agents contribute to one result.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the red-agent plugin — 2 skills, 7 commands shipped together

not rated 2repo 6mo ago A scan 71 tokens original BSD-3-Clause

Good fit Use it to design, implement, or debug multi-agent workflows, select a coordination pattern, and improve communication and context handoffs between agents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration
View source ↗ abossenbroek/abossenbroek-claude-plugins
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 abossenbroek/abossenbroek-claude-plugins --skill multi-agent-collaboration
Clone the repo
git clone --depth 1 https://github.com/abossenbroek/abossenbroek-claude-plugins

Made for: Claude Code.

Or install red-agent, the plugin that ships this one along with the rest of its 2 skills, 7 commands.

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 Collaboration

README.md
[![agentmods](https://agentmods.dev/badge/skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration/github.svg)](https://agentmods.dev/skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration)
Your own site
<a href="https://agentmods.dev/skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration"><img src="https://agentmods.dev/badge/skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration/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 Collaboration

Your own site · 80×15
<a href="https://agentmods.dev/skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration"><img src="https://agentmods.dev/badge/skills/abossenbroek/abossenbroek-claude-plugins/multi-agent-collaboration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,251 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 $0.00071 $0.01251
Opus 5.5 $0.00028 $0.00500
Sonnet 5.5 $0.00014 $0.00250
Haiku 4.5 $0.00007 $0.00125

Measured 2mo ago against content hash de68f420f8cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Multi-Agent Collaboration 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 2mo 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.

red-agent/skills/multi-agent-collaboration/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Agent Collaboration

Overview

State-of-the-art patterns for context-efficient multi-agent systems. These patterns enable complex agent workflows while minimizing token overhead through strategic context engineering.

Research Foundation

  • Google ADK: Context compilation pipelines and session management
  • Anthropic: Multi-agent coordination and handoff protocols
  • Progressive Disclosure: Agent-readable semantic interfaces
  • LangGraph/CrewAI/AutoGen: Framework-specific orchestration patterns

Pattern Selection Framework

Pattern Use When Trade-offs
Hierarchical Clear decomposition, audit trails Central bottleneck, sequential latency
Swarm Parallel exploration, diverse perspectives Coordination overhead, emergent behavior
ReAct Dynamic adaptation, tool-heavy workflows Myopic decisions, may meander
Plan-Execute Clear sequence, predictability needed Less adaptive, requires replanning
Reflection Quality refinement, self-correction Added latency, may reinforce errors
Hybrid Multiple coordination needs Implementation complexity

For detailed YAML definitions and examples of each pattern, see references/patterns.md.

The Four Laws of Context Management

Law 1: Selective Projection

Pass only fields each agent needs, not full data structures.

# BAD: Full snapshot everywhere
snapshot: {...20KB...}

# GOOD: Selective projection
context:
  mode: deep
  claims_analyzed: 15
  high_risk_count: 4

Law 2: Tiered Context Fidelity

Define explicit tiers based on agent role:

Tier Description Example Agent
FULL Complete data Initial analyzer
SELECTIVE Relevant subset Domain workers
FILTERED Criteria-matched Validators
MINIMAL Mode + counts Strategy/routing
METADATA Scope stats only Report synthesis

Law 3: Reference vs Embedding

For large data, pass reference instead of full structure:

Read the full file on GitHub · 208 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 208 lines · 71 tokens per session scan A de68f420f8cf

Subscribe to this mod's changes

Multi-Agent Collaboration is a skill published in the GitHub repository abossenbroek/abossenbroek-claude-plugins (2 stars, last pushed 6mo ago), licensed BSD-3-Clause. It adds 71 tokens to every session and 1,251 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Building agents
Related

Multi-Agent Collaboration compared with skills from other repositories

Multi-Agent Collaboration next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
Multi-Agent Collaborationabossenbroek/abossenbroek-claude-pluginsSkill26mo agoBSD-3-ClauseA71Claude Code
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex