Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence.
SkillScore100Maintained
Automatic
◆AI Engineer pack
Last verified 8/18/2026
What it changes
Passed 23 of 23 test cases with the skill, and 22 of 23 without it.
Without skill96%
With skill100%
Checks it passed that the model alone missed
Recommends a supervisor pattern incorporating human-in-the-loop oversight.
1 fixed22 passed either way0 still failing0 broke
Pass-rate lift
+4 pp
Tokens
+17%
Agent turns
0%
Response time
-17%
Model gemini-3.6-flashMeasured 8/18/2026v123 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
We need an automated code-generation agent workflow, but compliance rules demand that every generated code change must be explicitly reviewed and approved by a senior engineer before deployment. Which orchestration pattern accounts for this constraint?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends a supervisor pattern incorporating human-in-the-loop oversight.
Missed
Passed
case-06 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md81 linessingle file
Agent Organizer
Purpose
Provides expertise in multi-agent system architecture, coordination patterns, and autonomous workflow design. Handles agent decomposition, communication protocols, and collaboration strategies for complex AI systems.
When to Use
Designing multi-agent architectures or agent teams
Implementing agent-to-agent communication protocols
Building hierarchical or swarm-based agent systems
Orchestrating autonomous workflows across agents
Debugging agent coordination failures
Scaling agent systems for production
Designing agent memory sharing strategies
Quick Start
Invoke this skill when:
Designing multi-agent architectures or agent teams
Implementing agent-to-agent communication protocols
Building hierarchical or swarm-based agent systems
Orchestrating autonomous workflows across agents
Scaling agent systems for production
Do NOT invoke when:
Building single-agent LLM applications (use ai-engineer)
Optimizing prompts for individual agents (use prompt-engineer)
Managing agent context windows (use context-manager)
Handling agent failures and recovery (use error-coordinator)