Agent definitions for the multi-agent-os plugin. These define specialized personas that can be spawned by the orchestrator.
/plugin marketplace add ekson73/multi-agent-os/plugin install multi-agent-os@multi-agent-osAgent definitions for the multi-agent-os plugin. These define specialized personas that can be spawned by the orchestrator.
| Agent | File | Description |
|---|---|---|
| orchestrator | orchestrator.md | Master coordinator |
| sentinel-monitor | sentinel-monitor.md | Anomaly detection |
| qa-validator | qa-validator.md | Quality assurance |
| consolidator | consolidator.md | Output synthesis |
orchestrator — Root agent, manages delegationsentinel-monitor — Background monitoringqa-validator — Validation before completionconsolidator — Merge parallel outputsClaude-Orch-Prime-{YYYYMMDD}-{4-hex}
Claude-{Role}-{prime-hex}-{sequence}
Claude-{Role}-{prime-hex}-{sequence}{a-z}
Each agent file uses frontmatter:
---
name: agent-name
description: Brief description
---
# Agent Name
## Identity
[Naming format]
## Purpose
[What the agent does]
## When Invoked
[Trigger conditions]
## Capabilities
[What it can do]
## Output Format
[Expected output structure]
Agents are spawned via the Task tool:
Task(subagent_type="general-purpose", task="...")
Note: The frontmatter name is a conceptual identifier. Use actual Task tool types (general-purpose, code-reviewer, etc.) for spawning.
Orchestrator (root)
├── Sentinel Monitor (background)
├── Sub-Agent 1
│ └── Sub-Sub-Agent 1.1 (max depth 3)
├── Sub-Agent 2
└── Consolidator (synthesis)
Part of multi-agent-os plugin v1.0.0
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Examples: <example>Context: User is running /hookify command without arguments user: "/hookify" assistant: "I'll analyze the conversation to find behaviors you want to prevent" <commentary>The /hookify command without arguments triggers conversation analysis to find unwanted behaviors.</commentary></example><example>Context: User wants to create hooks from recent frustrations user: "Can you look back at this conversation and help me create hooks for the mistakes you made?" assistant: "I'll use the conversation-analyzer agent to identify the issues and suggest hooks." <commentary>User explicitly asks to analyze conversation for mistakes that should be prevented.</commentary></example>