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SKILL verified MIT Self-run

Agent Role Design

skill-owl-listener-ai-design-skills-agent-role-design · by Owl-Listener

Defining what each agent does, knows, and owns in a multi-agent system.

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Install

$ agentstack add skill-owl-listener-ai-design-skills-agent-role-design

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Agent Role Design

In a multi-agent system, each agent needs a clearly defined role — what it does, what it knows, what it's responsible for, and where its authority ends. Without clear roles, agents duplicate work, conflict with each other, or leave gaps.

Defining an Agent Role

For each agent in the system, specify:

  • Purpose: What is this agent for? One sentence describing its reason to exist.
  • Capabilities: What can this agent do? List specific actions and outputs.
  • Knowledge scope: What does this agent know about? What domains, data, and context does it have access to?
  • Authority: What decisions can this agent make autonomously? What requires approval?
  • Boundaries: What is explicitly outside this agent's scope? Where does it stop and hand off?
  • Success criteria: How do you know this agent is doing its job well?

Role Design Principles

  • Single responsibility: Each agent should have one clear purpose. If you need a paragraph to explain what it does, it's doing too much.
  • Clear boundaries: The line between one agent's scope and another's should be unambiguous. No overlapping authority without explicit conflict resolution.
  • Minimal coupling: Agents should be able to do their work with minimal dependencies on other agents. Share results, not process.
  • Appropriate autonomy: The level of autonomous decision-making should match the stakes and the agent's reliability in that domain.

Role Patterns

  • Specialist: Deep expertise in one domain. Handles all tasks of a specific type.
  • Router: Doesn't do work itself but directs tasks to the right specialist.
  • Orchestrator: Manages the overall workflow, coordinates between specialists.
  • Validator: Reviews other agents' outputs for quality, safety, or compliance.
  • Fallback: Handles cases that other agents can't or won't.

Role Conflicts

When agents' roles overlap or conflict:

  • Priority rules: When two agents could handle a task, which one gets it?
  • Escalation paths: When agents disagree, who decides?
  • Shared resources: When agents need the same data or tools, how is access managed?
  • Feedback loops: How do agents inform each other about what they've done?

Design Artefacts

  • Agent role cards (one per agent with all specifications)
  • Role boundary map showing where each agent's authority starts and stops
  • Interaction matrix showing which agents communicate with which
  • Authority hierarchy diagram
  • Role conflict resolution rules

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.