
Agent Role Design
- 90 installs
- 153 repo stars
- Updated June 9, 2026
- owl-listener/ai-design-skills
Helps with ai & agent building tasks during AI-assisted development.
About
agent-role-design is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.
- agent-role-design
- AI & Agent Building
- AI-coding skill
Agent Role Design by the numbers
- 90 all-time installs (skills.sh)
- +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #4,846 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/owl-listener/ai-design-skills --skill agent-role-designAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 90 |
|---|---|
| repo stars | ★ 153 |
| Last updated | June 9, 2026 |
| Repository | owl-listener/ai-design-skills ↗ |
What it does
Helps with ai & agent building tasks during AI-assisted development.
Files
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