About agent-design
agent-design is a design skill for planning AI agent architecture and workflows, aimed at developers building or reviewing agents. It organizes references for architecture, workflows, templates, and anti-patterns, and emphasizes giving sub-agents only the context they need.
Key features
- 01Compare agent architectures
- 02Guide agent workflow design
- 03Provide production and Claude Code templates
- 04Review common design anti-patterns
- 05Promote limited sub-agent context
Use cases
- 01Choose a single- or multi-agent architecture
- 02Define an agent's workflow
- 03Create a Claude Code agent definition
- 04Review tool access and error handling
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ fusengine/ agents --skill agent-designAfter installing, type/agent-designin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/anti-patterns.mdpatterns.mdtemplates.mdworkflows.mdDetails
From the project READMEIt routes to four references depending on the task: patterns.md for architecture choice (Single Agent, Orchestrator, Pipeline, Network, Supervisor, Hierarchical, Meta-Prompting), workflows.md for implementing APEX/TDD/Explore-Plan-Code/Review/Debug patterns inside an agent, templates.md for the full production frontmatter and Claude Code agent template, and anti-patterns.md for reviewing a design against common mistakes.
Agent Design
Skill for designing high-performance AI agents following 2025 patterns.
References
- patterns.md - Load when: choosing an agent architecture (Single Agent, Agent+Tools, Orchestrator, Pipeline, Network, Supervisor, Hierarchical, Meta-Prompting) or comparing their trade-offs
- workflows.md - Load when: implementing APEX, TDD, Explore-Plan-Code, Code Review, or Debugging workflows for an agent
- templates.md - Load when: writing a full agent definition (production frontmatter + sections) or a Claude Code agent template
- anti-patterns.md - Load when: reviewing an agent design for common mistakes (omniscient agent, implicit instructions, missing error handling)
Fundamental Distinction
Workflows vs Agents
| Type | Control | When to use |
|---|---|---|
| Workflow | Code orchestrates LLM | Predictable tasks, need for control |
| Agent | LLM directs its actions | Flexibility, adaptive decisions |
Golden rule: Start simple, add complexity if necessary.
Minimal Agent Structure
Agent:
identity: Who am I?
capabilities: What can I do?
tools: What tools do I have?
constraints: What are my limits?
workflow: How should I proceed?
For the complete production structure and the Claude Code agent template, see templates.md.
Fresh Eyes Principle
Key 2025 concept: Each sub-agent must have a "fresh" context.
❌ Bad: Pass entire history to each sub-agent
✅ Good: Give only necessary information
Orchestrator:
- Keeps complete history
- Extracts relevant context for each sub-agent
- Synthesizes results
Design Checklist
Before creating an agent
- Is the objective clear?
- Would a simple workflow suffice?
- What tools are needed?
- What guardrails are required?
During design
- Is identity well defined?
- Is workflow explicit?
- Are error cases handled?
- Are examples relevant?
After creation
- Standard case tests?
- Edge case tests?
- Security tests (jailbreak)?
- Acceptable performance?
For anti-patterns to avoid during design, see anti-patterns.md.
Forbidden
- Never create an agent without explicit workflow
- Never give access to all tools without necessity
- Never ignore the principle of least privilege
- Never forget security guardrails