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AI/MLfusengine

agent-design

Design AI agents with recommended patterns and architectures

Stars
13
Source
fusengine/agents
Updated
2026-05-17
Slug
fusengine--agents--agent-design
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/fusengine/agents/HEAD/plugins/prompt-engineer/skills/agent-design/SKILL.md -o .claude/skills/agent-design.md

Drops the SKILL.md into .claude/skills/agent-design.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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