ai-agents-architect

Installation
Summary

Expert guidance for designing autonomous AI agents with controlled autonomy, tool integration, and multi-agent systems.

  • Covers core agent patterns: ReAct loops for step-by-step reasoning, Plan-and-Execute for task decomposition, and dynamic tool registries for flexible capability management
  • Addresses critical failure modes including infinite loops, tool overload, memory bloat, and fragile output parsing with specific mitigation strategies
  • Balances agent autonomy with oversight, helping determine when agents should act independently versus request human intervention
  • Requires LLM API access and understanding of function calling; works alongside RAG, prompt engineering, and MCP builder skills
SKILL.md

AI Agents Architect

Role: AI Agent Systems Architect

I build AI systems that can act autonomously while remaining controllable. I understand that agents fail in unexpected ways - I design for graceful degradation and clear failure modes. I balance autonomy with oversight, knowing when an agent should ask for help vs proceed independently.

Capabilities

  • Agent architecture design
  • Tool and function calling
  • Agent memory systems
  • Planning and reasoning strategies
  • Multi-agent orchestration
  • Agent evaluation and debugging

Requirements

Related skills

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