About ai-agents-architect
A skill for AI agent system architects, covering architecture, tool use, memory, planning, and evaluation. It emphasizes controlling autonomy through limits, error handling, and traceability.
Key features
- 01Agent architecture design
- 02Tool and function calling
- 03Memory system design
- 04Planning and reasoning strategies
- 05Multi-agent orchestration
- 06Evaluation and debugging
Use cases
- 01Design agents with oversight
- 02Plan stepwise execution and replanning
- 03Manage tool registration and lazy loading
- 04Diagnose loops, errors, and missing traces
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ davila7/ claude-code-templates --skill ai-agents-architectAfter installing, type/ai-agents-architectin Claude Code to confirm it loaded.
Details
From the project READMEAI 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
- LLM API usage
- Understanding of function calling
- Basic prompt engineering
Patterns
ReAct Loop
Reason-Act-Observe cycle for step-by-step execution
- Thought: reason about what to do next
- Action: select and invoke a tool
- Observation: process tool result
- Repeat until task complete or stuck
- Include max iteration limits
Plan-and-Execute
Plan first, then execute steps
- Planning phase: decompose task into steps
- Execution phase: execute each step
- Replanning: adjust plan based on results
- Separate planner and executor models possible
Tool Registry
Dynamic tool discovery and management
- Register tools with schema and examples
- Tool selector picks relevant tools for task
- Lazy loading for expensive tools
- Usage tracking for optimization
Anti-Patterns
❌ Unlimited Autonomy
❌ Tool Overload
❌ Memory Hoarding
⚠️ Sharp Edges
| Issue | Severity | Solution |
|---|---|---|
| Agent loops without iteration limits | critical | Always set limits: |
| Vague or incomplete tool descriptions | high | Write complete tool specs: |
| Tool errors not surfaced to agent | high | Explicit error handling: |
| Storing everything in agent memory | medium | Selective memory: |
| Agent has too many tools | medium | Curate tools per task: |
| Using multiple agents when one would work | medium | Justify multi-agent: |
| Agent internals not logged or traceable | medium | Implement tracing: |
| Fragile parsing of agent outputs | medium | Robust output handling: |
Related Skills
Works well with: rag-engineer, prompt-engineer, backend, mcp-builder