AI Agents Architect

SkillDocs & knowledge

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool ...

Available today. Use it from your connected AI after setup.

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Then ask your AI: use the AI Agents Architect skill

What this skill tells your AI

The instructions your AI receives, as published by benjaminastera/antigravity-awesome-skills in skills/ai-agents-architect/SKILL.md and read by ahel’s review.

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

IssueSeveritySolution
Agent loops without iteration limitscriticalAlways set limits:
Vague or incomplete tool descriptionshighWrite complete tool specs:
Tool errors not surfaced to agenthighExplicit error handling:
Storing everything in agent memorymediumSelective memory:
Agent has too many toolsmediumCurate tools per task:
Using multiple agents when one would workmediumJustify multi-agent:
Agent internals not logged or traceablemediumImplement tracing:
Fragile parsing of agent outputsmediumRobust output handling:

Related Skills

Works well with: rag-engineer, prompt-engineer, backend, mcp-builder

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Signals

GitHub stars
265
Forks
26
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
ai-agents-architect-benjaminastera
Source
github.com/benjaminastera/antigravity-awesome-skills