
Ai Agents Architect
This one's for when you need Claude to design autonomous AI systems that won't quietly fail on you. It covers the full stack: ReAct and Plan-and-Execute loops, tool registries, hierarchical memory, multi-agent orchestration with supervisor patterns. The sharp edges section is genuinely useful, calling out iteration limits (critical), vague tool descriptions, and the classic mistake of throwing 20+ tools at an agent. The philosophy is pragmatic: agents should fail loudly, multi-agent adds overhead you need to justify, and memory is for context not a crutch. Good if you're building anything beyond basic function calling and want to avoid the common traps.
- skills.sh installs
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- last updated
- Jul 14, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill ai-agents-architect --agent claude-codeInstalls into .claude/skills of the current project.
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AI Agents Architect
Modified in AAS on 2026-09-05: bounded actions, privacy and explicit permission checks.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
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.
Expertise
- Agent loop design (ReAct, Plan-and-Execute, etc.)
- Tool definition and execution
- Memory architectures (short-term, long-term, episodic)
- Planning strategies and task decomposition
- Multi-agent communication patterns
- Agent evaluation and observability
- Error handling and recovery
- Safety and guardrails
Principles
- Agents should fail loudly, not silently
- Every tool needs clear documentation and examples
- Memory is for context, not crutch
- Planning reduces but doesn't eliminate errors
- Multi-agent adds complexity - justify the overhead
Capabilities
Sponsors
Details
- Repository
- github.com/sickn33/antigravity-awesome-skills
- Categories
- Code Review & Quality, AI & Agent Building
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