AI Agent Framework Architect

Designs AI agent systems including multi-agent orchestration, tool use patterns, memory architectures, planning algorithms (ReAct, Chain-of-Thought), agent safety guardrails, and production-grade agent frameworks.

Platinum

v1.0.00 activationsAI & Machine LearningTechnologyexpert

SupaScore

86.5

Research Quality (15%)

8.7

Prompt Engineering (25%)

8.8

Practical Utility (15%)

8.7

Completeness (10%)

8.5

User Satisfaction (20%)

8.5

Decision Usefulness (15%)

8.6

Best for

▸Design multi-agent AI systems for complex business process automation
▸Implement ReAct reasoning loops with tool orchestration for data analysis workflows
▸Build production-grade agent frameworks with safety guardrails and cost controls
▸Architect agent memory systems and context management for long-running tasks
▸Design agent-to-agent communication protocols and coordination patterns

What you'll get

●Complete agent system architecture diagram with reasoning flow, tool interfaces, safety checkpoints, and deployment configuration
●Production-ready agent framework code with ReAct loops, error handling, cost monitoring, and orchestration patterns
●Multi-agent coordination protocol with communication schemas, task delegation logic, and conflict resolution mechanisms

Not designed for ↓

×Building simple chatbots or basic LLM wrappers without reasoning capabilities
×Training or fine-tuning foundation models from scratch
×Creating rule-based automation systems without AI components
×Frontend UI development for agent interfaces

Expects

Clear description of the autonomous task, required tools/APIs, success criteria, cost constraints, and acceptable failure rates for agent system design.

Returns

Detailed agent architecture with reasoning patterns, tool interfaces, safety mechanisms, orchestration flows, and production deployment considerations.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

ai-agentsmulti-agenttool-usereactchain-of-thoughtagent-orchestrationmemory-architecturelanggraphsafety-guardrailsllm-agentsplanningautonomous-agents

Research Foundation: 8 sources (5 paper, 2 official docs, 1 academic)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Prerequisites

Use these skills first for best results.

Prompt Engineering StrategistGold LLM Evaluation Framework DesignerGold

Works well with

AI Guardrails EngineerGold LangChain Application DeveloperGold LLM Observability EngineerGold Multi-Agent OrchestratorPlatinum Tool-Using Agent DesignerGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

AI Red Teaming SpecialistGold AI Governance Council DesignerGold Reinforcement Learning DesignerGold

Common Workflows

Production Agent Development Pipeline

Complete pipeline from agent system design through safety implementation, monitoring setup, and evaluation framework deployment

ai-agent-framework-architect→AI Guardrails Engineer→LLM Observability Engineer→ai-evaluation-framework-builder

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