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metodologia-genai-architecture - Design architecture for generative AI systems

Designs GenAI architectures covering RAG, LLM orchestration, agent workflows, vector databases, knowledge connectors, and quality assurance.

Tags

Updated: 2026-10-05

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Design RAG pipelines
  • Orchestrate multi-model routing
  • Architect agent workflows
  • Select vector databases
  • Design embedding pipelines
  • Integrate knowledge connectors
  • Plan GenAI quality assurance
  • Detect codebase context

Inputs

  • System or project name
  • Operating mode
  • Output format
  • Architecture variant
  • Codebase files
  • Reference materials

Outputs

  • GenAI architecture documentation
  • RAG design
  • LLM orchestration design
  • Agent workflow design
  • Vector database design
  • Knowledge connector design
  • Quality assurance plan

Requirements

  • Opus model support
  • Read and write access
  • Edit access
  • File search access
  • Text search access
  • Shell command access

Source

  • Spec: SKILL.md

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generative AI
RAG
LLM orchestration
agent architecture
vector databases
embeddings
knowledge connectors
quality assurance
Design RAG pipelines
Orchestrate multi-model routing
Architect agent workflows
Select vector databases
System or project name
Operating mode
Output format
GenAI architecture documentation
RAG design
LLM orchestration design