metodologia-genai-architecture
CommunityScale GenAI systems with robust architecture
AuthorJaviMontano
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured blueprint for designing GenAI architectures, aligning RAG pipelines, LLM orchestration, vector databases, and governance to deliver reliable, scalable AI systems.
Core Features & Use Cases
- RAG design & retrieval orchestration: defines how queries are processed, retrieved, assembled, and validated across heterogeneous data sources.
- Multi-model tiering & routing: specifies model tiers, cost-aware routing, and fallback strategies for production workloads.
- Agent workflow governance: details tool usage, memory patterns, and guardrails to ensure safe, auditable automation.
- Use Case: architect a GenAI system for enterprise knowledge management with dynamic connectors, provenance, and continuous quality monitoring.
Quick Start
Provide a GenAI architecture blueprint for a given domain, including retrieval, orchestration, vector design, and quality guardrails.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: metodologia-genai-architecture Download link: https://github.com/JaviMontano/metodologia-propuesta-agent-public/archive/main.zip#metodologia-genai-architecture Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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