metodologia-ai-design-patterns
CommunityCatalog AI design patterns for resilient systems.
Software Engineering#drift-detection#ai-architecture#design-patterns#ai-patterns#explainability#canary-deployment
AuthorJaviMontano
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AI design patterns provide a consolidated catalog and decision framework to guide architects in selecting patterns for maintainable, resilient, and governable AI-enabled systems.
Core Features & Use Cases
- Pattern catalog including Feature Store, Champion-Challenger, Shadow Deployment, Drift Detection, Explainability Wrapper, Canary Deployment, Bulkhead, and traditional software patterns adapted for AI, plus a decision framework and anti-pattern mapping.
- Guidance for maintainability, availability, governance, and risk-aware pattern composition across MVPs to production-grade architectures.
- Use cases spanning real-time inference, multi-model ensembles, drift monitoring, explainability, and safe deployment strategies.
Quick Start
Ask me to generate an AI pattern selection roadmap for a real-time AI system.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: metodologia-ai-design-patterns Download link: https://github.com/JaviMontano/metodologia-propuesta-agent-public/archive/main.zip#metodologia-ai-design-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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