Defines architectural principles, 5-layer model, and approved technologies for AI platform development.
npx skills add https://github.com/gyeongsu01/ai-arch-dev --skill rules-gyeongsu01
Please help me install this Agent Skill. Skill: Rules Source: https://github.com/gyeongsu01/ai-arch-dev/tree/main/Rules Command: npx skills add https://github.com/gyeongsu01/ai-arch-dev --skill rules-gyeongsu01
This Skill defines the foundational principles, architectural guidelines, and technical stack for building an enterprise AI platform, ensuring consistency, scalability, and maintainability.
Review the 5-layer model and the approved technologies for the Data layer.
High-intent search queries and answers about installing and using this skill.
A 5-layer model for enterprise AI platform architecture separates concerns into Infrastructure, Platform, Data, Service, and Agent layers. This governance approach enforces strict dependency rules to ensure scalability and maintainability across the technology stack.
Standardize technology choices across an AI platform team by defining approved and prohibited technologies for each architectural layer. This governance process enforces efficient resource utilization, maintains coding conventions, and prevents vendor lock-in.
Yes, you can use k3d and Ollama for container-first AI infrastructure. This architecture governs k3d for Kubernetes provisioning and Ollama for local LLM deployment, enforcing IaC and container-first design principles across the platform layer.
Coding conventions for FastAPI and LangGraph backend services mandate Python development standards ensuring code quality and readability. These backend guidelines align with the Service and Agent architectural layers to enforce consistency across the enterprise platform.
Enforce observability and IaC in an enterprise AI tech stack by applying strict architectural principles across infrastructure and platform layers. This requires YAML/Helm coding conventions and container-first design to maintain operational consistency.
The AI platform prohibits certain technologies at the data layer to prevent vendor lock-in and promote efficient resource utilization. Governing technology standardization ensures that tools like ChromaDB integrate cleanly without violating strict architectural boundaries.
89jobrienDesign and deploy multi-cloud infrastructure with Terraform, CloudFormation, or Pulumi.
kumaran-isEnforce Python coding standards for LangChain, LangGraph, and FastAPI agentic services.
QredenceIngest markdown files into ChromaDB for semantic procedural memory retrieval.
zzafergokGuide architecture ownership and decision-making for production-grade web platforms.
