Design AI/ML feature architectures with LLM integration and RAG pipelines.
npx skills add https://github.com/vibbs/company-os --skill ai-engineering-vibbs
Please help me install this Agent Skill. Skill: ai-engineering Source: https://github.com/vibbs/company-os/tree/main/.claude/skills/ai-engineering Command: npx skills add https://github.com/vibbs/company-os --skill ai-engineering-vibbs
This Skill designs the AI/ML architecture for features involving language models, RAG, or agent systems, ensuring integration, cost-efficiency, and safety.
Use the ai-engineering skill to design the AI architecture for a new RAG-based feature based on the approved PRD.
High-intent search queries and answers about installing and using this skill.
Designing a RAG pipeline architecture involves defining the chunking strategy, selecting an embedding model, structuring the vector database schema, and engineering the prompts for LLM integration.
To optimize LLM integration costs, structure the AI architecture with cost modeling and efficient model selection to ensure cost-efficiency and safety in AI-assisted SaaS development.
The RFC covers the AI-specific section including model selection, integration patterns, prompt engineering, cost modeling, and ethical safeguards to ensure structured AI component design.
Yes, ethical risk mitigation is a core component of the AI architecture design, actively addressing the need for structured ethical safeguards within AI-assisted SaaS development.
Yes, the architecture design explicitly handles features involving language models, RAG pipelines, and agent systems, ensuring proper integration, cost-efficiency, and safety.
az9713Provide prompting patterns, failure modes, and model-specific guidance for LLM workflows.
Exia-thdDesign and optimize end-to-end production AI systems for scalable ML applications.
ZeiZelAutomate end-to-end AI product development with LLM, RAG, and evaluation pipelines.
ruskibeatsSummarize software module interactions for high-level system architecture review.
