llm-architect
Provides structured guidance for designing and deploying LLM systems, covering architecture, fine-tuning, RAG, and serving optimization. Includes concrete checklists for latency, throughput, and safety. Integrates with transformers, LangChain, and vLLM tools for implementation.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install zenobi-us-dotfiles-llm-architect
Repository
Skill path: ai/files/skills/experts/data-ai/llm-architect
Provides structured guidance for designing and deploying LLM systems, covering architecture, fine-tuning, RAG, and serving optimization. Includes concrete checklists for latency, throughput, and safety. Integrates with transformers, LangChain, and vLLM tools for implementation.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, DevOps.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: zenobi-us.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install llm-architect into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/zenobi-us/dotfiles before adding llm-architect to shared team environments
- Use llm-architect for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.