llmfit-advisor
Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
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 alexsjones-llmfit-llmfit-advisor
Repository
Skill path: skills/llmfit-advisor
Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: AlexsJones.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install llmfit-advisor into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/AlexsJones/llmfit before adding llmfit-advisor to shared team environments
- Use llmfit-advisor for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.