local-ai-systems-studio

Name: local-ai-systems-studio
Author: fifthdactyl811

Transforms local AI ideas or issues into concrete system plans, addressing uncertainties about the local stack. It covers task scoping, model/tool evaluation, deployment choices (MLX, GGUF, Ollama, LM Studio, vLLM), hardware fit, and workflow direction.

0stars

Updated 13 days ago

View on GitHub ↗License: MIT

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#llm #deploy #ai

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Local AI Systems Studio

Use this skill when the user is trying to build, improve, or choose a local AI workflow end to end and the main uncertainty is still about the local stack, deployment path, or tool choice.

This skill combines four jobs into one coherent operating flow:

frame the real problem
evaluate candidate models and tools
choose a practical local deployment path
turn the decision into an execution plan

It should usually be the first stop when the user is still deciding b

[Description truncada. Veja o README completo no GitHub.]

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