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Use when turning a local AI idea, issue, or workflow request into a concrete system plan and the main uncertainty is still about the local stack itself. Covers task scoping, local model and tool evaluation, deployment choices such as MLX, GGUF, Ollama, LM Studio, or vLLM, hardware fit, workflow direction, and issue-to-plan conversion. Trigger this for local LLM selection, tool comparison, deployment tradeoffs, setup planning, and "how should I build this locally" requests. If the stack is already known and the main work is deeper workflow orchestration, use ai-agent-workflow instead.
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Install skill "local-ai-systems-studio" with this command: npx skills add fifthdactyl811/skillsmp-fifthdactyl811-fifthdactyl811-local-ai-systems-studio
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Stop your AI agent from forgetting everything between sessions. Three-tier memory architecture (long-term owner namespace / daily logs / session handoff), cr...
Let your agent shop tickets online with owner approval.
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