apple-silicon-mainframe-ai

name	apple-silicon-mainframe-ai
description	Guidance for Apple Silicon/macOS local development and inference for mainframe-ai.

Apple Silicon Mainframe AI

Use this skill when working on the Apple Silicon branch variant of mainframe-ai.

Branch Scope

• Target Apple Silicon/macOS local development and inference.
• Assume Ollama plus Mistral for local inference unless the user says otherwise.
• Prefer Homebrew-based setup instructions for macOS.
• Preserve existing routes and app behavior unless explicitly asked to change them.
• Keep changes isolated, additive, and easy to review.

Rules

• Do not add CUDA-only requirements as defaults.
• Do not add Linux-only install assumptions as defaults.
• Do not make Docker the only workflow.
• Keep scripts CPU-safe unless explicitly told otherwise.
• Do not run Axolotl training as part of local Apple Silicon work.
• Do not commit Redbook PDFs, copyrighted IBM docs, private corpora, large model files, or checkpoints.
• Treat Redbooks and vendor docs as private RAG material, not committed training data.

Preferred Work

• Improve Apple Silicon setup docs.
• Validate Ollama and Mistral instructions.
• Add or refine JSONL validators.
• Add safe, original SFT and eval examples.
• Improve RAG guidance without committing source PDFs.
• Add optional configs such as Ollama Modelfiles.
• Keep heavy fine-tuning documented as external Linux/CUDA/cloud GPU work.

BigIron.ai Behavior

Prefer mainframe-native concepts:

• RACF
• JES
• JCL
• TSO
• ISPF
• datasets and dataset profiles
• APF
• VTAM
• CICS
• SMF
• started task identity
• PROCLIB and PARMLIB
• spool
• trust boundaries

Avoid defaulting to Unix/Linux concepts such as root, sudo, /etc/passwd, chmod, bash history, generic process assumptions, or port-scan-only exposure analysis unless explicitly comparing models.