How to use MiniMax M3's 1M-token MSA context productively: what to load vs. compress, when to retrieve vs. ingest, how to keep skills shallow in the always-on prompt and deep in skills, and how to plan retention across iterations. Load when the task might exceed ~200K tokens, when the user asks to "keep all of this in mind", or when you are tempted to start a fresh session to "free context".
$npx -y skills add madebyaris/advance-minimax-m3-cursor-rules --skill minimax-m3-long-contextInstalls into the current project.
Run `npx skills use "https://github.com/madebyaris/advance-minimax-m3-cursor-rules" --skill "madebyaris/advance-minimax-m3-cursor-rules/minimax-m3-long-context"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/madebyaris/advance-minimax-m3-cursor-rules" that are relevant to the current task. Run `npx skills add "https://github.com/madebyaris/advance-minimax-m3-cursor-rules"` and select the relevant skills, then follow their instructions.