nature-machine-intelligence
Use when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nature-machine-intelligence --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Nature Machine Intelligence (nature-machine-intelligence) ## Journal positioning Nature Machine Intelligence is a Springer Nature journal publishing research across machine learning, artificial intelligence, robotics, and their intersections with other sciences and society. It occupies the Nature-family tier, so the bar is not a strong ML method alone but a result with conceptual significance or real-world relevance that will interest researchers across AI and the sciences more broadly. The journal explicitly attends to societal impact, ethics, fairness, and the responsible development of AI — these are not boxes to tick but genuine editorial concerns. Papers that demonstrate a compelling application of AI to a scientific or societal problem alongside methodological rigor are a strong fit. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the Springer Nature site and the submission system. ## When to trigger - The author names Nature Machine Intelligence or Nat Mach Intell as the target venue. - An ML or AI paper has strong conceptual no
- Journal positioning
- When to trigger
- Scope & topic fit
- Method & evidence bar
- Structure & house style
- Official-submission checklist
- Pre-submission self-check
- Common desk-reject triggers
- Re-routing decision
- Output format
What does the nature-machine-intelligence skill do?
Use when targeting Nature Machine Intelligence (Nat Mach Intell) or deciding whether an AI, ML, or robotics manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nature-machine-intelligence --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 984 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.