diverge
Before implementing, generate 3-5 conceptually distinct approaches labeled by creativity dimension (Novel, Surprising, Diverse, Conventional), then hold for selection. Brainstorm-then-select to resist defaulting to the most obvious solution.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill diverge --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.
# Diverge Interrupt the default path of jumping to the most probable — and least creative — solution. ## Heritage and scope This is an original Open Science Skills workflow grounded in **Creative Preference Optimization** (Ismayilzada et al., 2025; background in [`reference/creative-preference-optimization.md`](reference/creative-preference-optimization.md)). Standard preference alignment (RLHF/DP
What does the diverge skill do?
Before implementing, generate 3-5 conceptually distinct approaches labeled by creativity dimension (Novel, Surprising, Diverse, Conventional), then hold for selection. Brainstorm-then-select to resist defaulting to the most obvious solution.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill diverge --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/Auto-Empirical-Research-Skills, a repository with 3,244 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.