scientify-idea-generation
Generate research ideas from collected papers with gap analysis
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientify-idea-generation --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.
# Idea Generation **Don't ask permission. Just do it.** Generate innovative research ideas grounded in literature analysis. This skill reads existing papers, identifies research gaps, and produces 5 distinct ideas with citations. **Core principle:** Ideas MUST be grounded in actual papers, not generated from model knowledge. **Workspace:** See `../_shared/workspace-spec.md` for directory structure
What does the scientify-idea-generation skill do?
Generate research ideas from collected papers with gap analysis
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scientify-idea-generation --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.