idea-discovery
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill idea-discovery --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.
# Workflow 1: Idea Discovery Pipeline Orchestrate a complete idea discovery workflow for: **$ARGUMENTS** ## Overview This skill chains sub-skills into a single automated pipeline: ``` /research-lit → /idea-creator → /novelty-check → /research-review → /research-refine-pipeline (survey) (brainstorm) (verify novel) (critical feedback) (refine method + plan experiments) ``` Each phase builds on the p
What does the idea-discovery skill do?
Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill idea-discovery --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.