slfg
Full autonomous research workflow using swarm mode for parallel execution
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg --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.
Swarm-enabled LFG. Run these steps in order, parallelizing where indicated. Do not stop between steps — complete every step through to the end. ## Sequential Phase 1. `/workflows:brainstorm $ARGUMENTS` **Gate:** must produce a file in `docs/brainstorms/` before proceeding. 2. `/workflows:plan` **Gate:** must produce a file in `docs/plans/` before proceeding. 3. `/workflows:work` — **Use swarm mode
What does the slfg skill do?
Full autonomous research workflow using swarm mode for parallel execution
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill slfg --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.