workflows:work
Execute research implementation plans efficiently while maintaining estimation quality and finishing features
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill workflows-work --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.
# Work Plan Execution Command **Pipeline mode:** This command operates fully autonomously. All decisions are made automatically. Execute a research implementation plan systematically. The focus is on **shipping complete, reproducible research code** by understanding requirements quickly, following existing patterns, and maintaining estimation quality throughout. ## Input Document <input_document>
What does the workflows:work skill do?
Execute research implementation plans efficiently while maintaining estimation quality and finishing features
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill workflows-work --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.