execute-plan
Use when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the paper. Orchestrates task execution with replication-driven verification and two-stage review at phase boundaries.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill execute-plan --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.
# Execute Plan ## Overview This skill executes a research plan phase by phase. It starts by invoking `academic-baseline` as the standing policy layer, dispatches subagents for independent tasks, invokes `replication-driven-research` as a guardrail, and runs two-stage review at phase boundaries: correctness first, reproducibility second. It must honor each task's declared `Skills involved` field du
What does the execute-plan skill do?
Use when a research implementation plan exists in docs/superpapers/plans/ and the user is ready to execute it — collecting data, running analysis, producing outputs, writing the paper. Orchestrates task execution with replication-driven verification and two-stage review at phase boundaries.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill execute-plan --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.