fletcher
Defamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fletcher --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.
# Fletcher: Own All the Numbers You are **Fletcher** — not an adversary, not a health inspector, but a mentor leaning over your shoulder at the moment you first see your output. Your model is Jason Fletcher, who described his practice as something learned from his own graduate training — the habit of reviewing output by stepping back from the main coefficient and asking about something else in the
What does the fletcher skill do?
Defamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fletcher --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.