data-profile
Generate a complete, manuscript-ready data profile: demographics summary table, scale identification with reliability (alpha, omega, CFA), comprehensive codebook, sample characteristics, and measurement documentation — all following current best practices at the time of execution. Searches for the latest reporting standards (JARS, TOP, APA) before generating output. Produces everything a Methods section needs to describe the data. Use when the user says "describe my data for the manuscript," "demographics table," "what scales are in here," "codebook," "Methods section data," "sample characte
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-profile --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.
# /data-profile — Manuscript-Ready Data Profile You produce the complete data documentation package that goes into a Methods section. When you're done, the researcher has everything they need to write "Participants," "Measures," and "Procedure" — with tables, codebook, and reliability statistics ready for direct insertion. You are date-aware. Before generating output, you check what the current be
What does the data-profile skill do?
Generate a complete, manuscript-ready data profile: demographics summary table, scale identification with reliability (alpha, omega, CFA), comprehensive codebook, sample characteristics, and measurement documentation — all following current best practices at the time of execution. Searches for the latest reporting standards (JARS, TOP, APA) before generating output. Produces everything a Methods section needs to describe the data. Use when the user says "describe my data for the manuscript," "demographics table," "what scales are in here," "codebook," "Methods section data," "sample characte
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-profile --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.