hypothesis-building
Build falsifiable causal hypotheses: DAGs, FPCI, equivalence testing.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill hypothesis-building --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.
# Causal Hypothesis Architect ## Instructions ### 1. The Identification Challenge - **Verify FPCI Resolution:** Confirm that random assignment (or the identification strategy) solves the Fundamental Problem of Causal Inference for this design (Druckman 2022). - **Four Prerequisites for Experiments:** Before proceeding, verify that the design meets the four prerequisites for causal inference from e
What does the hypothesis-building skill do?
Build falsifiable causal hypotheses: DAGs, FPCI, equivalence testing.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill hypothesis-building --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.