cogpsych-tables-figures
Use when building tables and figures for a Cognitive Psychology (Elsevier) manuscript. Exhibits here carry the experiment-to-model-fit argument — they should overlay model predictions on data, show distributions and uncertainty, and report parameter estimates, not just bars of means. Designs exhibits; it does not run the analysis or fit the model.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-tables-figures --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.
# Tables & Figures (cogpsych-tables-figures) In Cognitive Psychology the central exhibit usually shows **the model fitting the data** — observed patterns with the model's predictions overlaid — because the contribution is the model, not the bare effect. Exhibits should reveal **distributions and uncertainty**, report **parameter estimates with intervals**, and let a reader judge **model comparison** at a glance. Bars of means hide exactly what this venue cares about. ## When to trigger - Designing the main model-fit figure or a model-comparison table - Deciding what goes in the article vs. the supplementary material / appendix - A reviewer found an exhibit unclear, or said "show the fit, not just the means" - Visualizing distributions, individual data, model predictions, and uncertainty ## Principles 1. **Overlay model on data.** The headline figure shows observed data (with uncertainty) and the **model's predicted curve/points superimposed**, ideally for the rival model too, so the reader sees which account tracks the data. This is the venue's signature exhibit. 2. **Show the data and uncertainty.** Prefer distributions/individual points with means and **confidence/credible interv
- When to trigger
- Principles
- Worked micro-example — the main model-fit figure (illustrative)
- Exhibit triage — article vs. supplementary material
- Exhibit-stage reviewer pushback and the venue fix
- Exhibit calibration anchors
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the cogpsych-tables-figures skill do?
Use when building tables and figures for a Cognitive Psychology (Elsevier) manuscript. Exhibits here carry the experiment-to-model-fit argument — they should overlay model predictions on data, show distributions and uncertainty, and report parameter estimates, not just bars of means. Designs exhibits; it does not run the analysis or fit the model.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-tables-figures --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/Awesome-Journal-Skills, a repository with 909 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.