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Agent skill

Cogpsych Tables Figures

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when building tables and figures for a Cognitive Psychology (Elsevier) manuscript.

MITAuto-check passedResearch & Science

Install Cogpsych Tables Figures

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-tables-figures -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cogpsych-tables-figures --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Cognitive-Psychology-Skills/skills/cogpsych-tables-figures .claude/skills/cogpsych-tables-figures && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cogpsych-tables-figures
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
655 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when building tables and figures for a Cognitive Psychology (Elsevier) manuscript.

  • Works in 5 steps: Overlay model on data. The headline… → Show the data and uncertainty. Prefer… → Make model comparison legible. A table… → …
  • Building tables and figures for a Cognitive Psychology (Elsevier) manuscript
  • SKILL.md covers When to trigger, Principles, Worked micro-example — the… and Exhibit triage — article vs.…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cogpsych Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Building tables and figures for a Cognitive Psychology (Elsevier) manuscript

Example prompts

  • “/cogpsych-tables-figures”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Overlay model on data. The headline figure shows observed data (with uncertainty) and the
  2. Show the data and uncertainty. Prefer distributions/individual points with means and
  3. Make model comparison legible. A table reports each model's fit (AIC/BIC/BF or cross-validated
  4. Self-contained. Titles, notes, axes, Ns, trial counts, units, and "intervals are 95% CIs/CrIs"
  5. Reproducible + accessible. Generated by the deposited model/analysis code so values match;

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cogpsych Tables Figures loads about 1.7k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 655 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 655 words, ~1,719 tokens.

Download SKILL.mdSave it as .claude/skills/cogpsych-tables-figures/SKILL.md (or your agent's skills folder).
name
cogpsych-tables-figures
description
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.

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 intervals over bar-of-means plots; for model parameters, plot estimates with intervals.
  3. Make model comparison legible. A table reports each model's fit (AIC/BIC/BF or cross-validated score), free-parameter count, and the winning criterion — so the comparison is checkable, not asserted.
  4. Self-contained. Titles, notes, axes, Ns, trial counts, units, and "intervals are 95% CIs/CrIs" make each exhibit intelligible alone, following the journal's (Elsevier/APA-style) conventions.
  5. Reproducible + accessible. Generated by the deposited model/analysis code so values match; colorblind-safe and grayscale-legible.

Worked micro-example — the main model-fit figure (illustrative)

For the recognition-memory program, the primary figure must show the fit, not the means.

Figure 1. Observed and model-predicted z-ROCs, Experiments 1-3.
  Geometry:  observed confidence-ROC points with 95% CIs, UVSD predicted
             curve overlaid (solid) and DPSD predicted curve overlaid
             (dashed) — the reader sees UVSD track the linear z-ROC.
  Panels:    one per experiment; shared axes for comparison.
  Annotation: z-ROC slope 0.78 [0.72, 0.84]; dBIC = 14 favoring UVSD.
  Note:      defines the ROC metric, Ns, trials/bin, exclusion count, and
             that bands are 95% intervals - readable without the main text.
  Source:    rendered by the deposited model-fitting script so values match.
Table 1. Model comparison: free parameters, -2logL, AIC, BIC, BF, by model.

Exhibit triage — article vs. supplementary material

ExhibitHomeReason
Observed data + model fit (headline)main textthis is the contribution
Model-comparison table (criteria + k)main textthe comparison must be checkable
Parameter-recovery / model-recovery plotssupplementneeded for credibility, not the headline
Full per-subject fitssupplementcosts space, secondary to the group story
Stimulus lists / counterbalancing tablessupplement / materials depositprovenance, not narrative

Exhibit-stage reviewer pushback and the venue fix

  • "Bar chart hides the spread" → switch to distribution/points + intervals; show individual data where N allows.
  • "Show the fit, not the means" → overlay model predictions (and the rival's) on the observed data.
  • "I can't compare the models from this" → add the model-comparison table with criteria and parameter counts.
  • "Figure values don't match Table 1" → regenerate both from the single deposited model script.
Show full SKILL.md (262 more words)Show less

Exhibit calibration anchors

  • The figure that wins a Cognitive Psychology paper is the one where the reader sees one model track the data and the rival miss; design for that, not for a decorative bar chart.
  • Show parameter estimates with intervals so the model's psychological claims are inspectable, and put recovery plots in the supplement so the comparison is trustworthy.
  • Make the model-comparison table do real work: free-parameter counts and a penalized criterion guard against the "better fit = overfitting" objection before a reviewer raises it.
  • Accessibility is part of credibility: colorblind-safe palettes and grayscale-legible line styles so the model-vs-data distinction survives printing.

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-supplement drift). Full map: execution-with-mcp. Cognitive Psychology is experimental — within-subject designs and mixed models dominate; report the model, the effect size, and multiple-comparison control.

  • Tables: etable (multi-model columns) or did_summary_to_latex straight from the result_id.
  • Figures: plot_from_result / enhanced_event_study_plot / event_study_table — axis units and the SE/clustering note baked in.
  • Every note names the estimator + clustering and states the effect size in interpretable units.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Anti-patterns

  • Bar plots of means that hide distribution, uncertainty, and the fit
  • A results figure with no model overlay in a model-driven paper
  • Asserting a model "fits best" with no comparison table (criteria + parameter counts)
  • Exhibits that need the prose to be intelligible (not self-contained)
  • Figure/table values that don't match the deposited model code

Output format

【Main exhibit】observed data + model fit (and rival)? [Y/N]
【Shows distribution + uncertainty + parameter intervals?】[Y/N]
【Model-comparison table】criteria + free-parameter counts? [Y/N]
【Self-contained + accessible?】notes, Ns, trials, grayscale/colorblind-safe? [Y/N]
【Reproducible?】matches deposited model script? [Y/N]
【Next】cogpsych-writing-style

Supplementary resources

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Cognitive-Psychology-Skills/skills/cogpsych-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Cogpsych Tables Figures

What does Cogpsych Tables Figures do?

A skill your agent uses when building tables and figures for a Cognitive Psychology (Elsevier) manuscript. Cogpsych Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Cognitive Psychology (Elsevier) manuscript.

When should I use Cogpsych Tables Figures?

Cogpsych Tables Figures fits situations like: building tables and figures for a Cognitive Psychology (Elsevier) manuscript.

How do I install Cogpsych Tables Figures in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-tables-figures -a claude-code`. Or copy the skill folder (Cognitive-Psychology-Skills/skills/cogpsych-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cogpsych-tables-figures in your project. Claude Code loads it when a task matches its description.

How do I install Cogpsych Tables Figures in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-tables-figures -a codex`. Or copy the skill folder (Cognitive-Psychology-Skills/skills/cogpsych-tables-figures in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cogpsych-tables-figures in your project. Codex loads it when a task matches its description.

Can I use Cogpsych Tables Figures in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cogpsych-tables-figures -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cogpsych-tables-figures, .gemini/skills/cogpsych-tables-figures, .github/skills/cogpsych-tables-figures and .opencode/skills/cogpsych-tables-figures in your project.

What does Cogpsych Tables Figures need to run?

SKILL.md names no scripts, command-line tools or credentials: Cogpsych Tables Figures is instructions for the agent only.

Does Cogpsych Tables Figures access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cogpsych Tables Figures safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cogpsych Tables Figures use?

Cogpsych Tables Figures is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cogpsych Tables Figures use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cogpsych Tables Figures?

Skills that share tags, products or a category with Cogpsych Tables Figures: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cogpsych Tables Figures?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.