Agent skill

Jedpsych Tables Figures

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

A skill your agent uses when building tables and figures for a Journal of Educational Psychology manuscript.

MITAuto-check passedResearch & Science

Install Jedpsych Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jedpsych-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/Journal-of-Educational-Psychology-Skills/skills/jedpsych-tables-figures .claude/skills/jedpsych-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
jedpsych-tables-figures
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
673 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 Journal of Educational Psychology manuscript.

  • Works in 5 steps: Show model results, effect sizes, and… → Self-contained + APA 7th. Titles, notes,… → Make the effect interpretable. Where… → …
  • Building tables and figures for a Journal of Educational Psychology 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

Jedpsych Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Journal of Educational Psychology manuscript. JEP uses APA 7th-edition style and expects exhibits that report multilevel/SEM model results, effect sizes with uncertainty, and growth trajectories clearly, and that are anonymized for masked review. Designs exhibits; it does not run the analysis.

Its SKILL.md is about 1.8k 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 Journal of Educational Psychology manuscript

Example prompts

  • “/jedpsych-tables-figures”

Workflow steps

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

  1. Show model results, effect sizes, and uncertainty. Tables report estimates with standard errors
  2. Self-contained + APA 7th. Titles, notes, variable definitions, Ns at each level, and units make
  3. Make the effect interpretable. Where possible, annotate the educational meaning (months of
  4. Earn the space. Push secondary exhibits (full covariance matrices, every robustness model,
  5. Anonymized + reproducible + accessible. No identifying site/school names in exhibits or notes

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

Jedpsych Tables Figures loads about 1.8k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 673 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 673 words, ~1,781 tokens.

Download SKILL.mdSave it as .claude/skills/jedpsych-tables-figures/SKILL.md (or your agent's skills folder).
name
jedpsych-tables-figures
description
Use when building tables and figures for a Journal of Educational Psychology manuscript. JEP uses APA 7th-edition style and expects exhibits that report multilevel/SEM model results, effect sizes with uncertainty, and growth trajectories clearly, and that are anonymized for masked review. Designs exhibits; it does not run the analysis.

Tables & Figures (jedpsych-tables-figures)

In the Journal of Educational Psychology, exhibits must carry the quantitative argument for nested, model-based results: multilevel/SEM estimates, effect sizes with confidence intervals, mediation paths, and growth trajectories. They follow APA 7th-edition conventions and — because review is masked — must not reveal author identity (school names, project sites, identifying acknowledgments). A good JEP figure makes the learning effect, its uncertainty, and its mechanism legible at a glance.

When to trigger

  • Designing the main results table/figure (model results, mediation, growth)
  • Deciding what goes in the article vs. online supplemental material
  • A reviewer found an exhibit unclear, non-APA, or identity-revealing
  • Visualizing trajectories, variance components, and uncertainty (not just means)

Principles

  1. Show model results, effect sizes, and uncertainty. Tables report estimates with standard errors and confidence intervals, variance components/ICC for multilevel models, and fit indices for SEM — not just stars. Figures display trajectories or effects with CIs, not bare bar-of-means.
  2. Self-contained + APA 7th. Titles, notes, variable definitions, Ns at each level, and units make each exhibit intelligible alone; follow APA 7th table/figure formatting (including a clear note row).
  3. Make the effect interpretable. Where possible, annotate the educational meaning (months of progress, percentile shift, percent variance explained) so the magnitude is legible to readers and policy audiences.
  4. Earn the space. Push secondary exhibits (full covariance matrices, every robustness model, measurement details) to online supplemental material; keep the article focused on the contribution.
  5. Anonymized + reproducible + accessible. No identifying site/school names in exhibits or notes (masked review); values generated by the shared analysis script; colorblind-safe and grayscale-legible.

Worked micro-example — the main results exhibits (illustrative)

For the cluster-randomized reading trial, two exhibits carry the argument the prose summarizes.

Table 1. Two-level model of transfer comprehension.
  Rows:    intercept, treatment (classroom level), pretest covariate,
           variance components (student, classroom), ICC.
  Columns: estimate, SE, 95% CI, standardized effect (g).
  Note:    defines levels and Ns (48 classrooms, 1,089 students), the
           outcome metric, and that intervals are 95% CIs; no site names.

Figure 1. Adjusted transfer-comprehension by condition, with mediation.
  Geometry: classroom means + 95% CI (dot/interval), NOT a bar of means;
            inset path diagram for the monitoring mediator (a, b, indirect).
  Annotation: g = 0.23, 95% CI [0.06, 0.40]; ~2.0 months of progress.
  Source:   rendered by the deposited R script so values match Table 1.

Exhibit triage — article vs. online supplemental material

ExhibitHomeReason
Primary multilevel model + effect size with CImain textthis is the contribution
Mediation/moderation path resultmain textthe mechanism is theory-central at JEP
Full SEM covariance / measurement modelsupplementneeded for rigor, not the headline
Every robustness specificationsupplementsummarize in one main-text sentence
Item-level measure detail / fidelity tablessupplementcredibility, not the main claim

Exhibit-stage reviewer pushback and the venue fix

  • "Table reports only stars" → add SE, CI, and a standardized effect column; this is the post-reform expectation.
  • "Bar chart hides the spread" → switch to dot/interval with 95% CIs; show cluster means where N allows.
  • "No ICC / variance components shown" → report them; reviewers check that nesting was modeled.
  • "Figure names the school district" → strip identifying labels for masked review.
  • "Figure values don't match Table 1" → regenerate both from the single deposited script.
Show full SKILL.md (251 more words)Show less

Exhibit calibration anchors

  • Because JEP results are model-based, the table is where the nesting (ICC, variance components) and the effect size with its CI actually live; design it to stand alone if an editor reads only the exhibits.
  • A growth figure should show trajectories with uncertainty bands, not just endpoint means; a mediation figure should make the indirect path and its CI visible.
  • Masked review is easy to break in exhibits — site names, IRB identifiers, or a recognizable program logo in a figure can de-anonymize the paper; scrub them.
  • Accessibility is part of credibility: colorblind-safe palettes and grayscale-legible encodings.

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. JEdPsych mixes field/lab experiments and observational school data; multilevel (student-in-class-in-school) inference and many-outcome corrections matter most.

  • 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 nesting
  • Tables reporting only stars/p-values with no effect size, SE, or CI
  • Omitting ICC / variance components for a multilevel result
  • Identity-revealing labels (school, district, site) during masked review
  • Exhibit values that don't match the shared analysis script

Output format

【Main exhibit】what it shows + why a table/figure
【Model detail】effect size + CI + variance components/ICC (or SEM fit)? [Y/N]
【Educational meaning】magnitude annotated (months/percentile/variance)? [Y/N]
【APA 7th + self-contained + anonymized?】[Y/N]
【Article vs supplement】split decided
【Reproducible + accessible?】matches script, grayscale/colorblind-safe? [Y/N]
【Next】jedpsych-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 Journal-of-Educational-Psychology-Skills/skills/jedpsych-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jedpsych Tables Figures

What does Jedpsych Tables Figures do?

A skill your agent uses when building tables and figures for a Journal of Educational Psychology manuscript. Jedpsych Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Journal of Educational Psychology manuscript.

When should I use Jedpsych Tables Figures?

Jedpsych Tables Figures fits situations like: building tables and figures for a Journal of Educational Psychology manuscript.

How do I install Jedpsych Tables Figures in Claude Code?

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

How do I install Jedpsych Tables Figures in Codex?

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

Can I use Jedpsych 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 jedpsych-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/jedpsych-tables-figures, .gemini/skills/jedpsych-tables-figures, .github/skills/jedpsych-tables-figures and .opencode/skills/jedpsych-tables-figures in your project.

What does Jedpsych Tables Figures need to run?

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

Does Jedpsych 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 Jedpsych 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 Jedpsych Tables Figures use?

Jedpsych 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 Jedpsych Tables Figures use?

About 1.8k tokens (SKILL.md is roughly 7.1k 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 Jedpsych Tables Figures?

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Who maintains Jedpsych 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.