A skill your agent uses when building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables, CFA/SEM path diagrams…

MITAuto-check passedResearch & Science

Install Joap Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills joap-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-Applied-Psychology-Skills/skills/joap-tables-figures .claude/skills/joap-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
joap-tables-figures
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
645 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 Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables, CFA/SEM path diagrams…

  • Works in 6 steps: The Table 1 standard. The first table is… → Show estimates with uncertainty. Path… → Self-contained + APA 7th. Titles, notes,… → …
  • Building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables
  • 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

Joap Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables, CFA/SEM path diagrams, multilevel (HLM) result tables, and meta-analytic forest/funnel plots. Exhibits must carry effect sizes, CIs, and reliabilities and be self-contained. Designs exhibits; it does not run the analysis.

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, covering Diagrams. 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 Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables
  • CFA/SEM path diagrams
  • Multilevel (HLM) result tables
  • Meta-analytic forest/funnel plots

Example prompts

  • “/joap-tables-figures”

Workflow steps

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

  1. The Table 1 standard. The first table is almost always means, SDs, and the full correlation
  2. Show estimates with uncertainty. Path tables and figures report standardized/unstandardized
  3. Self-contained + APA 7th. Titles, notes, Ns at each level, units, what the error bars/CIs are,
  4. Make the model legible. A path diagram should show the hypothesized structure, levels (L1/L2),
  5. Earn the space; defer the rest. Push secondary exhibits (full invariance tables, alternative
  6. Reproducible + accessible. Generated by the shared analysis script so values match; colorblind-

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

Joap Tables Figures loads about 1.7k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 645 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
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). 645 words, ~1,723 tokens.

Download SKILL.mdSave it as .claude/skills/joap-tables-figures/SKILL.md (or your agent's skills folder).
name
joap-tables-figures
description
Use when building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables, CFA/SEM path diagrams, multilevel (HLM) result tables, and meta-analytic forest/funnel plots. Exhibits must carry effect sizes, CIs, and reliabilities and be self-contained. Designs exhibits; it does not run the analysis.

Tables & Figures (joap-tables-figures)

In JAP, exhibits do a lot of the evidentiary work: the means-SD-correlation-reliability table, the path/CFA diagram, the multilevel result table, and (for syntheses) the forest/funnel plot. They follow APA 7th-edition conventions and must be self-contained and consistent with the reported analysis. Good exhibits show effect sizes, confidence intervals, and reliabilities, not just stars.

When to trigger

  • Designing the descriptives/correlation table or the main results exhibit
  • Drawing a CFA/SEM path diagram or a multilevel result table
  • Building a meta-analytic forest/funnel plot
  • A reviewer found an exhibit unclear, non-APA, or inconsistent with the text

Principles

  1. The Table 1 standard. The first table is almost always means, SDs, and the full correlation matrix with reliabilities on the diagonal and level-of-analysis noted. Reviewers scan it for construct distinctness, multicollinearity, and red flags before reading the model.
  2. Show estimates with uncertainty. Path tables and figures report standardized/unstandardized coefficients with confidence intervals (and fit indices for SEM); report indirect effects with their bootstrap/Monte Carlo CIs.
  3. Self-contained + APA 7th. Titles, notes, Ns at each level, units, what the error bars/CIs are, and significance conventions make each exhibit intelligible alone; follow APA table/figure format.
  4. Make the model legible. A path diagram should show the hypothesized structure, levels (L1/L2), standardized estimates, and which paths are significant — not a decorative box-and-arrow sketch.
  5. Earn the space; defer the rest. Push secondary exhibits (full invariance tables, alternative models, manipulation checks) to online supplemental materials; summarize in one sentence.
  6. Reproducible + accessible. Generated by the shared analysis script so values match; colorblind- safe and grayscale-legible.

Worked micro-example — the core exhibits (illustrative)

For the servant-leadership package, two exhibits carry the argument.

Table 1. Means, SDs, correlations, reliabilities (team level, k = 74).
  Diagonal: ω reliabilities (.91, .88, .87); note ICC(1)/ICC(2) for aggregated vars,
  N at L1 and L2, and the significance convention. Self-contained.

Figure 1. Multilevel mediation path model (2-2-2).
  Geometry:  leadership (L2) → safety (L2) → performance (L2), with the L1
             voice mediator shown; standardized estimates + 95% CIs on each path.
  Annotate:  indirect = .13, 95% CI [.05, .23]; direct path ns; fit indices in note.
  Note:      defines levels, estimator, Ns at L1/L2, and that intervals are 95% CIs —
             readable without the main text.
  Source:    rendered from the deposited Mplus/R script so values match exactly.

Exhibit triage — article vs. supplemental materials

ExhibitHomeReason
Descriptives / correlations / reliabilities (Table 1)main textreviewers read it first
Primary path model with CIs + fitmain textthis is the contribution
Measurement-invariance / alternative-model tablessupplementneeded for rigor, not the headline
Manipulation / attention-check resultssupplementcredibility, not the main claim
Robustness / sensitivity gridsupplementsummarized in one main-text sentence
Meta-analytic full coding sheetsupplement (deposited)transparency, not a printed table
Show full SKILL.md (299 more words)Show less

Exhibit-stage reviewer pushback and the venue fix

  • "No reliabilities on the diagonal" → add ω/α to Table 1; reviewers check construct distinctness there.
  • "Path table reports only betas and stars" → add CIs and fit indices; report the indirect-effect CI.
  • "Figure doesn't show levels" → label L1/L2 and the cross-level paths in the diagram.
  • "Table 3 doesn't match the text" → regenerate both from the single deposited script.
  • "Forest plot has no weights / CI scale" → add study weights, CIs, and the pooled estimate with its CI.

Exhibit calibration anchors

  • Table 1 is a credibility signal: a clean, complete descriptives/correlation table with reliabilities reassures reviewers before they reach the model.
  • The path figure should let a hurried editor reconstruct the hypotheses, the levels, and the result from the exhibit alone.
  • Accessibility is part of rigor: colorblind-safe palettes and grayscale-legible encodings so evidence survives printing and reuse.

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. JAP is organizational psychology — multilevel survey/field data and experiments; cluster at the right level and apply mediation/moderation discipline.

  • 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

  • A correlation table without reliabilities or level-of-analysis notes
  • Path tables/figures reporting only coefficients and stars (no CIs, no fit)
  • Path diagrams that hide level of analysis or which paths are significant
  • Exhibits requiring the prose to be intelligible (not self-contained)
  • Exhibit values that don't match the shared analysis script

Output format

【Table 1】means/SD/correlations + reliabilities + level notes? [Y/N]
【Main exhibit】path model/table with estimates + CIs + fit indices? [Y/N]
【APA 7th + self-contained?】[Y/N]
【Article vs supplement】split decided
【Reproducible + accessible?】matches script, grayscale/colorblind-safe? [Y/N]
【Next】joap-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-Applied-Psychology-Skills/skills/joap-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Joap Tables Figures next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Mapping To Snomedmaziyarpanahi/openmed5.5k—~2.1kAutomated safety check: PassApache-2.0
Paper To Codelingzhi227/agent-research-skills390—~793Automated safety check: PassNone
Research Planninglingzhi227/agent-research-skills390—~721Automated safety check: PassNone
New Diagrampedrohcgs/claude-code-my-workflow1.7k—~1.8kAutomated safety check: NotesMIT

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Questions about Joap Tables Figures

What does Joap Tables Figures do?

A skill your agent uses when building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables, CFA/SEM path diagrams…. Joap Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables, CFA/SEM path diagrams, multilevel (HLM) result tables, and meta-analytic forest/funnel plots.

When should I use Joap Tables Figures?

Joap Tables Figures fits situations like: building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation/descriptives tables; CFA/SEM path diagrams; multilevel (HLM) result tables; meta-analytic forest/funnel plots.

How do I install Joap Tables Figures in Claude Code?

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

How do I install Joap Tables Figures in Codex?

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

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

What does Joap Tables Figures need to run?

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

Does Joap 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 Joap 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 Joap Tables Figures use?

Joap 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 Joap 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 Joap Tables Figures?

Skills that share tags, products or a category with Joap Tables Figures: Paper Analyzer (zsyggg/paper-craft-skills, 1.3k stars), Mapping To Snomed (maziyarpanahi/openmed, 5.5k stars), Paper To Code (lingzhi227/agent-research-skills, 390 stars) and Research Planning (lingzhi227/agent-research-skills, 390 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Joap 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.