A skill your agent uses when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and…

MITAuto-check passedData & Analytics

Install Hrm Tables Figures

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hrm-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/Human-Resource-Management-Skills/skills/hrm-tables-figures .claude/skills/hrm-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
hrm-tables-figures
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
647 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and…

  • Exhibits are the bottleneck for a Human Resource Management (Wiley HRM) manuscript — the descriptives/correlation table
  • SKILL.md covers When to trigger, The exhibits HRM expects (and…, Make exhibits carry the… and Formatting discipline, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The model build-up

What it does

Hrm Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and simple-slope plots, the theoretical-model figure, and (for qualitative work) the data-structure figure. Builds reader-ready exhibits; it does not run the analysis (hrm-data-analysis).

Its SKILL.md is about 1.5k 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 Data & Analytics, covering Recruiting and HR and Data analysis. 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

  • Exhibits are the bottleneck for a Human Resource Management (Wiley HRM) manuscript — the descriptives/correlation table
  • The model build-up
  • Interaction and simple-slope plots
  • The theoretical-model figure

Example prompts

  • “/hrm-tables-figures”

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

Hrm Tables Figures loads about 1.5k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 647 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
~1.5k

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). 647 words, ~1,535 tokens.

Download SKILL.mdSave it as .claude/skills/hrm-tables-figures/SKILL.md (or your agent's skills folder).
name
hrm-tables-figures
description
Use when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and simple-slope plots, the theoretical-model figure, and (for qualitative work) the data-structure figure. Builds reader-ready exhibits; it does not run the analysis (hrm-data-analysis).

Tables & Figures (hrm-tables-figures)

When to trigger

  • The correlation table is missing means, SDs, reliabilities, or has inconsistent decimals
  • A significant interaction is reported in text but never plotted
  • The regression/HLM tables dump every coefficient with no model build-up logic
  • The theoretical model in the intro does not match the hypotheses being tested
  • A qualitative paper has rich quotes but no data-structure figure

The exhibits HRM expects (and the conventions referees enforce)

HRM follows management/applied-psychology table norms (APA-aligned house style). The standard set:

ExhibitMust contain
Table 1 — descriptives & correlationsMeans, SDs, full correlation matrix, scale reliabilities (α) on the diagonal; significance noted; level-appropriate (within/between if multilevel)
Table 2+ — regression / HLM / SEMNested model build-up (controls → main effects → interactions); unstandardized and/or standardized coefficients with SEs; model fit (R², ΔR², pseudo-R², CFI/RMSEA for SEM); df and N at each level
Interaction plotSimple slopes at ±1 SD, axes labeled in construct units, the moderator legend clear, region of significance where relevant
Theoretical-model figureBoxes and arrows mapping one-to-one to the numbered hypotheses
Mediation figurePath coefficients on the diagram; indirect effect + bootstrap CI reported
Qualitative data-structure figureFirst-order codes → second-order themes → aggregate dimensions (Gioia-style)

Make exhibits carry the argument, not just the numbers

  • The correlation table is the credibility table. Reviewers read it first; reliabilities below ~.70, a correlation near 1.0 between "distinct" constructs (discriminant-validity red flag), or a mean at a scale ceiling all undermine the paper before the hypotheses are tested.
  • Build models, don't dump them. A nested progression shows the incremental variance the focal effect explains over controls — that ΔR²/Δ-2LL is the contribution made visible.
  • Always plot a supported interaction. A coefficient is not interpretable as "the effect strengthens"; the plot is. Label axes in real construct units, not z-scores, so an HR reader can see the practical magnitude.
  • The model figure is a contract. Every arrow must be a hypothesis and every hypothesis an arrow; mismatches read as sloppiness or HARKing.
  • Translate magnitude for practice. Where possible, annotate the practically meaningful difference (e.g., the predicted productivity gap between low- and high-HPWS units) so the exhibit serves HRM's practice mandate.

Formatting discipline

  • Self-contained titles and notes: a reader should understand each exhibit without the text (N, level, what significance markers mean, abbreviations defined).
  • Consistent decimals (typically two) and consistent variable names across all tables and the text.
  • Report effect sizes and CIs, not only stars; do not let asterisks substitute for interpretation.
  • Place exhibits per Wiley/ScholarOne submission conventions; keep figures legible in greyscale.
Show full SKILL.md (233 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Generate exhibits from the fitted result, not by retyping numbers (the usual source of body-vs-appendix drift). Full map: execution-with-mcp. HRM is empirical HR — multilevel survey data, field experiments, and panels; multilevel 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.

Checklist

  • Table 1 has M, SD, correlations, and reliabilities on the diagonal
  • Regression/HLM/SEM tables show a nested model build-up with fit and ΔR²/Δfit
  • Every supported interaction is plotted with labeled, construct-unit axes
  • The theoretical-model figure maps one-to-one to the hypotheses
  • Mediation diagrams show paths and indirect-effect bootstrap CIs
  • Qualitative papers include a first-order → themes → dimensions data structure
  • Titles/notes are self-contained; decimals and variable names consistent
  • Effect sizes / CIs reported; practitioner magnitude annotated where possible

Anti-patterns

  • Missing reliabilities: a correlation table with no α on the diagonal
  • Coefficient dump: one mega-table with no model build-up
  • Unplotted interaction: a claimed moderation never shown graphically
  • Figure–hypothesis mismatch: arrows that don't correspond to numbered hypotheses
  • Star-only reporting: asterisks instead of effect sizes and CIs
  • Z-score axes: interaction plots no HR reader can map to practice
  • Orphan exhibits: tables that cannot be read without the surrounding text

Output format

text
【Journal】Human Resource Management (Wiley "HRM")
【Skill】hrm-tables-figures
【Table 1】M/SD/correlations/reliabilities present? [Y/N]
【Model tables】nested build-up + fit + ΔR²/Δfit? [Y/N]
【Interactions】all supported ones plotted, construct-unit axes? [Y/N]
【Model figure】one-to-one with hypotheses? [Y/N]
【Mediation/qual】path CIs / data-structure figure present? [Y/N]
【Magnitude】practitioner-meaningful annotation added? [Y/N]
【Next skill】hrm-writing-style

© 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 Human-Resource-Management-Skills/skills/hrm-tables-figures of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Hrm Tables Figures

What does Hrm Tables Figures do?

A skill your agent uses when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and…. Hrm Tables Figures is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and simple-slope plots, the theoretical-model figure, and (for qualitative work) the data-structure figure.

When should I use Hrm Tables Figures?

Hrm Tables Figures fits situations like: exhibits are the bottleneck for a Human Resource Management (Wiley HRM) manuscript — the descriptives/correlation table; the model build-up; interaction and simple-slope plots; the theoretical-model figure.

How do I install Hrm Tables Figures in Claude Code?

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

How do I install Hrm Tables Figures in Codex?

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

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

What does Hrm Tables Figures need to run?

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

Does Hrm 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 Hrm 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 Hrm Tables Figures use?

Hrm 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 Hrm Tables Figures use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 Hrm Tables Figures?

Skills that share tags, products or a category with Hrm Tables Figures: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and Diagnostic Study Quality Assessment Quadas (aipoch/medical-research-skills, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hrm 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.