Agent skill · Data & Analytics

hrm-tables-figures

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).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-tables-figures --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Human-Resource-Management-Skills/skills/hrm-tables-figures/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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: | Exhibit | Must contain | |---------|--------------| | **Table 1 — descriptives & correlations** | Means, SDs, full correlation matrix, **scale reliabilities (α) on the diagonal**; significance noted; level-appropriate (within/between if multilevel) | | **Table 2+ — regression / HLM / SEM** | Nested **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 plot** | Simple slopes at ±1 SD, axes labeled in construct units, the moderato

What's inside
Steps it walks through
  1. When to trigger
  2. The exhibits HRM expects (and the conventions referees enforce)
  3. Make exhibits carry the argument, not just the numbers
  4. Formatting discipline
  5. Execution bridge (StatsPAI / Stata MCP)
  6. Checklist
  7. Anti-patterns
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the hrm-tables-figures skill do?

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).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hrm-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.

Keep going