Agent skill · Data & Analytics

hrm-theory-development

Use when the theoretical argument and hypotheses are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — building an HRM/OB mechanism (AMO, HR-system strength, signaling, social exchange) and deriving testable predictions a priori. Builds the theory; 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-theory-development --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-theory-development/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

# Theory Development (hrm-theory-development) ## When to trigger - Hypotheses read as bald predictions ("HPWS is positively related to performance") with no mechanism - You have results and are tempted to write hypotheses around them (HARKing risk) - The argument leans on one borrowed citation rather than a developed HRM logic - A mediator (the "black box" between HR practices and outcomes) is in the data but not theorized - A reviewer says "the theory is thin," "why would this practice produce this outcome?", or "the mechanism is a label, not an argument" ## The HRM theory bar HRM publishes work that **explains how HR practices and systems shape attitudes, behavior, and performance — and under what conditions.** The contribution must be theoretical, empirical, and/or methodological, but even an empirically driven paper needs an articulated mechanism written *before* the results are known. Crucially, the theory should sit close enough to HR design that a **practice implication** falls out of it; pure psychological process with no HR-system anchor drifts toward PPsych/JAP. For **qualitative / theory-building** work, HRM does not expect a priori hypotheses; it expects a grounded mode

What's inside
Steps it walks through
  1. When to trigger
  2. The HRM theory bar
  3. The HRM theory toolkit (use the right lens)
  4. Multilevel and "black box" discipline
  5. Checklist
  6. Anti-patterns
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the hrm-theory-development skill do?

Use when the theoretical argument and hypotheses are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — building an HRM/OB mechanism (AMO, HR-system strength, signaling, social exchange) and deriving testable predictions a priori. Builds the theory; 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-theory-development --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