Agent skill · Data & Analytics

psychrev-argument-development

Use when deriving predictions from a Psychological Review theory and confronting them with existing data and rival models — the journal's substitute for an empirical results section. Develops the argument; it does NOT build the model (psychrev-theory-construction) or set its scope and identifiability limits (psychrev-boundary-conditions).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-argument-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: 5 KB
Bundled scripts: none
Path: Psychological-Review-Skills/skills/psychrev-argument-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

# Argument Development: Deriving & Confronting Predictions (psychrev-argument-development) ## When to trigger - The model is built but you have not shown what it *predicts* - You assert the theory "explains" phenomena without deriving them - You have not compared your predictions to rival models on diagnostic cases - A reviewer will ask "could this theory have been wrong?" ## What replaces a results section here Psychological Review has no experiment of its own as the contribution. The work that an empirical paper does with data, a Review paper does with **derivation and confrontation**: you *derive* predictions from the model's assumptions, then *confront* them with already- existing evidence and with what rival models predict. Logical and quantitative soundness is the rigor standard, exactly as statistical inference is at empirical journals. ## The derivation discipline 1. **Derive, do not assert.** For each phenomenon in the explanandum, show how it *follows* from the assumptions — analytically, or by simulation that traces assumptions → behavior. "The model can explain X" is worthless without the derivation that it *does*. 2. **Separate signature from accommodation.** A strong

What's inside
Steps it walks through
  1. When to trigger
  2. What replaces a results section here
  3. The derivation discipline
  4. The confrontation discipline
  5. Quantitative honesty (for formal models)
  6. Checklist
  7. Anti-patterns
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the psychrev-argument-development skill do?

Use when deriving predictions from a Psychological Review theory and confronting them with existing data and rival models — the journal's substitute for an empirical results section. Develops the argument; it does NOT build the model (psychrev-theory-construction) or set its scope and identifiability limits (psychrev-boundary-conditions).

How do I install it?

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

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