Agent skill

jop-theory-building

Use when turning a The Journal of Politics (JOP) idea into a theoretically innovative argument — formal/game-theoretic, empirical, or normative. JOP explicitly prizes theoretical innovation across all subfields and counts pages, so the argument must be sharp, general, and economical. Builds the argument; it does not run analyses.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jop-theory-building --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: Journal-of-Politics-Skills/skills/jop-theory-building/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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 & Argument Building (jop-theory-building) JOP advertises that it publishes **theoretically innovative** work and treats theory **broadly** — formal, empirical, interpretive, and normative all qualify. This skill turns your idea into an argument a general reader recognizes as new, and tight enough to fit the **page budget**. ## When to trigger - Moving from "interesting finding" to "argument that contributes" - Specifying mechanisms, assumptions, and observable implications - A reviewer said the theory is "thin," "post hoc," or "not novel" - Linking a formal model to its empirical or substantive test ## Build the argument (mode-aware) ### Empirical / mechanism-based - State the **mechanism**: what causes what, through what channel, under what scope conditions. - Derive **observable implications** that could be **wrong** — the argument must be falsifiable. - Separate predictions **unique to your account** from those shared with rivals (sets up `jop-research-design`). ### Formal / game-theoretic - State primitives, equilibrium concept, and the **comparative statics** that carry the substance. - Make the model **earn its place**: what does formalization reveal that prose could

What's inside
Steps it walks through
  1. When to trigger
  2. Build the argument (mode-aware)
  3. Empirical / mechanism-based
  4. Formal / game-theoretic
  5. Normative / interpretive
  6. The JOP innovation test
  7. Worked micro-example (illustrative)
  8. Referee pushback patterns and the JOP fix
  9. Keep it economical (page budget)
  10. Anti-patterns
  11. Operating pass for Journal of Politics
  12. Output format
  13. Supplementary resources
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jop-theory-building skill do?

Use when turning a The Journal of Politics (JOP) idea into a theoretically innovative argument — formal/game-theoretic, empirical, or normative. JOP explicitly prizes theoretical innovation across all subfields and counts pages, so the argument must be sharp, general, and economical. Builds the argument; it does not run analyses.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jop-theory-building --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 984 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