Agent skill

jru-literature-positioning

Use when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature. Positions the claim within risk/uncertainty scholarship; it does not invent evidence or citations.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-literature-positioning --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: Journal-of-Risk-and-Uncertainty-Skills/skills/jru-literature-positioning/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

# Literature Positioning (jru-literature-positioning) ## When to trigger - The contribution is described as "new" but the relevant decision-theory or measurement literature is not engaged - A referee is likely to say "this was settled by [the prospect-theory / ambiguity / VSL literature] decades ago" - The paper sits between behavioral camps (EU loyalists vs. PT/RDU vs. ambiguity) and has not declared which conversation it joins - Citations lean on textbooks and reviews rather than the primary representations the paper builds on ## The conversations JRU papers must locate themselves in JRU readers hold a precise map of the field. Position the paper on it explicitly rather than against "the literature" generically: - **Expected utility and its critiques** — vNM/Savage as the benchmark; the Allais and Ellsberg paradoxes as the canonical anomalies a contribution must respect or explain. - **Non-EU under risk** — prospect theory and cumulative prospect theory (probability weighting, loss aversion, reference dependence); rank-dependent utility; disappointment/regret models. Say which functional family you adopt and why. - **Uncertainty / ambiguity** — maxmin and α-MEU, smooth ambiguity,

What's inside
Steps it walks through
  1. When to trigger
  2. The conversations JRU papers must locate themselves in
  3. How to stake the contribution
  4. Citation discipline for a specialist readership
  5. Worked vignette (illustrative)
  6. Positioning across paradigms vs. within one
  7. Checklist
  8. Where the introduction makes the contribution land
  9. Anti-patterns
  10. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jru-literature-positioning skill do?

Use when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature. Positions the claim within risk/uncertainty scholarship; it does not invent evidence or citations.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-literature-positioning --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