Individual skill
jru-writing-style
Use when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision. Sharpens abstract, intro, and exposition for a risk/uncertainty audience; it does not invent evidence or citations.
Journal-of-Risk-and-Uncertainty-Skills/skills/jru-writing-style/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,405
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- writing Derived category
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SKILL.mdcore · 6,986 bytes
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# Writing Style (jru-writing-style)
## When to trigger
- The abstract says "we study risk preferences" without naming the primitive, the method, or the headline number
- The introduction motivates with a policy anecdote but never states the decision-theoretic claim
- Notation drifts: the same symbol means utility in one section and value in another, or w(p) is never formally introduced
- The paper reads as either pure theory or pure empirics when JRU readers expect the bridge between them
## The JRU voice
JRU prose is **precise about the decision model and honest about measurement**. The reader is a risk-and-uncertainty specialist who wants, fast: which primitive the paper moves, how it was elicited or estimated, and how big and how precise the effect is. The house register is technical but not ornamental — the model earns its symbols, and every claim is calibrated to what the identification supports.
### Abstract (treat each sentence as load-bearing)