jcf-contribution-framing
Use when sharpening the stated contribution of a Journal of Corporate Finance (JCF) manuscript — turning a result into a crisp "what is new and why it matters to corporate finance" claim that survives the editor's desk screen. It frames the pitch (abstract, intro, cover letter); it does not run analysis.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcf-contribution-framing --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Contribution Framing (jcf-contribution-framing) ## When to trigger - Writing the abstract's contribution sentence and the introduction's "we show / we contribute" arc - Drafting the cover-letter pitch the handling editor reads first - Deciding whether the contribution is strong enough to clear active desk-rejection ## What a JCF contribution looks like JCF runs an **active desk-rejection policy*
What does the jcf-contribution-framing skill do?
Use when sharpening the stated contribution of a Journal of Corporate Finance (JCF) manuscript — turning a result into a crisp "what is new and why it matters to corporate finance" claim that survives the editor's desk screen. It frames the pitch (abstract, intro, cover letter); it does not run analysis.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcf-contribution-framing --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.