Skill Index

ai-asset-pricing/

submission-prep

community[skill]

Pre-submission checklist for JF, RFS, JFE, or other target journals

$/plugin install ai-asset-pricing

details

Submission Prep Skill

Run a pre-submission checklist tailored to the target journal. Catches common rejection-worthy issues before you submit.

Examples

  • /submission-prep -- run full checklist (uses target journal from project's CLAUDE.md)
  • /submission-prep JF -- run checklist with JF-specific requirements
  • /submission-prep --strict -- flag warnings as failures

Workflow

Step 1: Load Target Journal

Read the project's CLAUDE.md for the target journal. If not specified, ask the user. Common targets: JF, RFS, JFE, RoF, JFQA, MS.

Step 2: Run Checks

2a. Document Structure

  • Abstract present and within word limit (100--150 words for JF/RFS/JFE)
  • Title length reasonable (<15 words recommended)
  • All expected body sections present (check project's CLAUDE.md for section list)
  • Page count within typical range (40--60 pages including appendices for top-3)

2b. Content Completeness

  • No [HUMAN EDIT REQUIRED] tags remaining in any .tex file
  • No TODO, FIXME, XXX comments in .tex
  • No \lipsum or placeholder text
  • No commented-out sections that should be removed or restored

2c. Terminology Compliance

  • Project-specific terminology used consistently (check project's CLAUDE.md)
  • No banned words from academic-writing.md Section 1

2d. Tables and Figures

  • All tables have self-contained captions (sample period, units, variable definitions)
  • All figures have self-contained captions with axis labels
  • All tables and figures are referenced in the text (\ref check)
  • Numbers use 2--3 significant digits (not computer output)
  • Tables use booktabs style (\toprule/\midrule/\bottomrule, no vertical lines)
  • Figures use vector format (PDF) where possible

2e. Bibliography

  • All \cite{} keys resolve to .bib entries
  • No unused .bib entries
  • No duplicate .bib entries
  • Consistent BibTeX format (all @article have journal, year, volume, pages)
  • Proper nouns protected in titles: {CAPM}, {U.S.}, {NYSE}, etc.

2f. Cross-References

  • All \ref{} and \eqref{} resolve to valid labels
  • Equations use \eqref not \ref
  • Non-breaking spaces used (Table~\ref, Eq.~\eqref, Figure~\ref)

2g. Writing Quality

  • No banned words (run /style-check if not done recently)
  • No AI-marker words (see academic-writing.md for full list)
  • No em-dashes (---) in prose
  • No structural AI tells: naked "this", adverb openers, "Together, these results..."
  • Soft-ban words within limits: "highlights" (max 2/paper), "insights" (max 1/paper)
  • No hedge words: somewhat, quite, very (intensifier), arguably, perhaps
  • No previewing: "as we show below", "we will show", "Recall from"
  • Active voice throughout
  • Specific numbers for quantitative claims
  • First sentence is concrete, not throat-clearing

2h. Compilation

  • Clean compile with no errors
  • Acceptable warning count (flag if >10 non-font warnings)
  • PDF renders correctly (no missing figures, no ?? references)

2i. Journal-Specific Requirements

  • Author information complete (names, affiliations, emails)
  • Acknowledgments section present
  • JEL classification codes present
  • Keywords present (if required by target journal)
  • Data availability statement present (increasingly required)

2j. Key Results Verification

  • Key claims in the project's CLAUDE.md match the numbers in tables/text
  • Sample period stated consistently across abstract, introduction, and table captions
  • Main results discussed in both introduction and results section

Step 3: Output

SUBMISSION PREP CHECKLIST
=========================

Target: [journal]
Paper: [title from project CLAUDE.md]

PASS: N checks passed
FAIL: M checks failed
WARN: K warnings

--- FAILURES ---
[ ] Line X: [HUMAN EDIT REQUIRED] tag found in section Y
[ ] Table Z: caption missing sample period
[ ] \cite{smith2023}: key not in .bib

--- WARNINGS ---
[!] Abstract is 168 words (target: 100-150)
[!] 14 compilation warnings (non-font)
[!] Page count: 65 pages (typical: 40-60)

--- PASSED ---
[x] All body sections present
[x] All figures referenced in text
[x] Clean compile (0 errors)
[x] Terminology compliant
[etc.]

RECOMMENDATION: [READY TO SUBMIT / FIX N ISSUES FIRST]

technical

github
Alexander-M-Dickerson/ai-asset-pricing
stars
49
license
MIT
contributors
1
last commit
2026-04-19T07:58:01Z
file
.claude/skills/submission-prep/SKILL.md

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