Claude Skills by brycewang-stanford

Use when deciding whether an international-relations project fits International Organization (IO) and which article type to target. IO is the IR-specialist flagship, so the test is a generalizable theory about international politics where an international or cross-border phenomenon is a major cause or effect — not subfield novelty and not a domestic-politics result. Helps frame the IR question; it does not collect data.

Use when preparing the replication/transparency materials for an International Organization (IO) manuscript. IO's signature requirement is verification BEFORE final acceptance — the editorial staff request data and code at conditional acceptance, IO staff re-run quantitative results and check proofs of formal models, and editors withhold final acceptance until all reported results are confirmed; materials then deposit to the IO Dataverse with a DOI and a Data Availability Statement. Prepares ...

Use as the entry point for any International Organization (IO) manuscript. Routes to the right IO sub-skill based on where you are in the lifecycle and which article type (Research Article, Research Note, Essay) fits. IO is the IR-specialist flagship, so the router's first job is to confirm the paper is an international-relations contribution, not a domestic-politics paper with an international label. It dispatches; it does not draft content.

Use when drafting or polishing an International Organization (IO) manuscript so it reads for international-relations scholars across paradigms, fits the word caps (Research Article <= 14,000; Research Note <= 8,000; Essay <= 10,000, including tables, figures, and notes but excluding the bibliography), and meets IO format conventions (double-blind, third-person self-citation, short author-date footnotes, separate abstract/word-count/acknowledgments). Tightens prose and format; it does not inve...

Use when drafting the editor-facing cover letter that pitches a JAMA manuscript's general medical importance and confirms compliance. Frames the pitch and declarations; it does NOT write the manuscript or the abstract.

Use when verifying trial registration, IRB/ethics approval, informed consent, ICMJE authorship and conflict-of-interest disclosures, and the data-sharing statement for a JAMA manuscript. Confirms compliance; it does NOT design the study or write the abstract.

Use when designing or auditing the figures and tables of a JAMA manuscript, including the required flow diagram, baseline table, and main-result exhibits. Shapes exhibits for JAMA conventions; it does NOT run the statistics or write the abstract.

Use when responding to JAMA editor and reviewer comments after a revise decision, including the statistical-review queries. Structures the point-by-point response and revision; it does NOT fabricate new analyses or overstate changes.

Use when selecting and completing the EQUATOR-network reporting checklist and flow diagram for a JAMA manuscript (CONSORT, STROBE, PRISMA, STARD, and design-specific guidelines). Maps design to checklist; it does NOT design the study or write the statistics.

Use when judging whether a clinical study clears JAMA's general-medical-importance bar before investing in a full submission. Assesses fit and article-type match; it does NOT design the study or write the paper.

Use when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.

Use when writing or auditing the JAMA structured abstract and the Key Points box for a JAMA manuscript. Enforces the exact JAMA heading set and quantified results; it does NOT design the study or run statistics.

Use when locking the study design and internal-validity safeguards for a JAMA clinical manuscript (RCT, cohort, diagnostic, or systematic review). Strengthens design choices; it does NOT pick the reporting checklist or run the statistics.

Use when running the final pre-submission preflight for a JAMA manuscript — word/format limits, required statements, checklist and flow-diagram files, disclosures, and portal steps. Verifies completeness; it does NOT write or analyze content.

Use when deciding which jama-* sub-skill to invoke next, or when sequencing a clinical manuscript from scope check through revision for JAMA (Journal of the American Medical Association). Routes — does not replace — the specialized skills.

Use when tightening prose and removing spin from a JAMA manuscript to match the journal's clinical house style and the AMA Manual of Style. Polishes language and framing; it does NOT change the analysis or the reported numbers.

Use when turning empirical results into an explicit contribution to accounting knowledge for a Journal of Accounting Research (JAR) manuscript — stating what we now know about how accounting information is produced, disclosed, audited, or used, and why it matters economically. Frames the contribution; it does not run the analysis (jar-data-analysis) or polish prose (jar-writing-style).

Use when running and reporting the empirical-archival analysis for a Journal of Accounting Research (JAR) manuscript — standard-error clustering, endogeneity execution, construct measurement, and the robustness battery referees expect, plus the reproducible data-and-code package JAR requires. Executes and reports; it does not choose the identification strategy (jar-methods) or frame the contribution (jar-contribution-framing).

Use when positioning a Journal of Accounting Research (JAR) manuscript within the accounting literature — stating the conversation you join, the marginal contribution over prior archival/disclosure/audit work, and why JAR (not TAR/JAE/RAST/CAR) is the home. Positions the paper; it does not build the mechanism (jar-theory-development) or articulate the discussion-section contribution (jar-contribution-framing).

Use when the research design and identification strategy are the bottleneck for a Journal of Accounting Research (JAR) manuscript — choosing the setting, source of identifying variation, and sample to support a causal accounting claim. Designs the study; it does not run the estimation, clustering, or robustness (jar-data-analysis).

Use after a Journal of Accounting Research (JAR) revise-and-resubmit to plan the revision and draft the point-by-point response — prioritizing the Senior Editor's first-order concerns (identification, the channel, measurement) and updating the required data-and-code package. Plans and drafts the response; it does not run the new analyses from scratch (jar-data-analysis) or re-run the submission preflight (jar-submission).

Use when setting expectations for how Journal of Accounting Research (JAR) review and decisions work, or when reading a JAR decision letter — the Senior-Editor-panel structure, double-anonymized review, the desk-screen and tiered-fee gate, and the distinctive Ray Ball Conference and Registered Reports tracks. Explains the process; it does not draft the R&R response (jar-rebuttal).

Use when running the final pre-submission preflight for a Journal of Accounting Research (JAR) manuscript — the Wiley Research Exchange portal, double-anonymization, the tiered submission fee and one-week payment window, the article-type choice, and the data-and-code package JAR requires. Checks readiness to submit; it does not handle the post-decision response (jar-rebuttal).

Use when finalizing the descriptive, results, and identification exhibits for a Journal of Accounting Research (JAR) manuscript — the summary-statistics table, correlation matrix, main regression tables, and identification plots that an empirical-archival accounting paper lives or dies on. Builds the exhibits; it does not run the estimation (jar-data-analysis) or polish prose (jar-writing-style).

Use when building the economic mechanism and deriving signed, falsifiable predictions for a Journal of Accounting Research (JAR) manuscript — grounding hypotheses in information economics, contracting, and disclosure theory rather than psychology-style construct chains. Builds the mechanism; it does not design the empirical test (jar-methods) or run it (jar-data-analysis).

Use when choosing or sharpening a research question for a Journal of Accounting Research (JAR) manuscript — testing whether it is a real accounting question with a credible setting, JAR fit, and identification potential before any data work begins. Locks the question; it does not build the mechanism (jar-theory-development) or design the test (jar-methods).

Use when deciding which jar-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Journal of Accounting Research (JAR) manuscript. Routes — it does not replace — the specialized skills.

Use when polishing the prose of a Journal of Accounting Research (JAR) manuscript — a design-forward, economically literate style that states the question, setting, and identification early and reads like recent empirical-archival accounting papers. Polishes prose and house style; it does not build the contribution (jar-contribution-framing) or format exhibits (jar-tables-figures).

Use when articulating the contribution of a Journal of Accounting and Economics (JAE) manuscript — stating explicitly what the paper teaches about accounting's economic role (information content, contracting, disclosure, standards) and why an economics-based result advances the positive-accounting literature beyond an incremental correlation.

Use when running and reporting the empirical analysis for a Journal of Accounting and Economics (JAE) manuscript — building the archival sample, choosing fixed effects and clustered standard errors, executing the identification design, and demonstrating robustness for large-sample capital-markets/contracting/disclosure data. Executes and reports the analysis; it does not design the study (jae-methods) or frame the contribution (jae-contribution-framing).

Use when positioning a Journal of Accounting and Economics (JAE) manuscript within the positive-accounting and economics literatures — joining the right conversation (capital-markets, contracting, disclosure, standards), engaging seminal economics-based work, and avoiding gap-spotting.

Use when designing the empirical (or analytical) approach for a Journal of Accounting and Economics (JAE) manuscript — choosing an identification strategy (natural experiments, DiD, IV, RD) for large-sample archival capital-markets/contracting/disclosure data, or structuring an economic model, so the design can credibly support the economic prediction.

Use when planning revisions and drafting the point-by-point response for a Journal of Accounting and Economics (JAE) revise-and-resubmit — prioritizing the editor's identification and contribution concerns, satisfying economics-trained reviewers with new tests, and noting that resubmissions carry no submission fee.

Use when anticipating or interpreting the Journal of Accounting and Economics (JAE) review process — the editor suitability screen and Article Transfer Service desk-reject culture, double-anonymized review by a minimum of two reviewers, the compact co-Editor (Core/deHaan/Guay) final-decision model, and the annual JAE Conference special-issue pipeline.

Use when preparing to submit to the Journal of Accounting and Economics (JAE) — the Editorial Manager preflight, the USD 650 submission fee, double-anonymized file separation (anonymized manuscript plus title page), mandatory Highlights, keywords and JEL codes, and Elsevier author-date formatting.

Use when building the exhibits for a Journal of Accounting and Economics (JAE) manuscript — variable-definition appendix, sample-construction table, descriptive statistics and correlations, regression tables with clustered standard errors, and event-study/DiD figures — in Elsevier house style so each exhibit is self-contained and reproducible.

Use when building the economic argument and predictions for a Journal of Accounting and Economics (JAE) manuscript — grounding hypotheses in agency, information-economics, contracting, or disclosure theory so the paper applies economic theory to explain accounting phenomena rather than reporting a bare correlation.

Use when choosing or sharpening a research question for the Journal of Accounting and Economics (JAE) — testing economics-based fit, distinguishing JAE from JAR/TAR/RAST, and ensuring the question is about accounting's economic role rather than a normative or behavioral puzzle.

Use when deciding which jae-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Journal of Accounting and Economics (JAE) manuscript. Routes — it does not replace — the specialized skills.

Use when polishing the prose of a Journal of Accounting and Economics (JAE) manuscript — economics-paper conventions (precise, hypothesis-driven, restrained), Elsevier author-date (Harvard) referencing, numbered sections, and the mandatory Highlights/keywords/JEL packaging — so the writing matches the positive-accounting tradition.

Use when framing the headline contribution of a Journal of Applied Econometrics (JAE) manuscript — as an empirical application on real data whose results are replicable, rather than a pure-theory advance. Calibrates claims to what the data and design support and compresses into the 100-word summary.

Use when running estimation and inference for a Journal of Applied Econometrics (JAE) manuscript so the analysis is reproducible and archive-ready — every table/figure regeneratable from plain-text data and programs you will deposit in the JAE Data Archive. Covers robust inference, master-script discipline, Monte Carlo evidence, and the archive's plain-ASCII/CSV format rule.

Use when designing or defending the empirical identification of a Journal of Applied Econometrics (JAE) manuscript — a credible strategy applied to real data, with assumptions stated, tested, and reproducible. Covers time-series, panel, IV, and quasi-experimental designs typical of applied econometrics, tying every claim to depositable evidence.

Use when positioning a Journal of Applied Econometrics (JAE) manuscript against prior work — applied-econometrics precedent, the methods you apply, and JAE's own corpus and Data Archive of replicable papers. Frames the gap as an application/replication advance under JAE's citation-style-agnostic Free Format.

Use when drafting the response letter for a Journal of Applied Econometrics (JAE) revise-and-resubmit — replying to single-blind anonymous referees and the Editor-in-Chief on applied-econometrics objections (identification on real data, inference, robustness) while keeping the JAE Data Archive package in sync with every revised result.

Use when assembling the mandatory JAE Data Archive deposit for an accepted Journal of Applied Econometrics paper — plain-ASCII/CSV data with a readme, the programs that replicate every result, and the confidential-data exception. Encodes the archive's actual format rules (no bare .dta/SAS) and its history (Queen's 1994–2022, now ZBW).

Use when navigating the Journal of Applied Econometrics (JAE) editorial process — single-blind peer review by anonymous reviewers in addition to the Editor, with final accept/reject authority vested in the Editor-in-Chief, plus the three-papers-under-review cap and the rule that rejected papers are not resubmittable unless invited.

Use when running the final pre-submission preflight for the Journal of Applied Econometrics (JAE) via Editorial Express — Free Format PDF submission, the 100-word citation-free summary, the 35-page limit, any-consistent-style references, the no-submission-fee policy, the optional open-access charge, and the three-papers-under-review cap. Final checks; it does not draft content.

Use when building tables and figures for a Journal of Applied Econometrics (JAE) manuscript under the hard 35-page article limit — keeping core exhibits in the main text while pushing extended results into the unlimited online appendix, and ensuring every exhibit is regeneratable for the JAE Data Archive.

Use when deciding whether a project fits the Journal of Applied Econometrics (JAE) — an applied (not pure-theory) journal publishing empirical, replicable work that applies or develops econometric techniques on real data. Tests scope fit, the replicability requirement, and the Research vs. Replication Article tracks before you commit.