Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when deciding whether a theoretical-computer-science result belongs at ITCS or should be routed to STOC, FOCS, SODA, CCC, ICALP, TCC, or a journal, and when distinguishing ITCS from its depth-first siblings by the conceptual-novelty test — is this a new question, model, or connection worth asking, rather than the deepest theorem of the year.
Use to understand how the Journal of the American Academy of Religion (JAAR) evaluates a manuscript — editor pre-screening for broad significance, double-blind review, a roughly 90% rejection rate, a months-long timeline, and a commissioned-only book-review section. Sets expectations and shapes the article to survive; it does not contact editors.
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 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 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, compact editor-final decision model, and annual JAE Conference special-issue pipeline.
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 running and reporting the empirical core of a Journal of the Association for Information Systems (JAIS) manuscript — SEM measurement and structural models for behavioral IS, identification and robustness for economics-of-IS, artifact evaluation for design science, or trustworthiness for qualitative work — and assembling the data/matrix materials JAIS requires. Executes and reports the analysis; it does not design the study (jais-methods) or frame the contribution (jais-contribution-framing).
Use when choosing and defending the research design for a Journal of the Association for Information Systems (JAIS) manuscript — a behavioral survey/experiment, an economics-of-IS identification strategy, a design-science build-and-evaluate cycle, a qualitative/interpretive study, or a review method. Matches method to the IS claim under JAIS's methodological pluralism; it designs the study and hands estimation/evaluation to jais-data-analysis.
Use when calibrating expectations for the Journal of the Association for Information Systems (JAIS) editorial process — the developmental, Senior-Editor-led, double-blind review; how the seven-category routing works; what a JAIS decision letter means; and when to engage the journal's developmental culture. Sets expectations and reads decisions; it does not draft the response (jais-rebuttal) or run the submission preflight (jais-submission).
Use when deciding whether a question fits the Journal of the Association for Information Systems (JAIS) and which of its seven manuscript categories to target. Locks the IS phenomenon, the unit of analysis, and the category before theory work begins; it does not build the theory (jais-theory-development) or invent citations.