From jbes-skills
Routes JBES methods-paper workflows by diagnosing the current bottleneck and recommending the next specialized sub-skill.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jbes-skills:jbes-workflowThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This is the router. It does not replace any specialized skill. It tells you **which jbes-* skill to use at the current stage** of a manuscript aimed at the *Journal of Business & Economic Statistics*.
This is the router. It does not replace any specialized skill. It tells you which jbes- skill to use at the current stage* of a manuscript aimed at the Journal of Business & Economic Statistics.
Default assumption: unless the user says otherwise, treat the target as JBES — a methodological econometrics-and-statistics journal published by Taylor & Francis on behalf of the American Statistical Association (ASA). JBES's defining demand is methods-with-empirics: a new or improved statistical/econometric method (machine-learning and data-science adaptations and computational improvements explicitly welcomed) that has clear empirical relevance and usually a substantive empirical application. Pure theory without empirical motivation, or pure applications without methodological novelty, are off-scope. The journal runs on a rotating Joint Editor model with no single Editor-in-Chief; current Joint Editors are Yingying Fan, Michael Kolesár, and Dacheng Xiu per the official T&F search snippet. Submission-only details still require opening the live T&F author instructions.
| Current symptom | Next skill |
|---|---|
| Unsure the method is novel enough, or it has no empirical relevance / application | jbes-topic-selection |
| Contribution vs. prior econometrics/statistics methods is fuzzy | jbes-literature-positioning |
| The "what's new and why it matters" claim is not crisp | jbes-contribution-framing |
| Regularity conditions / asymptotics / Monte Carlo design are the bottleneck | jbes-identification-strategy |
| The empirical application or simulation evidence is thin | jbes-data-analysis |
| Simulation tables are dense; size/power not legible | jbes-tables-figures |
| Prose buries the method or theorem statements are unclear | jbes-writing-style |
| Data/code supplement and data availability statement not assembled | jbes-replication-and-data-policy |
| Want to understand peer review / discussion-paper handling here | jbes-review-process |
| Ready to submit; need a preflight checklist | jbes-submission |
| Received an R&R; need a response-letter strategy | jbes-rebuttal |
jbes-topic-selection — confirm method novelty + empirical relevance fitjbes-literature-positioning — stake the method against prior artjbes-contribution-framing — sharpen the one-sentence methodological contributionjbes-identification-strategy — assumptions, asymptotics, Monte Carlo designjbes-data-analysis — Monte Carlo evidence + the substantive applicationjbes-tables-figures — make size/power/coverage legiblejbes-writing-style — polish prose, theorem statements, abstract (late stage)jbes-replication-and-data-policy — assemble the reproducible supplementjbes-review-process — understand the multi-Co-Editor review pathjbes-submission — preflightjbes-rebuttal — after the R&R
jbes-writing-styleis a late-stage polish. Do not rewrite the introduction before the theory and simulation evidence are settled.
A pure economics finding with no methodological novelty fits a general-interest economics journal better; pure theorem-proving with no empirical motivation fits a theoretical statistics journal better. JBES sits in between, and because it is ASA-owned it follows ASA editorial/ethics and data-sharing policy rather than the AEA Data Editor / mandatory-pre-publication-replication regime. Operational tells you are at JBES: methods-with-empirics scope, multi-Co-Editor model, ASA supplementary-material expectation, Open Select hybrid OA, and a discussion-paper tradition.
A hypothetical JBES manuscript — a dependence-robust forecast-comparison test on FRED-MD inflation (path illustrative) — moves through the stack as follows. The author runs jbes-topic-selection (novelty + a real macro application → in-scope), then jbes-literature-positioning, then jbes-contribution-framing (a HAC-robust test fixing over-rejection). When the limiting null is the bottleneck, route to jbes-identification-strategy; when simulation and application are thin, jbes-data-analysis; then jbes-tables-figures, late-stage jbes-writing-style, the supplement, review, and submission. An R&R routes to jbes-rebuttal, which re-dispatches into the same skills.
【Stage】topic / positioning / framing / method / evidence / exhibits / prose / supplement / submit / rebuttal
【Symptom】the current bottleneck in one phrase
【Route to】the single jbes-* skill that owns it
【Scope gate】novelty AND empirical relevance present? [Y/N] — if N, topic-selection first
【Live-T&F preflight needed】submission-only fact could change route? [Y/N]
【Next】the skill to invoke now
Calibration anchor (hedged): the spine is methods-with-empirics — a method with no application is desk-rejected, and exhibits wait until the asymptotics settle. Submission-specific rules are live-page preflight items.
jbes-topic-selection — a method with no empirical relevance is desk-rejected as off-scopejbes-rebuttal draft a response letter before the revised manuscript existsnpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin jbes-skillsExplains the JBES peer-review process: multi-Co-Editor model, method-referee scrutiny axes, and discussion-paper tradition. Use when planning a submission or cover letter.
Routes between joe-* sub-skills for Journal of Econometrics manuscript workflow, from topic selection through revision rebuttal. Activates when deciding which specialized skill to invoke next.
Routes manuscript work for The Review of Economics and Statistics (REStat) submissions, directing users to the appropriate restat-* sub-skill based on current stage or bottleneck.