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Claude Skills by brycewang-stanford

github.com/brycewang-stanford
5,322 skillsA× 5,279B× 42D× 128 installs5,413 views
Wacv Topic SelectionA

Use when deciding whether a project belongs at WACV or should route elsewhere, covering WACV's applications-first identity within the CVF's CVPR/ICCV/ECCV/WACV calendar, the Applications-vs-Algorithms track choice, whether the two-round winter timing fits your schedule, and routing to CVPR, ICCV, ECCV, 3DV, or a journal.

ai-agentsgoaws
0
1,052
Wacv WorkflowA

Use when planning a WACV campaign calendar across the two-round model, from track and round choice through the Round 1 submission, rebuttal, and Accept/Revise-and-Resubmit/Reject decision, into the Round 2 revision and decision, camera-ready, and the winter conference — with the branch points that a single-deadline plan misses.

ai-agentsgo
0
1,052
Wacv Writing StyleA

Use when revising a WACV paper's prose and first page, covering how to write for the chosen Applications or Algorithms track, leading with the real-world constraint or the method, self-contained figure captions inside the 8-page-including-figures budget, scoped claims, and a first page that pre-empts the Revise-and-Resubmit question.

ai-agentsgoaws
0
1,052
Wsdm Artifact EvaluationA

Use when packaging code, data, and models as evidence for a WSDM paper - anonymous repositories cited in the PDF, the proprietary-log dilemma of web-scale research, public-benchmark substitution tiers, WSDM Cup datasets, and what credible artifact release looks like at a venue without a formal badge process.

ai-agentsgoapi
0
1,052
Wsdm Author ResponseA

Use when planning author-side communication for WSDM, a venue that historically runs no rebuttal - covers preemptive objection engineering inside the submitted PDF, the narrow legitimate channels to chairs after submission, reading reviews you cannot answer, and converting a rejection into a stronger next-cycle or sibling-venue submission.

ai-agentsgospring
0
1,052
Wsdm Camera ReadyA

Use when preparing a WSDM camera-ready after acceptance - de-anonymization order, ACM rights and TAPS production into the Digital Library proceedings, CCS concepts and keywords, page-allowance verification, artifact link restoration, and registration/presentation duties at a single-track winter conference.

ai-agentsgogit
0
1,052
Wsdm ExperimentsA

Use when designing or auditing the evaluation of a WSDM paper - offline ranking and recommendation metrics with bias controls, temporal-split protocols for interaction logs, baseline selection from recent WSDM/SIGIR/KDD editions, ablations that isolate the mechanism, efficiency reporting, and online-evidence framing.

ai-agentsrustrails
0
1,052
Wsdm Related WorkA

Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing the section for the tight page budget.

ai-agentsrustnode
0
1,052
Wsdm ReproducibilityA

Use when hardening the reproducibility of a WSDM paper built on logs, graphs, or user-interaction data - provenance of behavioral datasets, temporal split discipline, click-bias assumptions, seed and variance reporting, privacy-preserving release, and honesty tiers for results no outsider can rerun.

ai-agentsrails
0
1,052
Wsdm Review ProcessA

Use when reasoning about how WSDM reviews and decides papers - the hybrid single/double-blind architecture with Associate-Chair metadata visibility, at-least-three PC reviews plus senior PC assessment, the absence of a rebuttal phase, the August-to-October window, and what ~17% selectivity at a single-track venue implies.

ai-agentsaws
0
1,052
Wsdm SubmissionA

Use when auditing a WSDM submission before the August deadlines - EasyChair setup, the abstract-then-paper week, the appendix-inclusive page budget, the required ethical-considerations section, anonymization that survives Associate-Chair metadata visibility, and desk-reject exposure at a no-rebuttal venue.

ai-agentsgo
0
1,052
Wsdm SupplementaryA

Use when deciding what goes where in a WSDM submission whose appendices count inside the page cap - triage between the 9-page body, the uncounted references and ethics section, and the cited external repository; compression tactics for proofs, prompts, and hyperparameter tables under WSDM's historically tight budget.

ai-agentsrustgo
0
1,052
Wsdm Topic SelectionA

Use when deciding whether a project belongs at WSDM or a neighbor - tests for the web/social-data core and the practical-yet-principled bar, scope coverage from web search and recommendation to social networks and responsible web AI, routing against SIGIR, KDD, WWW, CIKM, RecSys, and ICWSM, and long-versus-short-track fit.

ai-agentsrustgo
0
1,052
Wsdm WorkflowA

Use when planning the calendar for a WSDM submission - the single annual cycle from August abstract and paper deadlines through October notification to the February conference, backward milestone planning, the September short-paper fallback, alternate entrances (demos, WSDM Cup, doctoral consortium), and coordination with sibling-venue deadlines.

ai-agentsspring
0
1,052
Wsdm Writing StyleA

Use when drafting or revising prose for a WSDM paper - the practical-yet-principled register, user-and-platform-grounded framing, self-containment writing for a no-rebuttal review, ethical-considerations craft, limitation sentences that protect borderline papers, and compression into the appendix-inclusive page cap.

ai-agents
0
1,052
Wber IdentificationA

Use when the causal identification argument is the bottleneck for a The World Bank Economic Review (WBER) manuscript — RCT/program evaluation, DiD/event study around a reform, regression discontinuity, or IV in a developing-country setting. Stress-tests the data-to-estimate mapping AND the external-validity/policy-interpretation step to the WBER bar; it does not write prose or build the package.

ai-agentsgo
0
1,052
Wber Literature PositioningA

Use when staking a contribution against the development-economics frontier for a The World Bank Economic Review (WBER) manuscript, and ruling out its sibling journals (JDE, World Development, Economic Development and Cultural Change, the Research Observer). Sharpens the gap and the boundary claims; it does not run analysis or write the intro.

ai-agentsgoperformance
0
1,052
Wber RebuttalA

Use when a The World Bank Economic Review (WBER) decision letter has arrived (R&R or reject-with-encouragement) and you need the response-letter strategy — triaging editor vs. referee asks, sequencing new analysis, and writing point-by-point replies for the identification and policy referee archetypes. Plans the revision; it does not run the new analysis.

ai-agentsreactapi
0
1,052
Wber Referee StrategyA

Use when anticipating referee and editor objections before submitting to The World Bank Economic Review (WBER) — pre-empting the predictable development-economics pushbacks (external validity, identification, data quality, policy relevance) and writing the cover letter. Plans defenses; it does not run new analysis.

ai-agentsgo
0
1,052
Wber Replication PackageA

Use when assembling the data and code replication package for a The World Bank Economic Review (WBER) manuscript to meet WBER's condition-of-publication data/code release, the data availability statement with a DOI repository link, and the realities of restricted developing-country data. Builds the deposit and README; it does not run the analysis or write the paper.

ai-agentspythongo
0
1,052
Wber RobustnessA

Use when results for a The World Bank Economic Review (WBER) manuscript may be sensitive to specification, sample, measurement, or inference choices — and you need a threat-organized robustness plan rather than an appendix dump. Organizes checks by identifying threat and by data-quality risks specific to developing-country data; it does not run the estimation.

ai-agentstesting
0
1,052
Wber SubmissionA

Use when running the final pre-submission preflight for The World Bank Economic Review (WBER) via the ScholarOne ManuscriptCentral portal — the 40-page total cap, single-anonymized title page, abstract/JEL, data availability statement with DOI, and house format. Final checks; it does not draft content.

ai-agentsgo
0
1,052
Wber Tables FiguresA

Use when building the exhibits for a The World Bank Economic Review (WBER) manuscript so they read cleanly for a mixed economist + policymaker audience, fit the 40-page cap, and carry the policy magnitude. Designs and audits tables/figures; it does not run the analysis or write the prose.

ai-agents
0
1,052
Wber Theory ModelA

Use when a development model is needed to interpret an empirical result or to run a policy counterfactual for a The World Bank Economic Review (WBER) manuscript, or when deciding whether a formal model is needed at all. Disciplines the model-to-data link and the counterfactual; it does not run estimation or write prose.

ai-agents
0
1,052
Wber Topic SelectionA

Use when deciding whether a development-economics question fits The World Bank Economic Review (WBER) — and how to frame it so both halves of the WBER bar (credible empirics AND policy relevance) are visible. Locks the question and outlet; it does not run the analysis or write the prose.

ai-agentsrustgo
0
1,052
Wber WorkflowA

Use when deciding which wber-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a The World Bank Economic Review (WBER) submission. Routes — it does not replace — the specialized skills.

ai-agentsgo
0
1,052
Wber Writing StyleA

Use when the prose for a The World Bank Economic Review (WBER) manuscript buries the development-policy contribution — abstract, introduction, and the bridge from estimate to policy lesson. Sharpens the writing for a mixed economist + policymaker audience; it does not run analysis or build exhibits.

ai-agentsrustgo
0
1,052
Worlddev IdentificationA

Use when the inference logic is the bottleneck for a World Development (WD) manuscript — credible causal design for quantitative work, or a transparent inferential logic for qualitative and mixed-methods work. Stress-tests the strategy to WD's pluralist bar before exhibits are finalized.

ai-agentsrustgo
0
1,052
Worlddev Literature PositioningA

Use when staking a World Development (WD) manuscript's contribution across the multidisciplinary development literature. Sharpens the gap and the claim; it does not invent evidence or citations.

researchgo
0
1,052
Worlddev RebuttalA

Use when responding to a World Development (WD) decision letter — major/minor revision or reject-and-resubmit — under double-anonymized, multidisciplinary review. Builds the response-letter strategy; it does not invent evidence or citations.

ai-agentsgoapi
0
1,052
Worlddev Referee StrategyA

Use when anticipating the objections a World Development (WD) manuscript will draw under double-anonymized, multidisciplinary review. Pre-empts referee pushback before submission; it does not invent evidence or citations.

ai-agents
0
1,052
Worlddev Replication PackageA

Use when preparing the data/code or qualitative-transparency materials for a World Development (WD) manuscript under Elsevier's research-data policy and double-anonymized review. Assembles the package; it does not invent evidence or citations.

ai-agents
0
1,052
Worlddev RobustnessA

Use when results may be sensitive — to specification, sample, measurement, or inference for quantitative work, or to interpretation and triangulation for qualitative work — in a World Development (WD) manuscript. Organizes checks by threat; it does not invent evidence or citations.

ai-agentsrustgo
0
1,052
Worlddev SubmissionA

Use when running the final pre-submission preflight for World Development (WD) via Elsevier Editorial Manager — double-anonymized formatting, abstract/keyword limits, declarations, data statement, and house style. Final checks; it does not draft content.

ai-agentsgo
0
1,052
Worlddev Tables FiguresA

Use when exhibits in a World Development (WD) manuscript are dense, asterisk-laden, or fail a multidisciplinary reader — including maps and qualitative displays. Makes every exhibit answer a development question; it does not invent evidence or citations.

ai-agents
0
1,052
Worlddev Theory ModelA

Use when the conceptual or analytical framework is the bottleneck for a World Development (WD) manuscript — development theory that organizes the evidence, not necessarily a formal model. Makes the framework do real analytical work; it does not invent evidence or citations.

ai-agentsrustgo
0
1,052
Worlddev Topic SelectionA

Use when deciding whether a development question fits World Development (WD) and which sibling journal it really belongs to. Tests scope, relevance, and outlet fit; it does not invent evidence or citations.

ai-agentsgo
0
1,052
Worlddev WorkflowA

Use when deciding which worlddev-* sub-skill to invoke next, or when sequencing manuscript work from topic through rebuttal for a World Development (WD) submission. Routes — it does not replace — the specialized skills.

ai-agentsrustgo
0
1,052
Worlddev Writing StyleA

Use when the prose, intro, or abstract of a World Development (WD) manuscript fails to reach a multidisciplinary, policy-oriented, global readership. Tunes voice and structure to the WD reader; it does not invent evidence or citations.

ai-agentsgo
0
1,052
Ylj Argument StructureA

Use when organizing the Parts of a The Yale Law Journal (YLJ) article into a doctrine→theory→normative arc. It sequences the argument and pressure-tests counterarguments; it does not polish prose (use ylj-writing-style) or format citations (use ylj-sources-and-bluebook).

ai-agents
0
1,052
Ylj Footnotes And Cite CheckA

Use when running the final footnote-apparatus audit of a The Yale Law Journal (YLJ) piece — verifying every cite exists, is pinpointed, is correct Bluebook form, and actually supports its sentence, in preparation for (or during) the student source-pull. It verifies; it does not construct new cites (ylj-sources-and-bluebook).

ai-agents
0
1,052
Ylj Placement StrategyA

Use when planning where and when to submit a law-review piece and how to handle an expedite, with The Yale Law Journal (YLJ) as a target. It covers multi-submission timing, season strategy, and YLJ's specific expedite rules; it does not run the final upload preflight (ylj-submission).

ai-agentsgoexpress
0
1,052
Ylj Preemption CheckA

Use when verifying that a The Yale Law Journal (YLJ) claim is genuinely novel and not preempted by prior scholarship. It runs the systematic SSRN/Westlaw/HeinOnline search and writes the "what's new" paragraph; it does not draft the thesis (use ylj-thesis-and-contribution).

ai-agentsgodatabase
0
1,052
Ylj Revision And EditingA

Use when working through The Yale Law Journal (YLJ) post-acceptance editing cycle and answering author queries, or when preparing a shorter YLJ Forum piece. It covers the intensive student edit + the online companion path; it does not run the final cite verification (ylj-footnotes-and-cite-check).

ai-agentsrustgo
0
1,052
Ylj Sources And BluebookA

Use when building and formatting the citation apparatus for a The Yale Law Journal (YLJ) piece — pinpoint cites, Bluebook form, and source support for every assertion. It governs cite construction; the final editorial cite-check and source-pull is ylj-footnotes-and-cite-check.

ai-agentsgo
0
1,052
Ylj Student Editor ReviewA

Use when working with The Yale Law Journal (YLJ) student editors during evaluation and acceptance — the Articles & Essays Committee read, the Notes Development process for student authors, and the source-pull. It explains how the student-edited model works; it does not run the intensive line-edit cycle (ylj-revision-and-editing).

ai-agentsgoapi
0
1,052
Ylj SubmissionA

Use when running the final pre-submission preflight for The Yale Law Journal (YLJ) via its own online author portal — track selection, anonymization, word/length caps, Bluebook readiness, and required materials. Final checks; it does not draft content.

ai-agentsgoexpress
0
1,052
Ylj Thesis And ContributionA

Use when sharpening the central legal-scholarly claim and contribution for a The Yale Law Journal (YLJ) piece. It forces a falsifiable, generalist thesis and names the contribution type; it does not search prior literature (use ylj-preemption-check) or build the argument (use ylj-argument-structure).

ai-agentsgo
0
1,052
Ylj Topic SelectionA

Use when deciding whether a legal-scholarship idea is a fit for The Yale Law Journal (YLJ) and which track it belongs in. It tests generalist significance, timeliness, and novelty potential; it does not draft the thesis or run the formal preemption search.

ai-agentsreact
0
1,052
Ylj WorkflowA

Use as the entry point for any The Yale Law Journal (YLJ) piece. Routes to the right YLJ sub-skill based on lifecycle stage and which track (Article, Essay, Feature, student Note/Comment, or Forum) fits. It dispatches; it does not draft content.

ai-agentsexpressdatabase
0
1,052