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Found 6 Skills
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
Systematic review response workflow from comment analysis to professional rebuttal writing. Use when the user asks to "write rebuttal", "respond to reviewers", "draft review response", or "analyze review comments". Improves paper acceptance rates.
Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says "编译论文", "compile paper", "build PDF", "生成PDF", or wants to compile LaTeX into a submission-ready PDF.
Scores a draft against the measurable patterns of recent award-winning and top-cited papers at a target venue, producing a shareable venue-fit scorecard. Use when a researcher asks "score my paper", "how does my paper compare to best papers at SIGSPATIAL/NeurIPS/...", "is my paper good enough for this venue", "benchmark my draft against award winners", "rate my paper out of 10", or wants a readiness scorecard before submitting. Builds an exemplar corpus via study-exemplars, extracts comparable structural and rhetorical features from the draft, and reports a per-dimension scorecard plus an overall venue-fit index — explicitly a conformance measure (does the draft match the form of strong work at this venue), never a prediction of acceptance, award, or scientific quality. Trigger words - score my paper, rate my paper, benchmark, scorecard, compare to best papers, award winners, venue fit, am I ready to submit.
Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.
Deterministic desk-reject preflight linter for LaTeX paper submissions. Use it when a researcher asks "is my paper ready to submit", or mentions preflight, desk reject, submission check, page limit, anonymization, double-blind, missing checklist, or format/template compliance for a conference (NeurIPS, ICML, CHI, SIGSPATIAL, SIGMOD, ICDE, CVPR, LNCS...). Lints the .tex source against a machine-readable venue profile for documentclass and style-file options, margin/template tampering (geometry, savetrees, spacing hacks), anonymization leaks (author block, acknowledgments, repo links, first-person self-citations, \thanks, pdfauthor), required sections (NeurIPS checklist, ICML impact statement, AI-use acknowledgement, COI, CCS concepts/keywords), abstract length, keywords format, and page-limit risk. Every finding is reported with file:line. Runs bundled stdlib-only Python scripts; advisory only, never submits anything.