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Found 3 Skills
Simulate peer review by constructing reviewer personas from Zotero sources. Identifies relevant perspectives, retrieves full texts, builds reviewer profiles, and generates focused reviews on theory/methods and findings.
Unified paper audit skill supporting Chinese & English academic papers. Supports LaTeX (.tex), Typst (.typ), and PDF (.pdf) input formats. Three modes: self-check (pre-submission), review (peer review simulation), gate (quality gate pass/fail). Use when user mentions: audit, review, check paper, paper quality, pre-submission check, score paper, or any paper auditing task, polish paper, deep polish, adversarial review, refine writing.
Venue-calibrated peer-review simulation. Use when a researcher says "simulate reviewers", "mock review", "review my paper like a NeurIPS reviewer", "what would Reviewer 2 say", "red-team my paper", "find weaknesses before I submit", "peer review my paper", "strengths and weaknesses / pros and cons of my paper", "what to focus on", or wants a rubric score / borderline-reject risk estimate for a conference or journal (NeurIPS, ICML, ICLR, CVPR, KDD, SIGMOD, CHI, VLDB, LNCS, TKDE, TODS...). Builds a reviewer panel calibrated to the venue family and track (harsh NeurIPS main-track skeptics vs lenient demo-track judges), scores novelty/soundness/reproducibility/clarity on the venue's scale, hunts weaknesses grounded in quoted paper text, aggregates scores into a decision-risk band with borderline-reject flags, and outputs a prioritized fix list. Advisory only; improves the paper, never predicts the outcome, re-verifies facts against the live CFP, fabricates no citations or reviewers, and submits nothing.