cabbage2000-lab/paper-tutor-skills

Extracts a traceable abstract from a completed research draft, using discipline-specific styles. Each sentence is tied back to the source text, ensuring no fabricated content.

Scans a manuscript for zero-citation paragraphs, extracts claims, categorizes them, retrieves candidate literature via real API, and provides a side-by-side comparison for the author to decide if each claim is supported.

Helps researchers check if their idea has been scooped and browse daily new papers via arXiv and user-submitted sources. Presents objective concept overlap analysis, leaving decisions to the user.

Assembles AI usage disclosure for academic papers by compiling real usage traces from .paper/ into a four-level assistance report with reader labels for advisors, journals, and AIGC review. Use when asked to generate an AI usage statement or disclosure.

Checks if your Paper verification & retrieval tools are ready: Python, data APIs, network, credentials, cache, typesetting. Outputs a four-state readiness report in Chinese with fix guidance—no automatic repairs.

Drafts academic paper sections from an outline and literature notes, with user approval per paragraph, style mimicry from samples, and citation anchoring to prevent data fabrication.

Provides dual-mode assistance for academic figures: a diagnostic mode to review existing charts across five dimensions, and a design suggestion mode to help select chart types, captions, color schemes, and tools. Helps researchers ensure clarity and correctness in visual data presentation.

Helps users find the right research command in the Paper suite based on their intent or research stage. It asks one clarifying question, then recommends 1-3 matching commands with rationale, stopping without execution.

Import bibliography entries from CNKI, Zotero, or EndNote into a literature notes table. Checks consistency between citations and manuscript drafts, flagging discrepancies without making judgments.

Scaffolds a consistent directory structure for research projects, generating config files (project.paper.yaml) to enable other tools to understand the project context. Use when initializing a new paper or research project to standardize file organization.

Objectively checks the structural correspondence between research question, method, results, and conclusion in a thesis outline. Flags missing parts and ambiguities as questions, leaving judgment to the user.

Drafts a research paper outline based on a research question and literature notes, with literature anchors for each point. Users confirm the structure chapter by chapter before finalizing.

Generates publication-ready plotting code for bar, line, scatter, boxplot, error bar, histogram, and heatmap charts using matplotlib or ggplot2, with user-controlled library, plot type, and colors from public palettes. Strictly uses real data or placeholders to avoid fabricated statistics.

Simulates multi-perspective academic review (journal, thesis blind review, defense committee) with scored evaluations and typical critique points, helping authors pre-test manuscripts before submission or defense.

Assists with drafting point-by-point response letters and revision suggestions for academic papers. Generates candidate replies and actionable revision directions from reviewer comments while keeping you in control of all decisions.

Guides systematic review screening per PRISMA 2020 by building a traceable ledger, mechanically counting records, and generating flow diagrams, while keeping inclusion/exclusion decisions with the researcher.

Helps researchers find academic papers, identify research gaps, and track citations in both English and Chinese, using automated API retrieval for English databases and guided manual retrieval for Chinese databases.

Mechanically computes six style metrics (sentence length, function word density, citation position, etc.) to detect chapter-to-chapter writing style inconsistencies, build a personal style baseline for reuse, or exhibit objective features for AIGC misjudgment appeals.

Prepares a journal submission checklist, compiles common journal requirements, and outlines a cover letter from your draft and target journal guidelines. Use when your paper is ready to submit and you need to organize submission materials.

Helps researchers refine vague research interests into a concrete research question (RQ) via a step-by-step guided funnel. The system presents common academic options but never recommends, leaving all decisions to the user.

Converts Markdown manuscripts to Word, LaTeX, or PDF formats while applying GB/T 7714-2015 bibliography formatting. Detects dependencies and performs content consistency checks, ensuring no alterations to the original text.

Verifies citation existence via real API calls, checks reference format against GB/T 7714, and analyzes claim exaggeration. Produces a detailed report for pre-submission paper self-inspection.

Checks if a research method can answer a given research question, guides methodology selection, and forces ethical review reminders for human-subject research. Designed for academic writing and thesis design.

Assembles a Chinese degree thesis proposal from upstream topic, literature notes, and research design documents, extracting reusable fragments and structuring them into common sections, while leaving researcher-owned content as placeholders.