skills/full/paper-review-pipeline/SKILL.md
Use when a mostly complete ML conference paper needs self-review, pre-submission QA, camera-ready checking, section-by-section critique, citation-risk inspection, or rebuttal/review-response drafting. Skip this for initial drafting and use `paperreview` only when the user explicitly wants external submission.
npx skillsauth add cnfjlhj/ai-collab-playbook paper-review-pipelineInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Run a two-view paper review for ML conference submissions:
This skill also supports rebuttal / review response: parse reviewer comments, classify, choose a strategy, and draft a professional point-by-point response.
This skill is a consolidation layer. It must not omit any distinctive workflow, constraints, or output formats from the legacy skills it replaces.
Use:
references/parity-matrix.md as the feature-parity contract and regression scenarios.references/modules/ for full imported workflows and checklists.This skill supports two modes:
targeted — run only the most relevant tracks based on the user request and inputs, but always produce the Final Synthesis.full-parallel — run all tracks as independent outputs (acceptable redundancy), then produce the Final Synthesis.Trigger full-parallel when the user says: “全量”, “并行”, “run all tracks”, “run every skill”, “逐个 skill 测试”, “full pipeline”.
Protocol + required report template:
references/full-parallel-protocol.mdreferences/report-template.mdpaperreview)If the user provides a near-final or final PDF, complete the local review first and then explicitly ask whether they also want an external second opinion via paperreview.
paperreview as a follow-up step; otherwise finish with the local pipeline result only.[CITATION NEEDED] / placeholder and tell the user explicitly.\\cite{}, \\ref{}, \\label{}, math environments, figures/tables, or bibliography hooks.For each section, output:
Use the checklists in:
references/section-review-checklist.mdFormat each issue like:
Use the taxonomy in:
references/p0-p2-taxonomy.mdUse these modules to preserve legacy feature parity:
references/modules/paper-self-review.mdreferences/modules/review-response.md and references/rebuttal-workflow.mdreferences/modules/academic-paper-helper.mdreferences/modules/citation-validator.md and references/citation-integrity.mdreferences/modules/writing-anti-ai.mdreferences/modules/latex-rhythm-refiner.mdreferences/modules/claude-scholar-ml-paper-writing.mdReview sections in order (and check alignment between them):
Turn findings into an actionable issue list:
If the user wants an execution plan, produce:
When mode is full-parallel, do not collapse everything into one voice. Instead:
Use:
references/full-parallel-protocol.mdreferences/report-template.mdWhen reviews arrive, do:
Use:
references/rebuttal-workflow.mdBefore submission, ensure:
If deep citation audit is requested, follow:
references/citation-integrity.mdtools
小红书笔记素材创作技能。当用户需要创建小红书笔记素材时使用这个技能。技能包含:根据用户的需求和提供的资料,撰写小红书笔记内容(标题+正文),生成图片卡片(封面+正文卡片),以及发布小红书笔记。
tools
This skill should be used when the user wants to publish an existing Markdown article to Xiaohongshu as a private longform post, keep the original wording and structure, insert inline images in order, use one-click layout, and verify the result in note manager.
testing
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
development
Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45). Enforce strict per-segment structure (timestamp range + bold segment title + 2-paragraph body: first-person creator summary + expert 【导师评注】 critique with uncertainty handling). Use when the user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结, and optionally wants a clean PDF export (do NOT include the full raw transcript in the PDF unless explicitly requested).