paper-review-pipelinelisted

# Paper Review Pipeline (ML Top Conferences) Run a *two-view* paper review for ML conference submissions: 1) **Section-by-section review** (Abstract → Intro → Method → Experiments → …) with concrete edits. 2) **Prioritized issue list** with **P0/P1/P2** severity, grouped by category, including recommended fixes and verification notes. This skill also supports **rebuttal / review response**: parse reviewer comments, classify, choose a strategy, and draft a professional point-by-point response. ## Parity Guarantee (No-Omission) 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. ## Execution Modes This skill supports two modes: - **Default: `targeted`** — run only the most relevant tracks based on the user request and inputs, but **always** produce the Final Synthesis. - **Optional: `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.md` - `references/report-template.md` ## Optional External Second Opinion (`paperreview`) If the user provides a n