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paper-review-pipeline

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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.

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Source SKILL.md: https://github.com/cnfjlhj/ai-collab-playbook/blob/HEAD/skills/full/paper-review-pipeline/SKILL.md

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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 near-final or final PDF, complete the local review first and then explicitly ask whether they also want an external second opinion via paperreview.

  • Ask only when the input is clearly a near-final or final PDF.
  • Do not auto-submit to external services. Get explicit confirmation first.
  • If the user agrees, hand off to paperreview as a follow-up step; otherwise finish with the local pipeline result only.

When to Use

  • Pre-submission quality check (ICML/ICLR/NeurIPS/AAAI).
  • After a draft is “mostly done” but clarity/logic is shaky.
  • When you suspect citation problems (missing, inconsistent, unverified, or claim-to-citation mismatch).
  • Before sending to advisor/collaborators for feedback (to reduce “obvious issues”).
  • After receiving reviews: draft rebuttal and a revision plan.

When NOT to Use

  • If the user wants new research or new experiments invented: require the user to provide results/artifacts.
  • If the user asks for verbatim PDF-to-LaTeX copying or large-scale reformatting without source.
  • If the task is pure BibTeX generation from memory: do not do it; use verified metadata workflows.

Non-Negotiable Guardrails

  1. No hallucinated citations.
    • If a citation cannot be verified, mark it as [CITATION NEEDED] / placeholder and tell the user explicitly.
    • Do not fabricate authors/years/venues/DOIs.
  2. Do not change technical meaning.
    • When proposing edits, preserve claims and numbers unless the user provides corrected data.
  3. Preserve LaTeX semantics when editing source.
    • Do not break \\cite{}, \\ref{}, \\label{}, math environments, figures/tables, or bibliography hooks.
  4. Respect blind review constraints (if applicable).
    • Avoid identity-revealing self-citations, acknowledgments, or repo links unless the user confirms it is camera-ready.

Inputs (Ask for the Minimum Needed)

For pre-submission review

  • Paper source: LaTeX section text, or the relevant excerpts pasted in chat (preferred), and optionally the PDF for context.
  • Target venue + track (ICML/ICLR/NeurIPS/AAAI) and any required sections (e.g., limitations / broader impact / ethics).
  • One-sentence contribution (if the user has it). If not, infer and ask for confirmation.

For rebuttal / review response

  • Reviewer comments (verbatim text, ideally grouped by reviewer).
  • Rebuttal constraints: word/page limit, formatting (ICLR OpenReview vs PDF), and timeline.
  • What the user is willing to change: “clarify only” vs “add experiments” vs “major rewrite”.

Output Contract (Always Produce Both Views)

View A — Section-by-Section Review

For each section, output:

  • What works (1–3 bullets)
  • What’s missing / unclear (P0/P1/P2 tagged bullets)
  • Concrete fixes (rewrite suggestions or structural moves)

Use the checklists in:

  • references/section-review-checklist.md

View B — P0/P1/P2 Issue List (Prioritized)

Format each issue like:

  • Priority: P0 (blocking) / P1 (important) / P2 (nice-to-have)
  • Category: Narrative / Evidence / Experimental Design / Statistics / Reproducibility / Citations / Writing / Figures-Tables / Format
  • Where: section name + a short quote anchor (or LaTeX label if available)
  • Problem
  • Fix
  • Verification (if needed): what evidence/log/search is required before claiming it is correct

Use the taxonomy in:

  • references/p0-p2-taxonomy.md

Modules (Routing Rules)

Use these modules to preserve legacy feature parity:

  • Paper-level QA: references/modules/paper-self-review.md
  • Rebuttal / review response: references/modules/review-response.md and references/rebuttal-workflow.md
  • LaTeX + BibTeX toolbox: references/modules/academic-paper-helper.md
  • Claim-level citation audit: references/modules/citation-validator.md and references/citation-integrity.md
  • Anti-AI polish: references/modules/writing-anti-ai.md
  • LaTeX rhythm pass: references/modules/latex-rhythm-refiner.md
  • Literature discovery (extended): references/modules/claude-scholar-ml-paper-writing.md

Workflow (Default)

Pass 0 — Triage (5–10 minutes)

  1. Identify the one-sentence contribution and confirm it with the user.
  2. Extract the top 3–7 claims the paper relies on.
  3. For each claim, note the current support:
    • empirical result (table/figure)
    • theorem/proof
    • citation / prior work
    • ablation / analysis
  4. Flag immediate P0 risks (typical: missing baselines, unclear experimental protocol, unverified citations, paper “about X” but experiments test Y).

Pass 1 — Section Review (primary deliverable)

Review sections in order (and check alignment between them):

  1. Abstract
  2. Introduction (motivation → gap → contribution bullets)
  3. Related Work (positioning + not a bibliography dump)
  4. Method (reproducible description + design justification)
  5. Experiments / Results (fair baselines + full setup + statistical reporting)
  6. Analysis / Ablations (claim-driven, not exploratory noise)
  7. Limitations / Broader Impact / Ethics (venue-dependent)
  8. Conclusion (tight restatement + constraints + future work without overclaim)

Pass 2 — Consolidate into P0/P1/P2

Turn findings into an actionable issue list:

  • P0 first (blockers / likely desk-reject causes)
  • P1 next (acceptance probability movers)
  • P2 last (polish)

Pass 3 (Optional) — Revision Plan

If the user wants an execution plan, produce:

  • 3–8 tasks with measurable acceptance criteria
  • suggested order (dependency-aware)
  • what can be done in parallel (writing vs experiments vs citations)

Full-Parallel Workflow (Comprehensive)

When mode is full-parallel, do not collapse everything into one voice. Instead:

  1. Run all tracks (A–G) as independent “mini-reviewers” and keep each track output visible.
  2. Then produce the Final Synthesis:
    • View A: consolidated section-by-section review
    • View B: consolidated P0/P1/P2 issue list
    • minimal revision plan
    • conflicts & resolutions between tracks

Use:

  • references/full-parallel-protocol.md
  • references/report-template.md

Rebuttal / Review Response Module

When reviews arrive, do:

  1. Parse and classify each comment: Major / Minor / Clarification / Missing baseline / Missing experiment / Writing / Citation / Misunderstanding.
  2. Choose a strategy per item: Accept + change, Clarify, Defend, Add experiment, Defer (explain constraints).
  3. Draft point-by-point responses with:
    • gratitude + precise restatement
    • what changed (or why not)
    • where to find it (section/figure/table)
    • evidence-based tone (no overpromising)

Use:

  • references/rebuttal-workflow.md

Citation Integrity Module (Hard Requirement)

Before submission, ensure:

  • every non-trivial factual claim has a citation or empirical evidence
  • every citation key resolves in the bibliography
  • any newly added citations are verified (paper exists; BibTeX not fabricated)

If deep citation audit is requested, follow:

  • references/citation-integrity.md