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academic-paper-reviewer

The Academic Paper Reviewer simulates a complete international journal peer review process by automatically identifying a paper's field and configuring five independent reviewers (Editor-in-Chief, three peer reviewers, and a Devil's Advocate) who evaluate methodology, domain expertise, cross-disciplinary perspectives, and core arguments. Use this skill when submitting manuscripts for comprehensive feedback, verifying whether revisions addressed reviewer comments, or learning how professional peer review functions across different academic disciplines.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/Imbad0202/academic-research-skills /tmp/academic-paper-reviewer && cp -r /tmp/academic-paper-reviewer/academic-paper-reviewer ~/.claude/skills/academic-paper-reviewer
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Academic Paper Reviewer v1.10.0 — Multi-Perspective Academic Paper Review Agent Team

Simulates a complete international journal peer review process: automatically identifies the paper's field, dynamically configures 5 reviewers (Editor-in-Chief + 3 peer reviewers + Devil's Advocate) who review from four non-overlapping perspectives — methodology, domain expertise, cross-disciplinary viewpoints, and core argument challenges — ultimately producing a structured Editorial Decision and Revision Roadmap.

**v1.1 Improvements**:
1. Added Devil's Advocate Reviewer — specifically challenges core arguments, detects logical fallacies, and identifies the strongest counter-arguments
2. Added `re-review` mode — verification review, focused on checking whether revisions address the review comments
3. Expanded review team from 4 to 5 members

> **Routing discipline (v3.9.2):** see `.claude/CLAUDE.md` "Routing Discipline (v3.9.2)" + `shared/references/intent_clarification_protocol.md` for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream.

---

## Quick Start

**Simplest command:**
```
Review this paper: [paste paper or provide file]
```

**Output:**
1. Automatically identifies the paper's field and methodology type
2. Dynamically configures the specific identities and expertise of 5 reviewers
3. 5 independent review reports (each from a different perspective)
4. 1 Editorial Decision Letter + Revision Roadmap

---

## Trigger Conditions

### Trigger Keywords

**English**: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy

### Non-Trigger Scenarios

| Scenario | Skill to Use |
|----------|-------------|
| Need to write a paper (not review) | `academic-paper` |
| Need in-depth investigation of a research topic | `deep-research` |
| Need to revise a paper (already have review comments) | `academic-paper` (revision mode) |

### Quick Mode Selection Guide

| Your Situation | Recommended Mode | Spectrum |
|----------------|-----------------|----------|
| Need comprehensive review (first submission) | full | balanced |
| Checking if revisions addressed comments | re-review | fidelity |
| Quick quality assessment (15 min) | quick | fidelity |
| Focus only on methods/statistics | methodology-focus | fidelity |
| Want to learn by doing (guided review) | guided | originality |
| Want to know this reviewer's own error profile before trusting its scores | calibration | fidelity |

**Spectrum** (v3.2): *fidelity* = template-heavy, predictable output; *balanced* = default; *originality* = exploratory, template-light. See `shared/mode_spectrum.md` for the full cross-skill spectrum table.

Not sure? Use `full` for pre-submission review, `re-review` for post-revision verification. `calibration` is opt-in — run it once per domain when you want to know the reviewer's FNR/FPR before relying on its rubric scores.

---

## Agent Team (7 Agents)

| # | Agent | Role | Phase |
|---|-------|------|-------|
| 1 | `field_analyst_agent` | Analyzes the paper's field, dynamically configures 5 reviewer identities | Phase 0 |
| 2 | `eic_agent` | Journal Editor-in-Chief — journal fit, originality, overall quality | Phase 1 |
| 3 | `methodology_reviewer_agent` | Peer Reviewer 1 — research design, statistical validity, reproducibility | Phase 1 |
| 4 | `domain_reviewer_agent` | Peer Reviewer 2 — literature coverage, theoretical framework, domain contribution | Phase 1 |
| 5 | `perspective_reviewer_agent` | Peer Reviewer 3 — cross-disciplinary connections, practical impact, challenging fundamental assumptions | Phase 1 |
| 6 | **`devils_advocate_reviewer_agent`** | **Devil's Advocate — core argument challenges, logical fallacy detection, strongest counter-arguments** | **Phase 1** |
| 7 | `editorial_synthesizer_agent` | Synthesizes all reviews, identifies consensus and disagreements, makes editorial decision | Phase 2 |

---

## Orchestration Workflow (3 Phases)

```
User: "Review this paper"
     |
=== Phase 0: FIELD ANALYSIS & PERSONA CONFIGURATION ===
     |
     +-> [field_analyst_agent] -> Reviewer Configuration Card (x5)
         - Reads the complete paper
         - Identifies: primary discipline, secondary discipline, research paradigm, methodology type, target journal tier, paper maturity
         - Dynamically generates specific identities for 5 reviewers:
           * EIC: Which journal's editor, area of expertise, review preferences
           * Reviewer 1 (Methodology): Methodological expertise, what they particularly focus on
           * Reviewer 2 (Domain): Domain expertise, research interests
           * Reviewer 3 (Perspective): Cross-disciplinary angle, what unique perspective they bring
           * Devil's Advocate: Specifically challenges core arguments, detects logical gaps
     |
     ** Presents Reviewer Configuration to user for confirmation (adjustable) **
     |
=== Phase 1: PARALLEL MULTI-PERSPECTIVE REVIEW ===
     |
     |-> [eic_agent] -------> EIC Review Report
     |   - Journal fit, originality, significance, relevance to readership
     |   - Does not go deep into methodology (that's Reviewer 1's job)
     |   - Sets the review tone
     |
     |-> [methodology_reviewer_agent] -> Methodology Review Report
     |   - Research design rigor, sampling strategy, data collection
     |   - Analysis method selection, statistical validity, effect sizes
     |   - Reproducibility, data transparency
     |
     |-> [domain_reviewer_agent] -------> Domain Review Report
     |   - Literature review completeness, theoretical framework appropriateness
     |   - Academic argument accuracy, incremental contribution to the field
     |   - Missing key references
     |
     |-> [perspective_reviewer_agent] --> Perspective Review Report
     |   - Cross-disciplinary connections an
academic-paperSkill

12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.

academic-pipelineSkill

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.

ars-abstractSlash Command

ARS academic-paper `abstract-only` mode — bilingual abstract + keywords

ars-cache-invalidateSlash Command

ARS /ars-cache-invalidate — drop cached verification entries for a citation key

ars-citation-checkSlash Command

ARS academic-paper `citation-check` mode — citation error report

ars-disclosureSlash Command

ARS academic-paper `disclosure` mode — venue-specific AI-usage statement

ars-format-convertSlash Command

ARS academic-paper `format-convert` mode — convert to LaTeX / DOCX / PDF / Markdown

ars-fullSlash Command

ARS full pipeline — research → write → review → revise → finalize