paper-reviewer

Included with Lifetime

$97 forever

Comprehensive pre-submission review orchestrator. Coordinates methodology checks, bias detection, AI text detection, statistical validation, and reporting guideline compliance for journal submissions.

Data & Analytics

What this skill does


# Paper Reviewer

Comprehensive pre-submission review for journal manuscripts. Orchestrates multiple specialized skills from research-assistant to ensure publication readiness.

## When to Use

- Before submitting papers to journals
- After completing systematic reviews
- When preparing dissertation chapters for committee
- For quality assurance on research manuscripts

## Features

1. **AI Text Detection** - Identify LLM-generated patterns
2. **Methodology Assessment** - Verify research design rigor
3. **Bias Detection** - Apply RoB 2, ROBINS-I, QUADAS-2 frameworks
4. **Statistical Validation** - Check assumptions, effect sizes, power analysis
5. **Reporting Compliance** - Validate CONSORT, PRISMA, STROBE guidelines
6. **Citation Integrity** - Verify references, check for retractions
7. **Reproducibility Audit** - Assess code/data availability

## Usage

```
Review the manuscript at ~/Documents/submissions/AffectivePrompting/ for journal submission.
This is a systematic review targeting IEEE Transactions.
```

## Review Pipeline

### Phase 1: Triage
- Classify paper type (RCT, systematic review, observational, etc.)
- Identify target journal requirements
- List available files

### Phase 2: AI Detection
- Run ai-check skill
- Flag sections with AI patterns >30%
- Generate authenticity report

### Phase 3: Methodology
- Assess study design appropriateness
- Verify protocol adherence
- Check randomization/blinding (if applicable)

### Phase 4: Risk of Bias
- Apply appropriate RoB tool
- Document domain-by-domain assessment
- Generate traffic light visualization

### Phase 5: Statistical Validation
- Verify assumption testing
- Check effect size reporting
- Validate power analysis

### Phase 6: Reporting Compliance
- Apply appropriate checklist (CONSORT/PRISMA/STROBE)
- Calculate compliance percentage
- List missing items

### Phase 7: Citation Audit
- Verify all references
- Check for retractions
- Validate DOIs

### Phase 8: Reproducibility
- Check code availability
- Verify data accessibility
- Assess documentation completeness

## Output

Generates comprehensive review report:
- Executive summary with overall assessment
- Section-by-section findings
- Priority-ranked revision checklist
- Detailed appendices

## Paper Type-Specific Workflows

### Systematic Reviews
- PRISMA 2020 compliance
- AMSTAR 2 quality assessment
- Meta-analysis validation

### RCTs
- CONSORT compliance
- RoB 2 bias assessment
- ITT/per-protocol analysis check

### Observational Studies
- STROBE compliance
- ROBINS-I bias assessment
- Confounding control verification

## Integration

Uses research-assistant skills:
- ai-check
- risk-of-bias
- hypothesis-test
- effect-size
- power-analysis
- publication-prep
- citation-format
- prisma-diagram

## Configuration

Default thresholds (can override):
- AI detection: 30% (flag if higher)
- Reporting compliance: 85% minimum
- All 8 phases enabled by default

---

*Part of ai_scientist research workflow automation*

Files: 1

Size: 3.2 KB

Complexity: 12/100

Category: Data & Analytics

Source: https://github.com/astoreyai/claude-skills/tree/main/paper-reviewer

Related in Data & Analytics

clawarr-suite

Included

Comprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).

Data & Analyticsscripts

querying-soql

Included

SOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.

Data & Analyticsscripts

app-store-optimization

Included

App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.

Data & Analyticsscripts

habit-flow

Included

AI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.

Data & Analyticsscripts

app-store-optimization

Included

Data & Analyticsscripts

visualizing-data

Included

Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.

Data & Analyticsscripts