Scientific Peer Review
技能 已验证 活跃Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.
To guide users in performing rigorous, structured, and constructive peer reviews of scientific manuscripts and grant proposals.
功能
- Structured evaluation workflow for manuscripts and grants
- Detailed guidance on methodological and statistical rigor
- Compliance checklist for reporting standards (CONSORT, STROBE, PRISMA)
- Comprehensive assessment of figures, data presentation, and ethical considerations
- Guidance on structuring review reports and maintaining a constructive tone
使用场景
- Reviewing scientific manuscripts for journal submission
- Evaluating grant proposals for funding agencies
- Assessing the methodological soundness of research studies
- Providing constructive feedback on scientific writing and data presentation
非目标
- Evaluating claims/evidence quality (use scientific-critical-thinking)
- Quantitative scoring frameworks (use scholar-evaluation)
- Generating scientific schematics (use scientific-schematics skill)
工作流
- Stage 1: Initial Assessment
- Stage 2: Detailed Section-by-Section Review
- Stage 3: Methodological and Statistical Rigor
- Stage 4: Reproducibility and Transparency
- Stage 5: Figure and Data Presentation
- Stage 6: Ethical Considerations
- Stage 7: Writing Quality and Clarity
- Structure Peer Review Reports
- Final Checklist Verification
实践
- Scientific Writing
- Research Methodology
- Peer Review
- Grant Writing
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
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