Skills claude-scientific-skills
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claude-scientific-skills

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Conduct scientific research and analysis

Researchers face overwhelming literature and complex data analysis challenges. This skill provides structured methodologies for literature review, experimental design, and statistical analysis to accelerate scientific discovery.

Supports: Claude Codex Code(CC)
📊 70 Adequate
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Test it

Using "claude-scientific-skills". Analyze this abstract for key contributions and limitations

Expected outcome:

A structured breakdown identifying the novel methodology, sample characteristics, main findings, and potential confounding factors

Using "claude-scientific-skills". Suggest improvements to this research design

Expected outcome:

Numbered recommendations covering control variables, sample size considerations, and validity threats with supporting rationale

Security Audit

Safe
v1 • 2/25/2026

Static analysis flagged URLs in documentation as potential network risks, but these are reference links in markdown text, not executable network code. The skill contains only documentation with no executable scripts, external commands, or actual network operations. All findings are false positives.

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Files scanned
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findings
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Total audits
No security issues found
Audited by: claude

Quality Score

38
Architecture
95
Maintainability
87
Content
36
Community
100
Security
83
Spec Compliance

What You Can Build

Graduate Student Literature Review

Systematically analyze and synthesize academic papers for thesis research

Research Proposal Development

Structure research questions, hypotheses, and methodology sections for grant applications

Data Analysis Planning

Design appropriate statistical approaches and interpret analytical results

Try These Prompts

Basic Literature Summary
Summarize the key findings from this abstract and identify the main research contribution: [paste abstract]
Comparative Analysis
Compare the methodologies used in these three papers on [topic]. What are the strengths and limitations of each approach?
Research Gap Identification
Based on this literature summary, what unanswered questions remain? Suggest three specific research directions that would advance this field.
Statistical Analysis Planning
I have a dataset with [describe variables and sample size]. My research question is [question]. What statistical tests are appropriate, and what assumptions must I verify?

Best Practices

  • Always verify AI-generated citations against original sources before publication
  • Use structured prompts with specific context about your research domain and constraints
  • Cross-reference statistical recommendations with domain-specific methodology literature

Avoid

  • Do not rely solely on AI for critical research decisions without expert validation
  • Avoid submitting AI-generated text without thorough review and proper attribution
  • Do not share unpublished data or confidential research information in prompts

Frequently Asked Questions

Can this skill access academic databases like PubMed or Web of Science?
No, the skill cannot access external databases. You must provide the paper content or abstracts you want analyzed.
Is the output suitable for direct inclusion in academic publications?
Output should be used as a starting point and heavily revised. Always maintain your own voice and verify all claims.
Can this skill perform statistical calculations?
No, it provides guidance on appropriate statistical methods but does not execute calculations. Use statistical software for actual analysis.
How should I cite assistance from this skill in my research?
Follow your institution or journal guidelines. Generally, acknowledge AI assistance in methods or acknowledgments sections.
Can this help with writing grant proposals?
Yes, it can help structure research aims, significance sections, and methodology descriptions for grant applications.
What research domains does this skill support?
The skill provides general research methodology guidance applicable across sciences, but domain-specific expertise should supplement its recommendations.