Individual skill
research-data-analysis
Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation. Use for CFD, laboratory data, ML workflows, parameter studies, or research code.
skills/research-data-analysis/SKILL.md
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- agentic-ai Repository topic
- mechanical-engineering Repository topic
- research Repository topic
- skill-md Repository topic
- thermal-fluid Repository topic
- plugin Repository topic
- academic-writing Repository topic
- cfd Repository topic
- claude-code Repository topic
- data-analysis Repository topic
- engineering Derived category
- design Derived category
- data Derived category
- research Derived category
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SKILL.mdcore · 2,256 bytesagents/openai.yamlasset · 322 bytesreferences/ai-tools-thermal-fluids.mddoc · 7,877 bytesreferences/research-coding.mddoc · 7,026 bytesreferences/technical-writing-analysis.mddoc · 8,764 bytes
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# Research Data Analysis
## Purpose
Produce understanding, not an exhaustive parameter sweep. Use a detailed baseline case to demonstrate the measurement/model chain, then choose experiments or simulations that can prove or disprove a stated hypothesis.
## Route To References
- For baseline-first DOE, figure discussion, and technical analysis structure, read `references/technical-writing-analysis.md`.
- For reproducible research code and data pipelines, read `references/research-coding.md`.
- For AI/ML-assisted thermal-fluid analysis, read `references/ai-tools-thermal-fluids.md`.
## Hypothesis-Driven DOE
