Use this skill for tasks that mention datasets, previews, CSV files, models, or generated artifacts. 1. Inspect the payload, folder tree, preview rows, and requested output paths. 2. Propose a reproducible script layout before modeling. 3. Choose baselines and metrics appropriate to the domain. 4. Validate by checking file existence, schema, row counts, value ranges, and leakage risks. 5. Save generated artifacts under `/app` unless the task explicitly asks for another path.
Scanned 9/11/2026
Install to Claude Code
Skills Directorynpx -y skills add gtynnn060110-hash/continual-skill-bench-final --skill scientific-data-analysis --agent claude-codeInstalls into .claude/skills of the current project.
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# Scientific Data Analysis
Use this skill for tasks that mention datasets, previews, CSV files, models, or generated artifacts.
1. Inspect the payload, folder tree, preview rows, and requested output paths.
2. Propose a reproducible script layout before modeling.
3. Choose baselines and metrics appropriate to the domain.
4. Validate by checking file existence, schema, row counts, value ranges, and leakage risks.
5. Save generated artifacts under `/app` unless the task explicitly asks for another path.
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