Results Analysis
Should be used when the user asks to "analyze experimental results", "run strict...
Install
npx skills add Galaxy-Dawn/claude-scholar --skill results-analysis -g -a claude-code -y- Repository
- Galaxy-Dawn/claude-scholar6k
- Category
- Data and ML
- Updated
- 16d ago
- License
- MIT
- Context cost
- Mediumabout 2,235 tokens
- Runs scripts
- No, instructions only
What it does
This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.
Results Analysis
Run strict, evidence-first experimental analysis for ML/AI research.
Use this skill to produce a strict analysis bundle:
analysis-report.mdstats-appendix.mdfigure-catalog.mdfigures/
When the user asks for review, audit, no-write, dry-run, or when inputs are incomplete, use read-only audit mode instead of producing files or figures. In that mode, output only valid/invalid statistics, blockers, claim candidates, and what evidence is missing. If invoked by /analyze-results, the command layer may write a blocker summary, but this skill should not create figures, reports, or polished conclusions from incomplete evidence.
Do not use this skill to draft a paper Results section or a full experiment wrap-up report. Those belong to ml-paper-writing or results-report.
Core contract
This skill is responsible for
- validating experiment artifacts and comparison units,
- running rigorous descriptive and inferential statistics,
- generating real scientific figures when data/logs are available,
- writing figure purposes, caption requirements, and interpretation checklists,
- surfacing limits, blockers, and missing evidence explicitly.
This skill is not responsible for
- paper-ready
Resultsprose, - manuscript narrative polishing,
- paper-ready figure/table packaging with
pubfig/pubtab, - project-level experiment retrospectives.
If the user wants the complete post-experiment summary report, hand off to results-report after this bundle is ready. If the user wants publication-grade figures/tables, export parameters, publication QA, or figure/table redesign, hand off to publication-chart-skill.
