inno-experiment-analysis
OfficialTurn ML results into publish-ready analyses.
Data & Analytics#visualization#statistics#reproducibility#ml#experiment-analysis#results#paper-writing
AuthorOpenLAIR
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Researchers often spend excessive time analyzing ML/AI experimental results and turning them into publication-ready content. This skill provides a structured, end-to-end workflow to load results, validate data, perform statistical analyses, generate publication-quality visualizations, and compose the Results section.
Core Features & Use Cases
- End-to-end experimental results analysis workflow including data loading, validation, statistical testing, visualization, and writing.
- Generation of publication-ready outputs such as analysis reports, draft results, and visualization specifications.
- Multi-dataset and ablation support with rigorous statistical comparisons to help researchers demonstrate robustness.
Quick Start
Run the analysis by supplying the path to your experiment results with the /analyze-results command.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: inno-experiment-analysis Download link: https://github.com/OpenLAIR/dr-claw/archive/main.zip#inno-experiment-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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