skills.rest
t2ance
t2anceCOMMUNITY
Explore all skills by this author →
GitHub

inno-experiment-analysis

Analyze ML experiment logs and generate statistical results and figures.

Updated Aug 23, 2026
Search Tags:#visualization#statistics#reproducibility#results-writing#ml-research#experimental-analysis
One-click install
npx skills add https://github.com/t2ance/dr-claw-plugin --skill inno-experiment-analysis-t2ance
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inno-experiment-analysis
Source: https://github.com/t2ance/dr-claw-plugin/tree/main/plugins/inno-research-pipeline/skills/inno-experiment-analysis
Command: npx skills add https://github.com/t2ance/dr-claw-plugin --skill inno-experiment-analysis-t2ance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Experimental results are often scattered across files and notes, making it hard to derive reliable conclusions and write a crisp Results section.

Core Features & Use Cases

  • Statistical analysis pipeline: load results from CSV/JSON or TensorBoard logs, compute descriptive statistics, perform significance tests, and report effect sizes.
  • Visualization & reporting: generate vector-format figures and a ready-to-use Results draft that can be inserted into papers.
  • Workflow integration: coordinates data loading, validation, analysis, visualization, and writing to streamline paper generation.

Quick Start

Run the analysis workflow on your experiment results to generate an analysis-report.md, a results-draft.md, and a visualization-specs.md.

Frequently Asked Questions about inno-experiment-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze ML experiment results and write a publication-ready Results section?▼

Analyze ML experiment results by loading CSV/JSON logs or TensorBoard curves, running statistical tests, and generating a ready-to-use draft Results section with publication-quality figures.

What statistical tests can I use to evaluate cross-model ablation performance?▼

Evaluate cross-model ablation performance using t-tests, ANOVA, or non-parametric options, and compute descriptive statistics alongside effect size calculations to validate experimental significance.

Does this experimental analysis workflow support TensorBoard curve data?▼

Yes, the experimental analysis workflow supports TensorBoard curve data alongside CSV and JSON logs, applying data validation to parse training curves for downstream statistical analysis.

How do I generate vector-format figures from machine learning experiment logs?▼

Generate vector-format figures from machine learning experiment logs by running the analysis workflow, which produces visualization specs and publication-quality charts directly from your validated data.

What's the best way to ensure reproducibility when translating ML experiments into insights?▼

Ensure reproducibility by applying the workflow's data validation during loading, computing standardized descriptive statistics, and outputting structured analysis reports alongside your visualization specs.

Can I produce a coherent cross-dataset ablation report from scattered experimental results?▼

Yes, you can produce a coherent cross-dataset ablation report by loading scattered experimental results, applying statistical significance tests across models, and generating a unified draft analysis report.

Related Skills

Explore More Education & Research Skills→
handsomelong922handsomelong922

tensorboard

Visualize and profile ML training runs with configurable logging.

Community
Advanced
OpenLAIROpenLAIR
1.0k

inno-experiment-analysis

Analyze ML/AI experimental results and generate publication-ready analyses.

Official
Advanced
kngender5kngender5

weights-and-biases

Automate experiment tracking, model versioning, and visualization for ML projects with wandb.

Community
Advanced
Light0305Light0305
514

light-result-analysis

Analyze experimental results with statistical tests and generate publication-ready reports.

Community
Advanced