results-analysis
CommunityTurn experimental results into publication-ready insights.
Data & Analytics#visualization#statistics#reproducibility#experiments#results-analysis#paper-writing
Authorxlx777
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a structured workflow to transform raw experimental results into a formal analysis, complete with statistical tests, visualizations, and a ready-to-write Results section, reducing manual drafting time.
Core Features & Use Cases
- Automates data loading from common formats (CSV/JSON) and validates experimental setups.
- Performs statistical analysis (t-tests, ANOVA, non-parametric tests) with effect sizes and multiple comparison corrections.
- Generates publication-ready artifacts including analysis-report.md, results-draft.md, and visualization-specs.md, plus guidance aligned with ml-paper-writing.
Quick Start
Submit your experiment results folder to the analysis workflow to generate an analysis report, visualization specs, and a results draft.
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: results-analysis Download link: https://github.com/xlx777/ccg-scholar/archive/main.zip#results-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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