write-findings

What problem does it solve?

This Skill addresses the challenge of clearly and effectively documenting experimental findings, analysis results, and insights, ensuring that discoveries are communicated in a structured, evidence-based, and actionable manner.

Core Features & Use Cases

• Structured Reporting: Generates comprehensive reports following a defined structure (Executive Summary, Background, Methodology, Results, Analysis, Limitations, Conclusions, Recommendations).
• Evidence Linking: Ensures all claims are backed by references to specific artifacts like CSV tables, JSON metrics, figures, and logs.
• Use Case: After running a complex machine learning experiment, use this Skill to compile a publication-quality report detailing the methodology, presenting the performance metrics with confidence intervals, analyzing the results, and outlining future recommendations.

Quick Start

Use the write-findings skill to create a report for the experiment detailed in the 'final_results.md' file.