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Analyze Results | Skills Pool

技能档案

Analyze Results

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

wanshuiyin6,975 星标2026年3月10日

职业
分类: 实验室工具

技能内容

Analyze Experiment Results

Analyze: $ARGUMENTS

Workflow

Step 1: Locate Results

Find all relevant JSON/CSV result files:

Check figures/, results/, or project-specific output directories
Parse JSON results into structured data

Step 2: Build Comparison Table

Organize results by:

Independent variables: model type, hyperparameters, data config
Dependent variables: primary metric (e.g., perplexity, accuracy, loss), secondary metrics
Delta vs baseline: always compute relative improvement

Step 3: Statistical Analysis

If multiple seeds: report mean +/- std, check reproducibility
If sweeping a parameter: identify trends (monotonic, U-shaped, plateau)

相关技能

快速安装

Analyze Results

npx skillvault add wanshuiyin/wanshuiyin-auto-claude-code-research-in-sleep-skills-analyze-results-skill-md

下载 Skill 打开源码仓库

作者: wanshuiyin
星标: 6,975
更新时间: 2026年3月10日
职业

本页内容

01Analyze Experiment Results

Flag outliers or suspicious results

Step 4: Generate Insights

For each finding, structure as:

Observation: what the data shows (with numbers)
Interpretation: why this might be happening
Implication: what this means for the research question
Next step: what experiment would test the interpretation

Step 5: Update Documentation

If findings are significant:

Propose updates to project notes or experiment reports
Draft a concise finding statement (1-2 sentences)

Output Format

Always include:

Raw data table
Key findings (numbered, concise)
Suggested next experiments (if any)

02

Workflow

03Step 1: Locate Results

04Step 2: Build Comparison Table

05Step 3: Statistical Analysis

06Step 4: Generate Insights

07Step 5: Update Documentation

08Output Format

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