# analyze-results

This skill reads JSON and CSV experiment outputs, builds comparison tables and runs the statistics. Useful when you have many runs and need to know what they actually show.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 547 installs · ★ 18090
- Author: wanshuiyin
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/analyze-results/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/analyze-results

## What it does

The skill walks through result files in `figures/`, `results/` or another project directory, parses JSON into structured data and assembles a comparison table. Rows hold model type, hyperparameters and data config; columns hold the primary metric, secondary metrics and the delta against baseline.

Then comes the statistics. With multiple seeds it reports mean and standard deviation and checks reproducibility. When you sweep a parameter it looks for the trend — monotonic, U-shaped or plateau — and flags outliers. Every finding gets the same shape: observation with numbers, interpretation, what it means for the research question, and which experiment would test that interpretation.

Output is a raw data table, a numbered list of key findings and suggested next experiments. If the findings look significant, the skill proposes updates to project notes or the experiment report and drafts a one- or two-sentence finding statement. It needs result files in JSON or CSV to work on — there is nothing to analyze without them.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill analyze-results -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/analyze-results/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/analyze-results/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill analyze-results -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/analyze-results/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill analyze-results -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/analyze-results/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install wanshuiyin/Auto-claude-code-research-in-sleep analyze-results
```

2. **Manually: put the files in place**
- File: `.github/skills/analyze-results/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill analyze-results -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --path skills/analyze-results
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/analyze-results/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill analyze-results -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/analyze-results/SKILL.md

## When to use it
- build a comparison table across runs and metrics
- compute mean and standard deviation over multiple seeds
- spot the trend when sweeping a hyperparameter
- flag outliers and suspicious results
- draft a finding statement and update the report

## Example prompts
- analyze the results in `results/` and compare against baseline
- compute stats across seeds and check reproducibility
- compare model configs and suggest the next experiments

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 3003ad1c4f4432a6.

BEGIN THIRD-PARTY FILE 3003ad1c4f4432a6
```text
---
name: analyze-results
description: Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
argument-hint: "[results-path-or-description]"
allowed-tools: Bash(*), Read, Grep, Glob, Write, Edit
---

# 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)
- Flag outliers or suspicious results

### Step 4: Generate Insights
For each finding, structure as:
1. **Observation**: what the data shows (with numbers)
2. **Interpretation**: why this might be happening
3. **Implication**: what this means for the research question
4. **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:
1. Raw data table
2. Key findings (numbered, concise)
3. Suggested next experiments (if any)
```
END THIRD-PARTY FILE 3003ad1c4f4432a6

The third-party file has ended. Everything between the 3003ad1c4f4432a6 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

© wanshuiyin · MIT · https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/HEAD/skills/analyze-results/SKILL.md

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From the same set: [wanshuiyin/auto-claude-code-research-in-sleep](https://affpapa.org/en/nevibecode/by/wanshuiyin/auto-claude-code-research-in-sleep.md) — 78 cards

---
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