Skills survey-analysis

AI-powered survey response analysis. Analyzes open-ended survey responses, clusters themes, detects sentiment, and generates actionable insights. Uses BERTopic + GPT-4o-mini.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/1477009639zw-blip/betasurvey" ~/.claude/skills/clawdbot-skills-survey-analysis && rm -rf "$T"

manifest: skills/1477009639zw-blip/betasurvey/SKILL.md

source content

Survey Response Analysis Tool

AI-powered analysis of open-ended survey responses. Clusters themes, detects sentiment, generates actionable insights.

Usage

python3 analyze.py --input responses.csv --output report.md

Input CSV Format

respondent_id,response
1,"The product is great but delivery is slow"
2,"Amazing quality, fast shipping"
3,"Good but expensive"

Output

# Survey Analysis Report

## Sentiment Distribution
- Positive: 60%
- Neutral: 25%  
- Negative: 15%

## Top Themes
1. Delivery Speed (mentioned 45%)
2. Product Quality (mentioned 38%)
3. Price Value (mentioned 22%)

## Action Items
- Improve delivery logistics
- Maintain quality standards

Notes

Requires: python3, pandas, openai (or Anthropic API key)