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.
Best use case
survey-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
AI-powered survey response analysis. Analyzes open-ended survey responses, clusters themes, detects sentiment, and generates actionable insights. Uses BERTopic + GPT-4o-mini.
Teams using survey-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/betasurvey/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How survey-analysis Compares
| Feature / Agent | survey-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
AI-powered survey response analysis. Analyzes open-ended survey responses, clusters themes, detects sentiment, and generates actionable insights. Uses BERTopic + GPT-4o-mini.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Survey Response Analysis Tool AI-powered analysis of open-ended survey responses. Clusters themes, detects sentiment, generates actionable insights. ## Usage ```bash python3 analyze.py --input responses.csv --output report.md ``` ## Input CSV Format ```csv respondent_id,response 1,"The product is great but delivery is slow" 2,"Amazing quality, fast shipping" 3,"Good but expensive" ``` ## Output ```markdown # 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)
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