Productivity
600 copiesMeeting Action-Item Extractor
Extracting clean task checklists from messy meeting transcript text
Works with: GPT · Claude · GeminiAdded Jun 14, 2026
Productivity & OpsClaudeGPTGemini
JSON Schema Sentiment Analysis LLM Prompt
Use case: Structured sentiment analysis for customer feedback or social media monitoring.
0 copies•0 views•23 words•Created Jun 25, 2026
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WHAT THIS PROMPT DOES
- Designed to solve: Structured sentiment analysis for customer feedback or social media monitoring.
- Recommended engine compatibility: Runs best on Claude or GPT or Gemini
- Structure layout: Incorporates 1 custom input variable fields
- Execution output target: Generates structured markdown lists and blocks
PROMPT SOURCE CODE
Analyze the following text and return a JSON object with fields: sentiment (positive/negative/neutral), confidence (0-1), and up to 5 keywords. Input text: "{{text}}"This prompt has 1 variable(s):
EXAMPLE OUTPUT
For the input text "The product is amazing and I love it!", the output would be: { "sentiment": "positive", "confidence": 0.95, "keywords": ["product", "amazing", "love"] }
Generated using ClaudeOutputs may vary. Always review AI-generated content.
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