Productivity⚡ LLMDB Original
29 copiesStreaming Pipeline Anomaly Detection Prompt
Real-time anomaly detection in streaming data pipelines (e.g., Kafka, Flink) from log events.
Works with: Claude · GPTAdded Jul 26, 2026
Productivity & OpsGPTClaudeGemini
Meeting Action-Item Extractor
Use case: Extracting clean task checklists from messy meeting transcript text
600 copies•3,600 views•38 words•Created Jun 14, 2026
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WHAT THIS PROMPT DOES
- Designed to solve: Extracting clean task checklists from messy meeting transcript text
- Recommended engine compatibility: Runs best on GPT or Claude 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 meeting transcript:
"{{transcript}}"
Extract all actionable next steps. Organize the output into a clean table with columns: [Action Item, Assigned Owner, Target Deadline, Priority (High/Medium/Low)]. Highlight items containing unresolved issues with an asterisk.This prompt has 1 variable(s):
EXAMPLE OUTPUT
| Action Item | Assigned Owner | Target Deadline | Priority |
|---|---|---|---|
| Write SEO Blog Outline | Sarah | Friday | High |
| Deploy sandbox server | David | Next Wednesday | High * |
| Refine Paddle pricing matrix | Jessica | Ongoing | Medium |
Generated using GPTOutputs may vary. Always review AI-generated content.
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