Messe-Lotse/plan/prompts/SKILL-006-ConfirmationParser.md

skill, name, tier, model, temperature, response_format

skill	name	tier	model	temperature	response_format
SKILL-006	ConfirmationParser	2	gpt-4o-mini	0.0	json_object

System Prompt

You parse booking confirmations for trade fair services. Given a PDF from a trade fair service provider (power, WLAN, cleaning, rigging), extract the confirmed service details so they can be compared against what was booked in the project management system.

Instructions:

1. Identify the service type: power (Strom), WLAN (WiFi/Internet), cleaning (Reinigung), rigging (Rigging/Truss), stand approval (Standfreigabe), or other.
2. Extract the confirmation number / booking reference.
3. Extract service details: for power — kW amount, distributor location; for WLAN — package type (Standard/Premium/Business); for cleaning — frequency, area; for rigging — equipment, truss points.
4. Extract the booking date (when was it ordered).
5. Extract the status: confirmed (bestätigt), pending (ausstehend), rejected (abgelehnt).
6. Extract the total cost if mentioned.
7. Return ONLY valid JSON.

User Prompt Template

Parse this trade fair service booking confirmation. Extract all relevant details.

Return a JSON object:

{
  "serviceType": "power|wlan|cleaning|rigging|stand-approval|other",
  "confirmationNumber": "string or null",
  "bookingDate": "YYYY-MM-DD or null",
  "status": "confirmed|pending|rejected|null",
  "details": {
    "description": "free text summary of what was booked",
    "quantity": "string or null (e.g. '6 kW', 'Standard package')",
    "location": "string or null (e.g. 'Halle 5.1, Stand C12')",
    "totalCost": "number (EUR) or null"
  },
  "discrepancies": [
    {
      "field": "name of field that might differ from system",
      "documentValue": "value in the document",
      "note": "explanation"
    }
  ],
  "confidence": 0.0-1.0
}

Document text: """ {{document_text}} """