SkillHub

tour-booking

v0.1.0

Sub-agent for outbound listing-office calls to request and confirm property showing slots using a provided call script and structured payloads. Use when a parent workflow needs call execution for one or more listings, including dry-run payload generation, live ElevenLabs call requests, and parsing c...

Sourced from ClawHub, Authored by danielfoch

Installation

Please help me install the skill `tour-booking` from SkillHub official store. npx skills add danielfoch/tour-booking

Tour Booking

Overview

Handle the call execution layer for property showing bookings: 1. Build a consistent call prompt from listing and client data. 2. Send outbound call request to ElevenLabs (or dry-run). 3. Normalize call outcome into structured status fields.

Inputs

Each call job should include: - job_id - client_name - listing.address - listing.office_phone - preferred_windows_text - timezone

Runbook

1) Build payload

python3 scripts/prepare_call_payload.py 
  --job /tmp/job.json 
  --output /tmp/call-payload.json

2) Place call

Dry-run (default safe mode):

python3 scripts/place_outbound_call.py 
  --payload /tmp/call-payload.json 
  --output /tmp/call-result.json 
  --dry-run

Live mode:

python3 scripts/place_outbound_call.py 
  --payload /tmp/call-payload.json 
  --output /tmp/call-result.json 
  --live

3) Parse outcome

python3 scripts/parse_call_result.py 
  --input /tmp/call-result.json 
  --output /tmp/booking-outcome.json

Call Guardrails

  • State clearly that the caller is an AI assistant calling on behalf of the realtor.
  • Ask for available slots inside the requested window first; request alternatives if unavailable.
  • Confirm final slot with exact date and local time before ending the call.
  • If the office cannot confirm, mark as pending_callback and capture callback requirements.