Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Show Booking
Book real estate showing tours from emailed or pasted listing details, including extracting listing data, preparing outbound call jobs, coordinating a callin...
skill openclawclawhub Free
Book real estate showing tours from emailed or pasted listing details, including extracting listing data, preparing outbound call jobs, coordinating a callin...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, references/email-intake-template.md, references/integration-notes.md, scripts/create_invite_ics.py, scripts/intake_request.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- danielfoch
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Overview
Execute an end-to-end workflow for showing requests: Parse intake from free-form prompt or email text. Build per-listing call jobs. Hand off call execution to the tour-booking sub-agent. Generate calendar invite files from confirmed slots. Return a concise confirmation summary.
Inputs
Collect these fields before running outbound calls: Client full name. Listings (address, listing ID if present, office phone, listing office/agent name if present). Preferred windows and timezone. Booking constraints (lockbox notes, occupants, minimum notice). Confirmation target (email/SMS destination for status updates). If any listing is missing a phone number, flag it as blocked and do not place calls for that listing.
1) Parse intake
Run: python3 scripts/intake_request.py --input-file /path/to/intake.txt --output /tmp/showing-intake.json Or pass inline text: python3 scripts/intake_request.py --input-text "Book showings for ..." --output /tmp/showing-intake.json
2) Build call queue
Run: python3 scripts/orchestrate_showings.py --intake /tmp/showing-intake.json --output /tmp/showing-plan.json This produces: call_queue: listings with phone numbers ready for calls. blocked: listings missing required data. calendar_candidates: records ready for invite creation after call confirmation.
3) Delegate calling to tour-booking
For each call_queue record, invoke tour-booking/scripts/place_outbound_call.py with: Listing metadata. Preferred windows. Client identity. Callback instructions. If live calling is not approved, run with --dry-run and return the generated payload.
4) Create invites for confirmed slots
When a listing returns a confirmed date/time: python3 scripts/create_invite_ics.py \ --input /tmp/confirmed-showings.json \ --output-dir /tmp/showing-invites The script emits one .ics file per confirmed showing. Import into Google Calendar or send directly as attachments.
5) Return status
Report: Confirmed showings with time, address, and invite file path. Pending callbacks. Blocked listings and the missing field(s). Total calls attempted and success/failure counts.
Guardrails
Explicitly identify the caller as an AI assistant acting for the brokerage/realtor. Respect local telemarketing and consent requirements. Keep a full audit trail: request payload, call result, booking outcome, and timestamps. Never claim a showing is confirmed until the call result explicitly indicates confirmation.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs2 Scripts1 Config
- SKILL.md
- references/email-intake-template.md
- references/integration-notes.md
- scripts/create_invite_ics.py
- scripts/intake_request.py
- agents/openai.yaml