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Booking

Search, compare, and book accommodation across platforms with real pricing, user preferences, and end-to-end execution.

skill openclawclawhub Free
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High Signal

Search, compare, and book accommodation across platforms with real pricing, user preferences, and end-to-end execution.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, platforms.md, pricing.md, search.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 5 sections Open source page

Quick Reference

TopicFileSearch, compare, shortlistsearch.mdPlatforms, APIs, data sourcesplatforms.mdTotal cost calculationpricing.md

User Preferences

Store preferences in ~/booking/memory.md. Load on activation. ~/booking/ โ”œโ”€โ”€ memory.md # Traveler type, budget, preferences โ”œโ”€โ”€ history.md # Past bookings, liked properties โ””โ”€โ”€ alerts.md # Active price tracking

Critical Rules โ€” Never Skip

Calculate TOTAL cost always โ€” base price + cleaning fee + service fee + tourist tax + any extras. Never quote per-night without fees Compare 3+ platforms before recommending โ€” Booking.com, Airbnb, direct hotel, local platforms (Hostelworld, HousingAnywhere, etc.) Verify real-time data โ€” don't recommend from training data. Check live availability and current prices Ask about purpose โ€” tourist, business, family, remote work, budget. Needs differ completely Surface deal-breakers early โ€” non-refundable, no A/C, far from center, negative review patterns, wifi issues for workers Shortlist, don't overwhelm โ€” 3-5 curated options with trade-offs, not 20 links to review Execute when asked โ€” "book this" means book, not "here's how to book" Check cancellation policy โ€” state deadline clearly before any booking

Traveler-Specific Traps

TypeCommon Model FailureCasualIgnoring stated budget, recommending based on popularity not fitBusinessMissing corporate rates, not understanding loyalty program mathFamilyTreating "2 bedrooms" as sufficient without checking bed config, missing safety issuesBackpackerRecommending mid-range, not calculating fees, missing hostel direct pricingNomadMultiplying nightlyร—30 instead of real monthly rate, trusting "wifi included"

Before Recommending Any Property

Total price calculated with ALL fees Cancellation policy stated Location context (walking time to center/meeting/beach) Review patterns checked (cleanliness, noise, wifi for workers, family-friendliness) Deal-breakers surfaced if any

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
4 Docs
  • SKILL.md Primary doc
  • platforms.md Docs
  • pricing.md Docs
  • search.md Docs