LaunchKit · 2026
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gift-genius

Location-aware Valentine's Day gift finder.

0
1.2k downloads
by @evoleinik

Setup & Installation

openclaw skills install @evoleinik/gift-genius

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install gift-genius

Version History

v4.0.0Feb 12, 2026 - Version note by skill developer:

v4.0.0: MAJOR - Added Daniel Wellington watches (182) and Beardbrand men's grooming (67). Now 8 gift categories with 2,099 products across 12 merchants. Full Valentine's gift suite for him & her.

What This Skill Does

Gift Genius finds Valentine's Day gifts by routing users to local florists and gift merchants based on location. It covers 2,099 products across flowers, chocolates, jewelry, candles, fragrances, and grooming from 10 merchants across the US, Singapore, Australia, Malaysia, and Europe. Returns 2-3 curated options with recipient matching, color preferences, and delivery timing.

Returns 2-3 matched picks with recipient-specific filters and direct checkout links instead of presenting hundreds of results to scroll through.

When to use it

  • Finding flowers for a wife with a $150 budget
  • Sending same-day Valentine's flowers before the noon delivery cutoff
  • Ordering flowers for a partner in Singapore from a different country
  • Choosing between jewelry and chocolates as a combo gift for a girlfriend
  • Picking orchids for a mom who wants something that lasts longer than a week

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: I need flowers for my wife, around $120

AGENT
  1. 1Detect user location and select the regional merchant (UrbanStems for US)
  2. 2Query the AirShelf API with recipient-matched terms and the stated budget range
  3. 3Filter results using the ideal_for field targeting wife or long-term partner
  4. 4Format 2 options with colors, vibe, longevity, and same-day delivery availability
  5. 5Offer a direct checkout link and ask if the user wants to proceed
OUTPUT

Two flower recommendations with product links, decision pack details, and same-day delivery confirmation