LaunchKit · 2026
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bloom-taste-finder

Bloom Taste Finder — discover your builder taste across 4 spectrums and get a personalized tool stack.

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by @unicornbloom

Setup & Installation

openclaw skills install @unicornbloom/bloom-taste-finder

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

npx clawhub install bloom-taste-finder

What This Skill Does

Bloom Taste Finder analyzes your conversation history and USER.md to classify you into one of five supporter types and map your profile across four taste spectrums. It generates a personalized tool stack and creates a shareable identity card hosted on Bloom Protocol.

Derives recommendations from actual conversation patterns rather than self-reported surveys or generic category browsing.

When to use it

  • Identifying your builder archetype from existing chat history
  • Getting tool recommendations matched to your actual work patterns
  • Creating a shareable profile card for your developer identity
  • Discovering AI tools filtered by your personality and taste spectrums
  • Refreshing tool recommendations weekly as interests evolve

Example Workflow

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

INPUT

User asks: what's my bloom identity

AGENT
  1. 1Reads USER.md for declared role, tech stack, and interests
  2. 2Analyzes the last ~120 conversation messages for topics and engagement patterns
  3. 3Maps results to four taste spectrums: Learning, Decision, Novelty, and Risk
  4. 4Classifies user as one of five supporter types and selects top 5 tool matches
  5. 5Sends identity card to Bloom Protocol API and returns a shareable dashboard URL
OUTPUT

Identity card with supporter type, tagline, taste spectrum scores, top categories, 5 recommended tools, and a shareable link at bloomprotocol.ai