# bloom-taste-finder

> Use this tool when you need to discover your ideal software development approach and get personalized recommendations for tools and technologies that fit your style. It analyzes your preferences across four key spectrums to provide a tailored tool stack, helping you streamline your workflow and improve productivity. Ideal for developers, builders, and teams looking to optimize their development process and find the best tools for their needs.

Canonical page: https://skillsregistry.net/skills/unicornbloom-bloom-taste-finder  
JSON: https://api.skillsregistry.net/v1/skills/unicornbloom-bloom-taste-finder

## Description

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

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-17

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/unicornbloom-bloom-taste-finder)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "unicornbloom-bloom-taste-finder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/unicornbloom-bloom-taste-finder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/unicornbloom-bloom-taste-finder/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt