taste

Establish a domain model and apply a create-subtract workflow grounded in domain references.

11|1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/SZoloth/skill-pack --skill taste-szoloth
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: taste
Source: https://github.com/SZoloth/skill-pack/tree/main/skills/taste
Command: npx skills add https://github.com/SZoloth/skill-pack --skill taste-szoloth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Domain-grounded judgment is applied during creation to ensure outputs reflect real-world practitioners and are not just technically correct or template-driven.

Core Features & Use Cases

  • Grounding framework: establish a domain model, derive a spine, and apply a structured creation and subtraction workflow to prune unnecessary content.
  • Domain awareness: integrate research exemplars, guidelines, and practitioner signals to distinguish meaningful detail from filler.
  • Versatility: effective across code, visuals, documents, design artifacts, and other outputs where quality depends on domain norms.

Quick Start

Provide a domain grounding brief and prompt the AI to produce a grounded, high-quality draft.

Frequently Asked Questions about taste

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I make AI generated content read as naturally grounded instead of template-driven?▼

To make AI content naturally grounded, you must establish a domain model, frame the output around a structural spine, and apply a structured create-subtract process using domain references to prune filler.

What is the best way to evaluate and improve domain judgment for design artifacts and code?▼

Evaluating domain judgment for design artifacts and code involves integrating research exemplars and practitioner signals, distinguishing meaningful domain detail from generic filler to ensure outputs reflect real-world standards.

Can I apply a domain grounding workflow across different types of outputs like visuals and documents?▼

Yes, you can apply domain grounding across visuals, documents, code, and other design artifacts, ensuring selective inclusion of content based on specific domain norms rather than generic technical correctness.

How do I start a structured create-subtract process for content creation?▼

To start a structured create-subtract process, provide a domain grounding brief and prompt the AI to generate a high-quality draft, which is then pruned by subtracting unnecessary content not supported by domain references.

Why does my AI output still look generated even when I provide strict formatting rules?▼

Outputs look generated when lacking domain awareness; solving this requires enforcing a grounding workflow that derives a structural spine from a domain model and selectively subtracts content based on practitioner signals.

When should I avoid using a domain grounding framework for content creation?▼

Avoid using a domain grounding framework for tasks requiring immediate, high-volume generic output without quality constraints, as the create-subtract process and reference integration demand significant domain understanding and selective pruning.