Agent skill

Design Taste

by Owl-Listener in Owl-Listener/designpowers

A skill your agent uses when calibrating aesthetic direction — capturing design references, quality benchmarks, and the subjective qualities that make a design feel elevated.

MITAuto-check passedFrontend & Design

Install Design Taste

skills CLI
$ npx skills add Owl-Listener/designpowers --skill design-taste -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Owl-Listener/designpowers design-taste --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Owl-Listener/designpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/design-taste .claude/skills/design-taste && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
design-taste
GitHub stars
251
Token cost
~2.9k tokens
SKILL.md length
1,209 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when calibrating aesthetic direction — capturing design references, quality benchmarks, and the subjective qualities that make a design feel elevated.

  • Works in 5 steps: Gather Taste Inputs → Analyse the References → Define the Taste Profile → …
  • Calibrating aesthetic direction — capturing design references
  • SKILL.md covers Welcome Gate, Why This Exists, When to Use and Process, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Design Taste is an agent skill from Owl-Listener/designpowers. Use when calibrating aesthetic direction — capturing design references, quality benchmarks, and the subjective qualities that make a design feel elevated. Invoked between strategy and design to give agents a shared sense of what "good" looks and feels like for this project

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design. The repository describes itself as: An agent design team you control: 10 agents that run an inclusive design process while you direct. The licence is MIT.

When your agent uses it

  • Calibrating aesthetic direction — capturing design references
  • Quality benchmarks
  • The subjective qualities that make a design feel elevated

Example prompts

  • “/design-taste”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Taste Inputs
  2. Analyse the References
  3. Define the Taste Profile
  4. Add Taste to Design State
  5. Validate with the User

What it can do on your machine

Read from SKILL.md and the folder at commit cb00757. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Design Taste loads about 2.9k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 1,209 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Owl-Listener/designpowers at commit cb00757, republished under its MIT licence (© Owl-Listener). 1,209 words, ~2,930 tokens.

Download SKILL.mdSave it as .claude/skills/design-taste/SKILL.md (or your agent's skills folder).
name
design-taste
description
Use when calibrating aesthetic direction — capturing design references, quality benchmarks, and the subjective qualities that make a design feel elevated. Invoked between strategy and design to give agents a shared sense of what "good" looks and feels like for this project

Design Taste

Process discipline produces correct design. Taste produces design people love. This skill captures the subjective, aesthetic dimension that no checklist can replace — the difference between a design that works and one that sings.

Welcome Gate

BEFORE calibrating taste, check whether the Designpowers welcome sequence has been shown this session. If the user has not yet seen the welcome (the bird, the greeting, and the walkthrough offer), you MUST invoke the using-designpowers skill FIRST and complete the welcome sequence before returning here. The bird must appear before any work begins. No exceptions.

Why This Exists

The Designpowers workflow verifies that designs are:

  • Aligned to the brief and plan
  • Accessible and inclusive
  • Consistent with design principles

But none of that answers: Is it beautiful? Does it feel right? Is it elevated?

Taste is the gap between compliance and craft. This skill gives agents a shared vocabulary and reference point for the aesthetic quality the project demands.

When to Use

  • After strategy, before design work begins (taste calibration)
  • When the user shares design references, screenshots, or inspiration
  • When the design-lead needs aesthetic direction beyond what the brief provides
  • When the design-critic needs to evaluate craft quality, not just plan compliance
  • When something "works" but doesn't feel right — and you need to articulate why

Process

Step 1: Gather Taste Inputs

This step is a conversation, not a form. Actively prompt the user — don't wait for them to volunteer. Most people have strong taste but haven't been asked the right questions. Your job is to draw it out.

1a: Check for an Existing Design System

Before asking subjective questions, check what already exists:

  • "Do you have an existing design system, style guide, or component library?"
  • "Can you point me to your tokens, brand guidelines, or any visual standards?"
  • "Is there a Figma file, Storybook, or design system documentation I should look at?"

If a design system exists, read it first. Extract the taste signals already embedded in it:

  • Token naming conventions reveal design philosophy (is it semantic or literal?)
  • Colour palette composition reveals restraint or vibrancy
  • Spacing scale reveals density preference
  • Border radius values reveal personality (sharp = authoritative, rounded = friendly)
  • Shadow system reveals depth philosophy
  • Typography pairings reveal voice

Document what the design system already tells you about taste before asking for more. The user shouldn't have to re-articulate what their system already expresses.

1b: Ask for the User's Own Thoughts

After reviewing any existing system, prompt the user for their subjective direction. Ask these directly — do not skip this step. The user's gut feelings and personal instincts are the most valuable input. Meet them where they are — not everyone speaks in design terms.

Prompt with these questions (adapt to context):

  1. References — "Show me 2-3 designs you admire. What do you love about each? These can be websites, apps, physical products, even spaces — anything that has the feel you want."
  2. Emotional target — "When someone uses this, what should it feel like?" (Examples: calm confidence, playful energy, quiet authority, warm invitation)
  3. Anti-references — "Show me something you'd hate this to look like. What makes it wrong?"
  4. Quality bar — "What level of polish are we targeting?" (Prototype → production → flagship)
  5. Personality — "If this product were a person, how would they dress? How would they speak?"
  6. What's missing from the current system? (If a design system exists) — "What do you wish your current design system did better? Where does it fall short of how you want things to feel?"

Not every question is needed. Read the room. If the user has strong visual instincts, lean on references. If they think in feelings, lean on emotional targets. If they have anti-references, those are often more revealing than positive ones.

Important: The user's subjective thoughts override what's in the design system. If the system says "sharp corners" but the user says "I want it to feel warmer," the taste profile should reflect the user's intent — and note the tension with the existing system as something to reconcile.

Step 2: Analyse the References

For each design reference the user provides, extract the specific qualities that make it work:

markdown
## Reference Analysis: [Name/URL]

**What makes this feel good:**
- [Specific quality] — e.g., "generous whitespace creates breathing room"
- [Specific quality] — e.g., "typography has a single accent weight, never competes"
- [Specific quality] — e.g., "colour palette is 90% neutral, 10% vibrant — the accent hits harder because it's rare"

**Craft details worth noting:**
- [Detail] — e.g., "borders are 1px at 8% opacity, not solid lines"
- [Detail] — e.g., "shadows use 2 layers: a tight sharp shadow + a soft ambient"
- [Detail] — e.g., "hover states use scale(1.02), not colour change"

**What to borrow (principle, not pixel):**
- [Transferable pattern] — e.g., "restraint in colour — let one accent do the work"
- [Transferable pattern] — e.g., "consistent radius vocabulary: 4px for inputs, 8px for cards, 16px for modals"
Step 3: Define the Taste Profile

Synthesise the references, emotional targets, and anti-references into a taste profile. This is the document that agents use when making aesthetic decisions.

markdown
# Taste Profile: [Project Name]

## Existing Design System
[If one exists: what it already tells us about taste — palette philosophy, spacing density, personality signals from tokens/components. If none: "No existing design system — building taste from scratch."]

### Taste Signals from the System
- Colour philosophy: [e.g., "restrained neutral palette with a single blue accent"]
- Density: [e.g., "generous spacing — the system breathes"]
- Personality: [e.g., "rounded corners (8px default) suggest approachability"]
- Typography voice: [e.g., "Inter for UI, serif for marketing — functional and warm"]

### Where the User Wants to Evolve
[What the user wants to change, extend, or push further from the existing system]

## Emotional Target
[2-3 sentences: what this should feel like to use]

## Aesthetic Principles
[3-5 principles specific to the visual/emotional quality, not functional design]

1. **[Principle name]** — [What it means]
   _Test: [How to evaluate whether a design decision follows this]_

2. **[Principle name]** — [What it means]
   _Test: [How to evaluate]_

## Quality Level
[Prototype / Production / Flagship]
[What this means in practice — e.g., "flagship: every pixel intentional, micro-interactions polished, typography refined to the point of invisibility"]

## References
| Reference | What to borrow | What to avoid |
|-----------|---------------|---------------|
| [Name] | [Specific qualities] | [What not to copy] |

## Anti-References
| Anti-reference | What makes it wrong for us |
|----------------|---------------------------|
| [Name] | [Specific qualities to avoid] |

## Craft Standards
[Specific details that define the quality bar]
- Shadows: [approach]
- Borders: [approach]
- Radius: [vocabulary]
- Colour usage: [restraint rules]
- Typography pairing: [rules]
- Whitespace: [philosophy — generous/tight/balanced]
- Animation: [personality — snappy/fluid/springy/minimal]

## Personality
[If the product were a person: how they'd dress, speak, move]

Save to: docs/designpowers/taste/YYYY-MM-DD-<project>-taste.md

Show full SKILL.md (495 more words)Show less
Step 4: Add Taste to Design State

After the taste profile is created, update design-state.md:

  1. Add a Taste Profile section after Design Principles:
markdown
## Taste Profile
- **Emotional target:** [2-3 words]
- **Quality level:** [Prototype / Production / Flagship]
- **Key references:** [names]
- **Aesthetic principles:** [list]
- **Taste document:** [path]
  1. Record the taste calibration in the Decisions Log
  2. Add the taste document to the Artefact Index
Step 5: Validate with the User

Present the taste profile and ask: "Does this capture what you're going for?"

The user's taste overrides everything. If they say "I want it to feel like Linear but warmer," that's the direction — even if the references suggest otherwise.

How Agents Use the Taste Profile

Once the taste profile exists, it becomes a reference document for the entire workflow:

AgentHow they use taste
design-leadMakes aesthetic decisions that serve the emotional target and craft standards. References the taste profile alongside design principles
motion-designerMatches animation personality to the taste profile (snappy vs. fluid vs. springy). Easing curves should feel like the product's personality
content-writerMatches voice warmth/formality to the product personality. A "quiet authority" product doesn't use exclamation marks
design-builderImplements craft details at the specified quality level. A flagship build polishes shadows, transitions, and spacing to the pixel
design-criticEvaluates craft quality against the taste profile, not just compliance. "This meets the brief but falls below the quality bar" is a valid critique
accessibility-reviewerEnsures taste decisions don't compromise access. Thin, elegant text is a taste choice that might fail contrast. Flag the tension, don't just override

Taste Is Not Arbitrary

Good taste is specific, consistent, and defensible. It is not "I like blue" — it is "blue at 12% opacity as a background tint creates the calm, clinical feel our medical app needs, referencing the quiet confidence of the references we chose."

Every taste decision should connect back to:

  1. The emotional target (how it should feel)
  2. The references (where the quality bar comes from)
  3. The personas (who experiences it)

Taste that excludes people is not good taste. If a thin, delicate typeface creates the right mood but fails readability for low-vision users, find a typeface that does both. The constraint makes the design better, not worse.

Red Flags

FlagResponse
No references at allPush gently. Even "I like how Apple does things" gives direction
References that contradict each otherThis is fine — extract what's common, flag what conflicts, ask the user to resolve
Taste profile that violates accessibilityFind the version that serves both. Thin borders can be elegant AND meet contrast ratios. It's harder, but it's the job
"Just make it look good"Not enough. Probe deeper: "Good like Stripe? Good like Notion? Good like a luxury hotel?" — taste needs specifics
Quality level doesn't match timelineFlag the tension. Flagship quality takes time. If the timeline says prototype, the taste profile should reflect achievable craft

Integration

  • Called after: design-strategy (once principles exist, calibrate taste)
  • Called before: ui-composition, interaction-design, motion-choreography
  • Referenced by: design-lead, motion-designer, content-writer, design-builder, design-critic
  • Updated when: user provides new references, changes aesthetic direction, or overrides a taste decision

© Owl-Listener, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/design-taste of Owl-Listener/designpowers.

Open the folder on GitHubat commit cb00757

Compare with similar skills

Design Taste next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Design Taste compared with similar skills
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Design Taste this skillOwl-Listener/designpowers251—~2.9kAutomated safety check: PassMIT
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React Doctormakeplane/plane61k12 repos~657Automated safety check: PassAGPL-3.0
Impeccablebestofjs/bestofjs3.1k26 repos~2.6kAutomated safety check: PassMIT
Figma Design System Builderwarpdotdev/warp65k2 repos~4.4kAutomated safety check: PassAGPL-3.0
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone

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Questions about Design Taste

What does Design Taste do?

A skill your agent uses when calibrating aesthetic direction — capturing design references, quality benchmarks, and the subjective qualities that make a design feel elevated. Design Taste is an agent skill from Owl-Listener/designpowers. Use when calibrating aesthetic direction — capturing design references, quality benchmarks, and the subjective qualities that make a design feel elevated.

When should I use Design Taste?

Design Taste fits situations like: calibrating aesthetic direction — capturing design references; quality benchmarks; the subjective qualities that make a design feel elevated.

How do I install Design Taste in Claude Code?

Run `npx skills add Owl-Listener/designpowers --skill design-taste -a claude-code`. Or copy the skill folder (skills/design-taste in Owl-Listener/designpowers) into .claude/skills/design-taste in your project. Claude Code loads it when a task matches its description.

How do I install Design Taste in Codex?

Run `npx skills add Owl-Listener/designpowers --skill design-taste -a codex`. Or copy the skill folder (skills/design-taste in Owl-Listener/designpowers) into .agents/skills/design-taste in your project. Codex loads it when a task matches its description.

Can I use Design Taste in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Owl-Listener/designpowers --skill design-taste -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/design-taste, .gemini/skills/design-taste, .github/skills/design-taste and .opencode/skills/design-taste in your project.

What does Design Taste need to run?

SKILL.md names no scripts, command-line tools or credentials: Design Taste is instructions for the agent only.

Does Design Taste access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Design Taste safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Design Taste use?

Design Taste is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Design Taste use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Design Taste?

Skills that share tags, products or a category with Design Taste: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Design Taste?

Owl-Listener (a GitHub user) maintains it in Owl-Listener/designpowers, which has 251 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on June 23, 2026.

Source: Owl-Listener/designpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.