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Better Colors

CommunityPopular
jakubkrehel
better-colors

Helps you build a color system and answer anything about color in your project. You can generate palettes, use semantic tokens, convert between formats, check contrast and more.

Overview

Publisherjakubkrehel
Repositoryskills
Skill namebetter-colors
Stars
6.8K
Forks
245
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jakubkrehel on GitHub. Read the source before you install it.

Installation

Install the Better Colors AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jakubkrehel/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/better-colors .claude/skills/better-colors
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Better Colors in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Better Colors on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Better Colors is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Colors

A color system is a small set of ramps, named by role and verified against the backgrounds they actually render on. Most color bugs are system bugs. A value picked in isolation, a token borrowed because it looked right, a pair nobody measured.

Never report a contrast value you did not measure, and never estimate a color you could compute. Colors are one of the few interface concerns with an exact answer, so produce the exact answer.

Contrast requirements belong to better-accessibility. Surfaces, shadows and icon color belong to better-ui.

Match the project's color system

Reuse the project's tokens and notation. A second representation added to fix one value makes the palette harder to reason about. A consistent hex system beats hex with oklch() scattered through it.

For a new system, oklch() is the best default, because its numbers behave the way the ramp rules below describe. Everywhere else, a color library produces the same ramp in the project's own notation (color-formats.md).

A system is ramps, not colors

One neutral ramp, one accent ramp and only the status ramps the product actually renders. A warning ramp nothing imports is maintenance for zero pixels. A second accent hue earns its place only when two things must be distinguishable at a glance.

Every step has a job

A ramp is not a gradient to pick from by eye. Each step exists because a role needs it: page background, component hover, border, solid fill, body text. Do not generate a step no role consumes. Both the Tailwind 50950 and Radix 112 conventions map to those roles (palette-structure.md).

Name primitives by hue, semantics by role

Primitives name a value (--blue-500) and are never applied in a component. Semantic tokens name a job (--color-text-secondary), point at a primitive and are the only tier components reference.

That seam is what makes theming possible. Without it, dark mode means auditing every usage to work out which meant "the accent" and which just wanted blue (token-naming.md).

Use a token only in its role

Never borrow a token because its value is right today. A separator used as a text color works until borders get lighter, and then the text goes with them. If a role has no token, add the token.

Hold the hue across the ramp

Four properties define a well-formed ramp:

  • Steps step evenly in perceived lightness, not in whatever the format calls lightness.
  • Hue stays constant end to end.
  • Vividness peaks mid-ramp and falls off at both ends.
  • Steps sit denser at the light end than at the dark end.

Both ends stop short of pure black and white, which cannot carry hue at all. Use a color library rather than eyeballing it (palette-generation.md).

One color, one meaning

Use a color for one purpose across the whole interface, treating anything within 15° of hue as the same color. If the accent means interactive, that hue on static text tells users to click something that is not clickable, and an interactive element rendered neutral misleads just as badly. Color is never the only carrier of meaning, which better-accessibility owns.

Fill exactly one action per view

When filled color encodes primary emphasis, one primary action gets it and peers stay neutral. Put the color on the background, not the label. A filled button reads as primary across the room; accent-colored text on a neutral button reads as a link.

Several colored backgrounds are fine when they encode distinct states or categories rather than competing as peers.

Measure the rendered pair, then report

Measure a foreground against the background it actually renders on, not the page background. When a pair fails, report the pair, its measured value and the threshold it misses, then leave the colors alone. They are a design decision. Change them only when asked, and remeasure after (contrast.md).

Pick a gradient's interpolation space

The space is a look, not a correctness setting.

  • in oklab is the best default: even brightness, no hue surprises.
  • in oklch travels around the hue wheel rather than through the middle, staying vivid and sweeping every hue between the stops. Reach for it when a two-hue gradient goes gray in the middle.
  • The sRGB default darkens and mutes the midpoint. It is what most interfaces already have, because it is what you get without asking.

See color-usage.md.

Before you finish

MistakeFix
A raw value where the project has a tokenReuse or add the role token, in the project's notation
An isolated oklch() value dropped into a hex codebaseKeep the established notation unless a migration is in scope
A primitive like --blue-500 used directly in a componentPoint a semantic token at it
Token named for its appearance (--color-blue-button) or first use (--color-sidebar-gray)Name it for its role: --color-accent-solid, --color-bg-surface
--color-primary meaning the brand and --color-text-primary meaning body textReserve accent for the brand; let primary mean "most prominent of its group"
Semantic token used outside its role (separator as text)Add a token for the missing role; never borrow by value
Ramp built by varying HSL lightnessRebuild against perceived lightness with a constant hue
Ramp spaced evenly across the full rangeTighten the light end until 50 and 100 read as two surfaces
Same saturation number reused across huesMatch the proportion of each hue's own maximum, not the raw value
Status hue that collides with the accent hueMove it until destructive and primary read apart side by side
Dark mode made by mechanically reversing the light paletteReverse as a starting point, then reduce vividness, widen the dark end and recheck every pair
prefers-color-scheme setting some tokens and a .dark class setting othersPick one switching mechanism and use it throughout
Contrast fixed by changing hueChange lightness, the channel contrast responds to
P3 color with no sRGB fallbackDeclare the sRGB value first, then override inside @media (color-gamut: p3)

Reporting

Severity. HIGH makes content unreadable or assigns a misleading semantic color. MEDIUM is a noticeable theme, token, or gamut failure. LOW is isolated polish.

Verification. Without a browser: token values, the gamut of every declared color, both theme blocks present and contrast computed from the declared token pair. With one: the background actually rendered behind the text, including opacity and any image beneath it, measured in both light and dark. A failing pair is reported, not repainted. Report every check you could not run as Not verified.

Format. Group findings under the principle each violates, ordered by severity, one row per root cause listing every location it appears in:

SeverityLocationBeforeAfterWhy

Location is path/to/file:line. Why names the principle and the user impact.

End with Block when any HIGH remains, Approve otherwise, leaving the rest in the table as work to do. Never Approve coverage you did not inspect. With nothing to report, state "No actionable color findings" and report verification.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Better Colors AI skill do?

Helps you build a color system and answer anything about color in your project. You can generate palettes, use semantic tokens, convert between formats, check contrast and more.

Why use Better Colors on TypingMind?

Because you install it once and use it with any model. Better Colors is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Better Colors in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jakubkrehel/skills/tree/main/skills/better-colors. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Better Colors?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Better Colors?

As many as you like. As long as a model supports skills, you can use Better Colors with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Better Colors AI skill free?

Yes. It is published on GitHub by jakubkrehel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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