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Ckw Design

Community
connerkward
ckw-design

Entry point for frontend design. Use WHENEVER building or touching the look of any web UI — components, pages, dashboards, landing pages, React/Vue/HTML-CSS — and whenever the user says "make this look better/nicer", "fix the spacing/layout", or mentions styling, color, typography, fonts, responsive design, polish, or aesthetics, even without the word "design". Load design-thinking for direction; design-system for implementation; design-spatial for layout; design-philosophy for visual philosophy or art-direction.

Overview

Publisherconnerkward
Repositoryckw-design-skill
Skill nameckw-design
Stars
9
Forks
1
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Ckw Design 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.
    https://github.com/connerkward/ckw-design-skill/tree/main
  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/connerkward/ckw-design-skill.git \
  .claude/skills/ckw-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ckw Design 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 Ckw Design 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 Ckw Design 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.

Design (entry)

Use this skill when the user asks to build or style web UIs: components, pages, dashboards, landing pages, React/Vue/HTML-CSS layouts, or any frontend interface. Goal: distinctive, production-grade output that avoids generic AI aesthetics.

Before reporting any design "done": render it and have a separate judge critique the image (not the code, not self-grading) — see design-spatial §1. Blind generation can't see its own collisions; this applies to all design output, not just spatial work.

MANDATORY HORIZONTAL-OVERFLOW GATE — runs before ANY web UI is "done". Measure document.documentElement.scrollWidth - document.documentElement.clientWidth at a narrow width (~390px and ~1024px), this turn, and confirm it's 0. This bug is invisible at desktop width and re-appears every time a row (header, nav, toolbar) gains an item, so it ships repeatedly. Default to flex-wrap:wrap on header/toolbar rows + body{overflow-x:clip}, and re-measure after adding any element to a horizontal row. Full procedure + recurrence cases: design-spatial §4. If you haven't measured narrow, you are not done — don't claim it.

Sub-skills (load when relevant)

  • design-thinking — Load for every design task. Defines purpose, tone, domain, color world, review bar, and cross-domain lens (cinema, architecture, marketing, UX, automotive, industrial design). See design-thinking/SKILL.md.
  • design-system — Load when implementing: tokens, typography, motion, color semantics, backgrounds. Use when building components, pages, or design systems. See design-system/SKILL.md.
  • design-spatial — Load when composing layout: explicit grid + 8-point spacing constraints, visual-weight/balance/alignment, and a render-then-critique vision loop. The fix for "spatial understanding is off" — generated layout that's centered mush, misaligned, or breaks at some widths. See design-spatial/SKILL.md.
  • design-ux — Load when auditing USABILITY (not just looks): a UI that "feels off"/"sucks to use", is hard to learn, needs an instruction wall, or any interactive tool/editor/app before shipping. Scores the rendered UI against Nielsen's 10 + interaction heuristics via a SEPARATE fresh-eyes judge → prioritized fix list. Usability ≠ aesthetics. See design-ux/SKILL.md.
  • design-philosophy — Load for high-concept work, campaigns, or when the user asks for a visual philosophy, manifesto, or unmistakable art-like aesthetic. See design-philosophy/SKILL.md.

Visual assets — generate or source

When design-thinking identifies a need for visual assets (logos, icons, hero images, textures, backgrounds):

  1. Generate → use an image-generation model or API for synthetic/branded assets.
  2. Source a real/archival one → free stock or archival image search, often cheaper and more authentic than generating.
  3. Use design-thinking output (tone, domain, color world) to craft prompts / queries.
  4. Evaluate against the design philosophy, refine, integrate into the build.

LLM-assisted work — always annotate model + cost

When design work involves running an LLM (generative assets, VLM analysis, layout critique, prompt generation, etc.):

  • Before running: state which model will be used and the estimated cost (e.g., "gpt-4o-mini · ~$0.005/image" or "FLUX v1 · ~$0.006 per gen").
  • After results: annotate the output with the model used, actual cost if different from estimate, and any key params (seed, prompt, settings). Cost goes visible to the user (in the message, contact sheet header, or asset caption), not buried in logs.
  • Why: the user is deciding whether the cost-to-quality trade-off is worth it. Unlabeled or hidden costs hide the most important lever. This rule mirrors media-attribution-rule for generative assets and extends it to any LLM operation in the design workflow.

Examples:

  • "Running gpt-4o-mini layout critique on 8 designs · est. ~$0.04 total" (before).
  • Contact sheet header: "FLUX v1 · $0.48 total (6 gen × $0.08)" (after).
  • Asset caption: "hero_banner_flux-dev_seed3891.jpg" (seeds enable reproducibility).
  • Uncertainty slider result: "VLM triage on 46,978 images · gpt-4o-mini · ~$9.40" (before); "✓ Completed: 12,447 images classified · gpt-4o-mini · $7.62" (after).

Algorithm / model explainers — show the equation, annotate the terms

Whenever a UI surfaces an algorithm or model to the user (an "ⓘ how this works" panel, a model breakdown, a methods note), include the actual equation, typeset, with its key terms annotated — don't settle for prose. A scorer described only in words ("ranks by how much of the picked color is present") is unfalsifiable hand- waving; the formula score = Σ fracᵢ · max(0, 1 − ΔEᵢ/τ) with each term labelled tells the user exactly what the knob does and builds trust that there's real math under the hood.

How to apply:

  • Render one clean, central equation per algorithm — the "sexy" core, not every detail. Use proper notation: σ for sigmoid, Σ for sums, ‖·‖ for norms, superscripts, ΔE, ∇²; a monospace/serif-math block set off from the prose.
  • Annotate every symbol immediately below: what e_x, w, τ, Q each are, in one line each. An unlabelled equation is decoration; a labelled one is a spec.
  • Keep it dependency-light — styled HTML/Unicode math is fine and works offline; only reach for KaTeX/MathJax if the expressions genuinely need it.
  • State the decision rule alongside the score (e.g. "personal if P ≥ 0.55").
  • This composes with the model+cost annotation above: the equation says what it computes, the model/cost line says what ran it and for how much.

Example (a logistic head):

P(personal │ x) = σ(w·eₓ + b), σ(z) = 1 / (1 + e⁻ᶻ) • eₓ — the image's 768-d embedding · w, b — weights learned from your labels · decision: personal if P ≥ 0.55, reference if P ≤ 0.40.

Select-all always has a deselect — no dead-end selections

Any "Select all" affordance MUST be paired with a way to clear the selection — preferably the same button, label-flipped when everything is already selected ("Select all" ⇄ "Deselect all"). A select-all with no inverse is a trap: the user over-selects (or hits it by reflex), then has to un-click items one by one, or reload the page, to get back. The cost is silent — it only bites after they've committed to the wrong set.

How to apply:

  • Toggle the same button (simplest, fewest controls): when all visible items are selected, the button reads "Deselect all" and clears; otherwise "Select all". One control, no dead end.
  • Or a separate Clear/Deselect shown whenever the selection is non-empty.
  • The deselect must reach the same scope the select-all did (all shown, all filtered, all on this page) — don't let "Select all" grab 500 but "Clear" only drop the 50 on screen.
  • This generalizes: any reversible bulk toggle (select, expand-all, mute-all, check-all) needs its inverse one tap away. Symmetry of action — see restraint-rule (don't strand the user mid-task).

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 Ckw Design AI skill do?

Entry point for frontend design. Use WHENEVER building or touching the look of any web UI — components, pages, dashboards, landing pages, React/Vue/HTML-CSS — and whenever the user says "make this look better/nicer", "fix the spacing/layout", or mentions styling, color, typography, fonts, responsive design, polish, or aesthetics, even without the word "design". Load design-thinking for direction; design-system for implementation; design-spatial for layout; design-philosophy for visual philosophy or art-direction.

Why use Ckw Design on TypingMind?

Because you install it once and use it with any model. Ckw Design 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 Ckw Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/connerkward/ckw-design-skill/tree/main. 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 Ckw Design?

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 Ckw Design?

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

Is the Ckw Design AI skill free?

Yes. It is published on GitHub by connerkward 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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