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Design With Images

CommunityPopular
dzhng
design-with-images

Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.

Overview

Publisherdzhng
Repositoryskills
Skill namedesign-with-images
Stars
1.1K
Forks
66
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Design With Images 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/dzhng/skills/tree/main/skills/visual/design-with-images
  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/dzhng/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/visual/design-with-images .claude/skills/design-with-images
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design With Images 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 Design With Images 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 Design With Images 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 With Images

The deliverable is the working design, visibly matched to the approved reference. Image generation explores the target; real screenshots prove the implementation. For an exploration-only request, deliver the options and wait for a selection.

Workflow

  1. Frame the decision. Read the relevant design skill and capture the actual surface. Pin what may change and what must stay: content, framing, palette, interactions and surrounding UI. Keep the original capture.
  2. Generate alternatives. Use the available image-generation skill/tool with that capture as a reference. Produce a small, labelled set of distinct visual directions. Show them as concepts, never as screenshots of implemented code.
  3. Freeze the chosen target. Use an existing approval or delegated design discretion; otherwise obtain the user's selection. Preserve the selected image, prompt and provenance in the project's reference area. Name its visible requirements: spacing and padding, silhouette, typography, opacity, edge softness, hierarchy and placement. Do not substitute the prompt's requested properties for what the selected image actually shows. Before coding, complete the reference measurements in Reference Landmarks.
  4. Implement the design. Use the project's real components and visual primitives. A generated mockup is not source code, and easy CSS is not evidence of fidelity. Preserve intended relationships when implementation constraints require a different mechanism. Label generated text errors or invented details as artifacts; do not ship them merely to match pixels.
  5. Compare and iterate. Capture the real implementation at comparable scale, framing and state. Run compare-screenshots against the approved concept, with full context and tight crops of the changed features. Complete its boundary/overlap checks: compare each side of the effect and any foreground it crosses, not just overall softness and spacing. Keep the per-feature pass/fix/uncertain record through handover. A before/after code screenshot comparison is supplementary; it proves change, not fidelity to the selected design. List the material mismatches, fix them in code, recapture and compare again. Continue until each intended feature matches or the user explicitly revises the target. Passing functional tests, a lower distance score, or "close enough" from memory is not a stopping condition. Disclose constraints as soon as they emerge.
  6. Verify and hand over. Check the real design in its relevant states and sizes, including crowded and low-contrast cases. Use screenshot-critique for an unprimed review; show the approved reference beside the actual result, clearly labelled, using preview-shots where available. Resolve material feedback through the same comparison loop before claiming completion or publishing. Stabilize this visual gate before running expensive closeout suites; use focused checks while the design is still changing. Preserve existing authorization; do not invent another approval gate when the selected design and shipping action are already approved.

Rules

  • Keep concept, previous implementation and current implementation distinct. Never replace the approved reference with the latest code screenshot.
  • Keep actual-size captures as primary evidence. Label derived alignments; never change application scale or crop away defects to improve agreement.
  • Judge generated references by their intended design features, not literal equality of re-rendered text or scenery. Document such exclusions explicitly; they are not permission to excuse different padding, shapes or hierarchy.
  • A selected concept is a requirement, not inspiration to reinterpret silently. If it cannot be implemented faithfully, show the specific conflict and seek a revised target rather than presenting an approximation as finished.

Frequently asked questions

What does the Design With Images AI skill do?

Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.

Why use Design With Images on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dzhng/skills/tree/main/skills/visual/design-with-images. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design With Images?

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 Design With Images?

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

Is the Design With Images AI skill free?

Yes. It is published on GitHub by dzhng 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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