igniteui-react-generate-from-image-design

igniteui-react-generate-from-image-design is a skill for Claude Code from IgniteUI/igniteui-react. It costs 160 tokens per session (1,827 once invoked), scanned A, a copy of igniteui-react-generate-from-image-design, MIT.

A React implementation guide for turning a design image into application views using Ignite UI for React components. React is a JavaScript library for building user interfaces, and the guide also covers choosing components and applying themes.

In plain words
What is it for?
Use it to analyze a design image, select Ignite UI components, verify their documentation, generate theme values, and build the corresponding React views.
Why use it?
It gives agents a checked process for matching a visual design while using the appropriate React components and theme settings.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to analyze a design image, select Ignite UI components, verify their documentation, generate theme values, and build the corresponding React views.

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Install with agentmods
npx agentmods add skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add IgniteUI/igniteui-react --skill igniteui-react-generate-from-image-design
Clone the repo
git clone --depth 1 https://github.com/IgniteUI/igniteui-react

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for igniteui-react-generate-from-image-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design/github.svg)](https://agentmods.dev/skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design)
Your own site
<a href="https://agentmods.dev/skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design"><img src="https://agentmods.dev/badge/skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for igniteui-react-generate-from-image-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design"><img src="https://agentmods.dev/badge/skills/igniteui/igniteui-react/igniteui-react-generate-from-image-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,827 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00160 $0.01827
Opus 5.5 $0.00064 $0.00731
Sonnet 5.5 $0.00032 $0.00365
Haiku 4.5 $0.00016 $0.00183

Measured 1mo ago against content hash 321a527a7fe3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

igniteui-react-generate-from-image-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

98% identical to igniteui-react-generate-from-image-design — 246 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/igniteui-react-generate-from-image-design/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implementing a React View from a Design Image

React only — pass platform: 'react' / framework: 'react' to every MCP call.

Order of work

  1. Read the image. Identify every region, its component, and the layout structure.
  2. Inspect the app. Existing theme imports, design system, palette overrides, installed packages.
  3. Look up the components you chose before writing them — get_doc, get_api_reference.
  4. Theme — global layer only if the app has none, then per-component tokens.
  5. Implement the layout, mock data, and view.
  6. Validate — build, run, compare with the image, iterate.

Steps 3 and 4 use MCP servers where available; both are optional. Without them, read the installed .d.ts files (node_modules/igniteui-webcomponents/components/<name>/) for props, @slot, @csspart, and @cssproperty names, and theme with the palette shades documented in igniteui-react-customize-theme.

1. Read the image

Record, per region: layout role and proportions, component type, colors, type scale, borders/radius/shadow, data shape, and spacing rhythm.

Resolve layout as CSS Grid rows and columns that preserve the observed proportions — do not reverse-engineer exact pixel values or invent breakpoints yet. Get desktop proportions right first, then add stacking rules.

Before coding, state briefly: chosen component per region, any region falling back to plain HTML and why, theme strategy, packages needed, and assumptions you made where the image is ambiguous.

Start every region from an Ignite UI component. Fall back to semantic HTML only when the component's DOM structure stays incompatible after CSS overrides and ::part() are considered, and say so in a comment. Component picks live in COMPONENTS.md; use list_components({ framework: 'react', filter: '<narrow term>' }) to discover more. Narrow filters work better — 'list view', not 'list'.

Read the full file on GitHub · 102 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +1 lines · +85 tokens per session 321a527a7fe3
  2. 2mo ago Changed · -129 lines · -62 tokens per session 9cb93ca7ff6c
  3. 2mo ago First seen · 230 lines · 137 tokens per session scan A 51f85bb3297d

Subscribe to this mod's changes

igniteui-react-generate-from-image-design is a skill published in the GitHub repository IgniteUI/igniteui-react (57 stars, last pushed yesterday), licensed MIT. It adds 160 tokens to every session and 1,827 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to igniteui-react-generate-from-image-design, differing in 246 lines, and is treated as a copy.

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