web-create-assets

web-create-assets is a skill for Claude Code, Codex from valtterimelkko/agent-workflow-skills. It costs 84 tokens per session (2,978 once invoked), scanned A, original, MIT.

A procedure for creating new visual assets that fit an existing web application's design, such as icons, illustrations, feature graphics, or interface mockups. It uses screenshots to study the current visual style before generating assets.

In plain words
What is it for?
Use it to analyze screenshots, create an asset plan, and generate new UI visuals that match the product's design system.
Why use it?
It helps keep newly created visuals consistent with the application's existing colors, typography, and overall appearance. This reduces guesswork when adding images to an established interface.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to analyze screenshots, create an asset plan, and generate new UI visuals that match the product's design system.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/valtterimelkko/agent-workflow-skills/web-create-assets
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 valtterimelkko/agent-workflow-skills --skill web-create-assets
Clone the repo
git clone --depth 1 https://github.com/valtterimelkko/agent-workflow-skills

Made for: Claude Code, Codex.

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 web-create-assets

README.md
[![agentmods](https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-create-assets/github.svg)](https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-create-assets)
Your own site
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-create-assets"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-create-assets/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 web-create-assets

Your own site · 80×15
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-create-assets"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-create-assets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,978 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 original No closer match found 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 $0.00084 $0.02978
Opus 5 $0.00042 $0.01489
Sonnet 5 $0.00017 $0.00596
Haiku 4.5 $0.00008 $0.00298

Measured 9d ago against content hash 73a565c9f5b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

web-create-assets 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 9d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/analyze_style.py, scripts/create_asset_plan.py, scripts/generate_assets.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/web-create-assets/SKILL.md · 417 lines

How it starts

The opening of the file, as written. The whole thing — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Create Assets

Create professional UI assets that perfectly match your existing web application's design system.

Quick Start

# 1. Capture screenshots of your existing UI (optional - uses webapp-testing skill first)
# 2. Analyze screenshots and extract style
python3 scripts/analyze_style.py --screenshots ./screenshots --output style_guide.json

# 3. Create UI asset plan
python3 scripts/create_asset_plan.py --style style_guide.json --requirements requirements.json --output asset_plan.json

# 4. Generate assets
python3 scripts/generate_assets.py --plan asset_plan.json --output ./new_assets

Workflow Overview

┌──────────────────┐    ┌──────────────────┐    ┌──────────────────┐
│ 1. ANALYZE       │ →  │ 2. PLAN          │ →  │ 3. GENERATE      │
│ Extract style    │    │ Define assets    │    │ Create matching  │
│ from screenshots │    │ with specs       │    │ professional     │
│                  │    │                  │    │ assets           │
└──────────────────┘    └──────────────────┘    └──────────────────┘

Phase 1: Style Analysis

Extract Style from Screenshots

Analyze existing UI screenshots to extract:

  • Color Palette: Primary, secondary, accent, background, text colors
  • Typography Style: Font characteristics, weight preferences, sizing patterns
  • Visual Patterns: Shadows, borders, corner radii, spacing
  • Component Aesthetics: Button styles, card treatments, input fields
python3 scripts/analyze_style.py \
  --screenshots ./screenshots \
  --output style_guide.json \
  --extract-colors \
  --extract-typography \
  --extract-patterns

Style Guide Output Format

{
  "project_name": "MyApp",
  "extracted_from": ["screenshot1.png", "screenshot2.png"],
  "color_palette": {
    "primary": "#0066FF",
    "secondary": "#00D9FF",
    "accent": "#FF6B35",
    "background": "#0F172A",
    "surface": "#1E293B",
    "text_primary": "#F8FAFC",
    "text_secondary": "#94A3B8"
  },
  "typography": {
    "style": "modern sans-serif",
    "weights": ["400", "600", "700"],
    "characteristics": "clean, geometric, high readability"
  },
  "visual_patterns": {
    "shadows": "subtle drop shadows, 4-8px blur",
    "borders": "1px solid with low opacity",
    "corner_radius": "8-12px for cards, 4-6px for buttons",
    "spacing": "8px base grid, generous whitespace"
  },
  "style_summary": "Modern minimalist tech aesthetic with dark mode, blue primary accent"
}

Read the full file on GitHub · 417 lines

Files

What ships with it

7 files 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. 9d ago First seen · 417 lines · 84 tokens per session scan A 73a565c9f5b7

Subscribe to this mod's changes

web-create-assets is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 84 tokens to every session and 2,978 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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