image-gen

jezweb/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jezweb/claude-skills --skill image-gen
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summary

Generate website images and edit them with Gemini 3 Native Image Generation.

  • Supports hero banners, service cards, infographics with legible text (94% at 4K), and multi-turn editing across 10+ aspect ratios and resolutions up to 4K
  • Two active models: Gemini 3 Pro Image Preview for 4K and complex compositions; Gemini 2.5 Flash Image for fast iteration
  • Handles up to 14 reference images (max 5 human for consistency), style transfer, color changes, element addition/removal, and aspect ra
skill.md

Image Generation Skill

Generate and edit website images using Gemini Native Image Generation.

⚠️ Critical: SDK Migration Required

IMPORTANT: The @google/generative-ai package is deprecated as of November 30, 2025. All new projects must use @google/genai.

Migration Required:

// ❌ OLD (deprecated, support ended Nov 30, 2025)
import { GoogleGenerativeAI } from "@google/generative-ai";
const genAI = new GoogleGenerativeAI(API_KEY);

// ✅ NEW (required)
import { GoogleGenAI } from "@google/genai";
const ai = new GoogleGenAI({ apiKey: API_KEY });

Source: GitHub Repository Migration Notice

Models

Model ID Status Best For
Gemini 3 Pro Image gemini-3-pro-image-preview Preview (Nov 20, 2025) 4K, complex prompts, text
Gemini 2.5 Flash Image gemini-2.5-flash-image GA (Oct 2, 2025) Fast iteration, general use
Imagen 4.0 imagen-4.0-generate-001 GA (Aug 14, 2025) Alternative platform

Deprecated Models (do not use):

  • gemini-2.0-flash-exp-image-generation - Shut down Nov 11, 2025
  • gemini-2.0-flash-preview-image-generation - Shut down Nov 11, 2025
  • gemini-2.5-flash-image-preview - Scheduled shutdown Jan 15, 2026

Source: Google AI Changelog

Capabilities

Feature Supported
Generate from text
Edit existing images
Change aspect ratio
Widen/extend images
Style transfer
Change colours
Add/remove elements
Text in images ✅ (legible!)
Multiple reference images ✅ (up to 14: max 5 humans, 9 objects)
4K resolution ✅ (Pro only)

Note: Exceeding 5 human reference images causes unpredictable character consistency. Keep human images ≤ 5 for reliable results.

Aspect Ratios

1:1   | 2:3  | 3:2  | 3:4  | 4:3
4:5   | 5:4  | 9:16 | 16:9 | 21:9

Resolutions (Pro only)

Size 1:1 16:9 4:3
1K 1024x1024 1376x768 1184x880
2K 2048x2048 2752x1536 2368x1760
4K 4096x4096 5504x3072 4736x3520

Quick Start

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });

// Generate new image
const response = await ai.models.generateContent({
  model: "gemini-2.5-flash-image",
  contents: "A professional plumber in hi-vis working in modern Australian home",
  config: {
    responseModalities: ["TEXT", "IMAGE"],  // BOTH required - cannot use ["IMAGE"] alone
    imageGenerationConfig: {
      aspectRatio: "16:9",
    },
  },
});

// Extract image
for (const part of response.candidates[0].content.parts) {
  if (part.inlineData) {
    const buffer = Buffer.from(part.inlineData.data, "base64");
    fs.writeFileSync("hero.png", buffer);
  }
}

Important: responseModalities must include both ["TEXT", "IMAGE"]. Using ["IMAGE"] alone may fail or produce unexpected results.

Model Selection

Requirement Use
Fast iteration Gemini 2.5 Flash Image
4K resolution Gemini 3 Pro Image Preview
Text in images Gemini 3 Pro (94% legibility at 4K)
Simple edits Gemini 2.5 Flash Image
Complex compositions Gemini 3 Pro Image Preview
Infographics/diagrams Gemini 3 Pro Image Preview

Text Rendering Benchmarks (4K resolution):

  • Gemini 3 Pro Image: 94% legible text
  • DALL-E 3: 78% legible text
  • Midjourney: Decorative pseudo-text only

When to Use

Use Gemini Image Gen when:

  • Stock photos don't fit brand/context
  • Need Australian-specific imagery
  • Need text in images (infographics, diagrams)
  • Need consistent style across multiple images
  • Need to edit/modify existing images
  • Client has no photos of their work

Don't use when:

  • Client has good photos of actual work
  • Real team photos needed (discuss first)
  • Product shots (use real products)
  • Legal/compliance concerns

Known Issues Prevention

This skill prevents 5 documented issues:

Issue #1: Resolution Parameter Case Sensitivity

Error: Request fails with invalid parameter error Source: Google AI Image Generation Docs Why It Happens: Resolution values are case-sensitive and must use uppercase 'K'. Prevention: Always use "4K", "2K", "1K" - never lowercase "4k".

// ❌ WRONG - causes request failure
config: { imageGenerationConfig: { resolution: "4k" } }

// ✅ CORRECT - uppercase required
config: { imageGenerationConfig: { resolution: "4K" } }

Issue #2: Aspect Ratio May Be Ignored (Sept 2025+)

Error: Returns 1:1 square image despite requesting 16:9 or other ratios Source: Google Support Thread Why It Happens: Backend update in September 2025 affected Gemini 2.5 Flash Image model's aspect ratio handling. Prevention: Use Gemini 3 Pro Image Preview for reliable aspect ratio control, or generate 1:1 and use multi-turn editing to extend.

// May ignore aspectRatio on Gemini 2.5 Flash Image
model: "gemini-2.5-flash-image",
config: { imageGenerationConfig: { aspectRatio: "16:9" } }

// More reliable for aspect ratio control
model: "gemini-3-pro-image-preview",
config: { imageGenerationConfig: { aspectRatio: "16:9" } }

Status: Google confirmed working on fix (Sept 2025).

Issue #3: Exceeding 5 Human Reference Images

Error: Unpredictable character consistency in generated images Source: Google AI Image Generation Docs Why It Happens: Gemini 3 Pro Image supports up to 14 reference images total, but only 5 can be human images for character consistency. Prevention: Limit human images to 5 or fewer. Use remaining slots (up to 14 total) for objects/scenes.

// ❌ WRONG - 7 human images exceeds limit
const humanImages = [img1, img2, img3, img4, img5, img6, img7];
const prompt = [
  { text: "Generate consistent characters" },
  ...humanImages.map(img => ({ inlineData: { data: img, mimeType: "image/png" }})),
];

// ✅ CORRECT - max 5 human images
const humanImages = images.slice(0, 5);  // Limit to 5
const objectImages = images.slice(5, 14);  // Up to 9 more for objects
const prompt = [
  { text: "Generate consistent characters" },
  ...humanImages.map(img => ({ inlineData: { data: img, mimeType: "image/png" }})),
  ...objectImages.map(img => ({ inlineData: { data: img, mimeType: "image/png" }})),
];

Issue #4: SynthID Watermark Cannot Be Disabled

Error: N/A (documented limitation) Source: Google AI Image Generation Docs Why It Happens: All generated images automatically include a SynthID watermark for content authenticity tracking. Prevention: Be aware of this limitation for commercial use cases. Watermark cannot be disabled by developers.

Issue #5: Google Search Grounding Excludes Image Results

Error: Generated images don't reflect visual search results, only text Source: Google AI Image Generation Docs Why It Happens: When using Google Search tool with image generation, "image-based search results are not passed to the generation model." Prevention: Only text-based search results inform the visual output. Don't expect the model to reference images from search results.

// Google Search tool enabled
const response = await ai.models.generateContent({
  model: "gemini-3-pro-image-preview",
  contents: "Generate image of latest iPhone design",
  tools: [{ googleSearch: {} }],
  config: { responseModalities: 
how to use image-gen

How to use image-gen on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add image-gen
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jezweb/claude-skills --skill image-gen

The skills CLI fetches image-gen from GitHub repository jezweb/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/image-gen

Reload or restart Cursor to activate image-gen. Access the skill through slash commands (e.g., /image-gen) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.837 reviews
  • Layla Haddad· Dec 16, 2024

    image-gen reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Isabella Chen· Nov 7, 2024

    I recommend image-gen for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sophia Ramirez· Nov 7, 2024

    Keeps context tight: image-gen is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hassan Abebe· Oct 26, 2024

    Useful defaults in image-gen — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Layla Singh· Oct 26, 2024

    image-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Sep 21, 2024

    Registry listing for image-gen matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Isabella Sanchez· Sep 17, 2024

    image-gen is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Robinson· Sep 17, 2024

    Useful defaults in image-gen — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Camila Park· Sep 5, 2024

    image-gen reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ishan Jain· Aug 24, 2024

    Registry listing for image-gen matched our evaluation — installs cleanly and behaves as described in the markdown.

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