Agent skill

Product Image Generator

by LeoYeAI in LeoYeAI/openclaw-master-skills

Generates professional product images for e-commerce platforms (Amazon, Shopify, eBay, etc.).

MITAuto-check passedSales & Support

Install Product Image Generator

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill product-image-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills product-image-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-image-generator .claude/skills/product-image-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
product-image-generator
GitHub stars
2.2k
Token cost
~4.6k tokens
SKILL.md length
1,454 words
Files
31 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Generates professional product images for e-commerce platforms (Amazon, Shopify, eBay, etc.).

  • Works in 7 steps: Load Preferences (EXTEND.md) ⛔ BLOCKING → Analyze Product → analysis.md → Confirmation 1 - Product Understanding ⚠️ → …
  • User mentions 商品图
  • SKILL.md covers Usage, Options, Three Dimensions and Style Gallery, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Image Generator is an agent skill from LeoYeAI/openclaw-master-skills. Generates professional product images for e-commerce platforms (Amazon, Shopify, eBay, etc.). Supports 8 visual styles and 6 scene types optimized for different product categories. Use when user mentions "商品图", "product images", "Amazon listing", "电商图片", or needs e-commerce product photography.

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 35 other files, including reference files (for example `QUICKSTART.md`, `README.md` and `_meta.json`).

It sits in Sales & Support, covering E-commerce operations and Image generation. It works with Shopify. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • User mentions 商品图
  • Needs e-commerce product photography

Example prompts

  • “product images”
  • “Amazon listing”
  • “Use the product-image-generator skill to generate professional product images for e-commerce platforms (Amazon, Shopify, eBay, etc.)”
  • “/product-image-generator”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Load Preferences (EXTEND.md) ⛔ BLOCKING
  2. Analyze Product → analysis.md
  3. Confirmation 1 - Product Understanding ⚠️
  4. Generate 3 Outline + Style Variants
  5. Confirmation 2 - Outline & Style & Platform Selection ⚠️
  6. Generate Images
  7. Completion Report

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Image Generator loads about 4.6k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 1,454 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~19k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,454 words, ~4,561 tokens.

Download SKILL.mdSave it as .claude/skills/product-image-generator/SKILL.md (or your agent's skills folder). This skill also uses 30 other files; get the full folder from GitHub.
name
product-image-generator
description
Generates professional product images for e-commerce platforms (Amazon, Shopify, eBay, etc.). Supports 8 visual styles and 6 scene types optimized for different product categories. Use when user mentions "商品图", "product images", "Amazon listing", "电商图片", or needs e-commerce product photography.
metadata.version
1.0.0

E-commerce Product Image Generator

Create professional product images optimized for e-commerce platforms with platform-specific requirements and multiple visual styles.

Usage

bash
# Auto-select style based on product
/product-image-generator product-description.md

# Specify style
/product-image-generator product.md --style minimal

# Specify platform (auto-adjusts image requirements)
/product-image-generator product.md --platform amazon

# Specify scene type
/product-image-generator product.md --scene studio

# Combine options
/product-image-generator product.md --style premium --platform shopify --scene lifestyle

# Direct input
/product-image-generator
[paste product description]

# Direct input with options
/product-image-generator --style minimal --scene studio
[paste product description]

# With reference image (for style consistency)
/product-image-generator product.md --ref brand-style.png

# Multiple reference images
/product-image-generator product.md --ref style.png --ref competitor.jpg

Options

OptionDescription
--style <name>Visual style (see Style Gallery)
--scene <type>Scene type (see Scene Gallery)
--platform <name>E-commerce platform (auto-adjusts requirements)
--ref <path>Reference image(s) for style consistency

Three Dimensions

DimensionControlsOptions
StyleVisual aesthetics: mood, color treatmentminimal, premium, lifestyle, bold, soft, tech, natural, luxury
SceneBackground and contextstudio, lifestyle, contextual, exploded, comparison, infographic
PlatformTechnical requirementsamazon, shopify, ebay, etsy, taobao, jd, pinduoduo

Style × Scene × Platform can be freely combined. Example: --style premium --scene lifestyle --platform amazon creates a high-end lifestyle shot meeting Amazon's image requirements.

StyleDescriptionBest For
minimal (Default)Clean, white background, focus on productElectronics, accessories, professional products
premiumSophisticated, elegant lighting, subtle shadowsLuxury goods, jewelry, high-end cosmetics
lifestyleProduct in natural use contextHome goods, fashion, outdoor products
boldHigh contrast, vibrant, attention-grabbingSports products, gaming, youth-oriented items
softGentle lighting, pastel tones, warmBaby products, skincare, wellness items
techFuturistic, sleek, modernElectronics, gadgets, software, AI products
naturalOrganic, eco-friendly, earthy tonesSustainable products, food, natural cosmetics
luxuryGold accents, dramatic lighting, rich colorsPremium brands, jewelry, high-end fashion

Detailed style definitions: references/presets/<style>.md

SceneDescriptionImage Count
studio (Default)Pure white/gradient background, professional studio lighting1-3 images
lifestyleProduct in real-life usage scenario2-5 images
contextualProduct in environment, staged setting2-4 images
explodedComponent breakdown, features highlighted3-6 images
comparisonBefore/after, product vs alternatives2-4 images
infographicFeatures, specs, benefits with text overlays2-5 images

Detailed scene definitions: references/elements/scene-guide.md

Platform Requirements

PlatformMain ImageAdditional ImagesNotes
amazon1000x1000+, pure whiteUp to 9 imagesMain image must be on pure white background
shopify1024x1024+ recommendedUnlimitedFlexible, but 1:1 or 4:3 recommended
ebay500x500+ minimumUp to 12 freeWhite background preferred
etsy760x760+Up to 10 imagesLifestyle shots perform well
taobao800x800+Up to 15 imagesInfographic style popular
jd800x800+Up to 15 imagesClean, professional style
pinduoduo750x750+Up to 10 imagesValue-focused presentation

Platform-specific guidelines: references/platforms/<platform>.md

Auto Selection

Product CategoryStyleScene
Electronics, gadgetstech or minimalstudio + exploded
Fashion, accessoriespremium or lifestylelifestyle + contextual
Beauty, cosmeticssoft or premiumstudio + lifestyle
Home, furniturelifestyle or naturalcontextual + lifestyle
Sports, outdoorbold or lifestylelifestyle + contextual
Jewelry, luxuryluxury or premiumstudio + lifestyle
Baby, kidssoft or naturallifestyle + contextual
Food, supplementsnatural or minimalstudio + infographic
Tools, hardwarebold or techexploded + infographic

Outline Strategies

Strategy A: Product-Focused (产品聚焦型)
AspectDescription
ConceptProduct as hero, clean presentation
FeaturesMultiple angles, detail shots, pure backgrounds
Best forElectronics, accessories, luxury items
StructureHero shot → Angle variations → Detail close-ups → Scale/context
Strategy B: Lifestyle-Focused (场景融入型)
AspectDescription
ConceptProduct in natural use environment
FeaturesContext-rich, emotional connection, aspirational
Best forHome goods, fashion, outdoor products
StructureLifestyle hero → Usage scenario → Benefits in context → Social proof
Strategy C: Information-Focused (信息传达型)
AspectDescription
ConceptFeatures and benefits clearly communicated
FeaturesText overlays, callouts, comparisons
Best forComplex products, tools, supplements
StructureHero with key benefit → Feature breakdown → Comparison → Specs/usage

File Structure

Each session creates an independent directory named by product slug:

product-images/{product-slug}/
├── source-{slug}.{ext}             # Source files (description, reference images)
├── analysis.md                     # Product analysis + positioning
├── outline-strategy-a.md           # Strategy A: Product-focused
├── outline-strategy-b.md           # Strategy B: Lifestyle-focused
├── outline-strategy-c.md           # Strategy C: Information-focused
├── outline.md                      # Final selected/merged outline
├── prompts/
│   ├── 01-hero-[slug].md
│   ├── 02-detail-[slug].md
│   └── ...
├── 01-hero-[slug].png
├── 02-detail-[slug].png
└── NN-infographic-[slug].png

Slug Generation:

  1. Extract product name (2-4 words, kebab-case)
  2. Example: "无线蓝牙耳机" → wireless-earbuds

Conflict Resolution: If product-images/{product-slug}/ already exists:

  • Append timestamp: {product-slug}-YYYYMMDD-HHMMSS

Workflow

Progress Checklist
Product Image Generation Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Step 1: Analyze product → analysis.md
- [ ] Step 2: Confirmation 1 - Product understanding ⚠️ REQUIRED
- [ ] Step 3: Generate 3 outline + style variants
- [ ] Step 4: Confirmation 2 - Outline & style & platform ⚠️ REQUIRED
- [ ] Step 5: Generate images (sequential)
- [ ] Step 6: Completion report
Flow
Input → [Step 0: Preferences] ─┬─ Found → Continue
                               │
                               └─ Not found → First-Time Setup ⛔ BLOCKING
                                              │
                                              └─ Complete setup → Save EXTEND.md → Continue
                                                                                      │
        ┌─────────────────────────────────────────────────────────────────────────────┘
        ↓
Analyze → [Confirm 1] → 3 Outlines → [Confirm 2: Outline + Style + Platform] → Generate → Complete
Step 0: Load Preferences (EXTEND.md) ⛔ BLOCKING

Purpose: Load user preferences or run first-time setup.

CRITICAL: If EXTEND.md not found, MUST complete first-time setup before ANY other steps.

Use Bash to check EXTEND.md existence:

bash
# Check project-level first
test -f .teamclaw-skills/product-image-generator/EXTEND.md && echo "project"

# Then user-level
test -f "$HOME/.teamclaw-skills/product-image-generator/EXTEND.md" && echo "user"
ResultAction
FoundRead, parse, display summary → Continue to Step 1
Not found⛔ BLOCKING: Run first-time setup → Save EXTEND.md → Step 1

First-Time Setup (when EXTEND.md not found):

Use AskUserQuestion with ALL questions in ONE call:

  1. Default platform preference: amazon / shopify / ebay / etsy / taobao / jd / pinduoduo / no preference
  2. Default style preference: minimal / premium / lifestyle / bold / soft / tech / natural / luxury
  3. Watermark: Enable / Disable (if enable, specify text and position)
  4. Language: Chinese / English / Auto-detect

Schema: references/config/preferences-schema.md

Step 1: Analyze Product → analysis.md

Actions:

  1. Save source content:
    • If file path provided: use as-is
    • If pasted content: save to source.md
    • Backup rule: If exists, rename to source-backup-YYYYMMDD-HHMMSS.md
  2. Read and analyze product information
  3. Product analysis:
    • Category identification
    • Target audience
    • Key features and selling points
    • Competitive positioning
    • Visual opportunities
  4. Detect product language
  5. Determine recommended image count and types
  6. Generate clarifying questions (see Step 2)
  7. Save to analysis.md
Step 2: Confirmation 1 - Product Understanding ⚠️

Purpose: Validate understanding + collect missing info.

Display summary:

  • Product category identified
  • Key features extracted
  • Target audience
  • Recommended platform match

Use AskUserQuestion for:

  1. Primary selling point (multiSelect: true):

    • Design/aesthetics
    • Functionality/features
    • Price/value
    • Quality/durability
    • Brand/status
    • Innovation/technology
    • Sustainability/eco-friendly
    • Convenience/ease of use
  2. Target customer:

    • Budget-conscious
    • Quality-focused
    • Luxury/premium
    • Tech-savvy
    • Eco-conscious
    • Family-oriented
    • Professional/business
    • Youth/trend-focused
  3. Main use scenario:

    • Indoor/home
    • Outdoor
    • Office/work
    • Travel
    • Sports/fitness
    • Social/events
    • Auto
  4. Additional context (optional)

After response: Update analysis.md → Step 3

Step 3: Generate 3 Outline + Style Variants

Create three distinct strategy variants, each with outline structure and visual style recommendation.

StrategyFilenameFocusRecommended Style
Aoutline-strategy-a.mdProduct-focusedminimal, tech
Boutline-strategy-b.mdLifestyle-focusedlifestyle, soft, natural
Coutline-strategy-c.mdInformation-focusedbold, infographic-style

Outline format (YAML front matter + content):

yaml
---
strategy: a  # a, b, or c
name: Product-Focused
style: minimal
style_reason: "Clean presentation highlights product design and build quality"
scene: studio
platform: amazon
image_count: 5
---

## P1 Hero Shot
**Type**: hero
**Purpose**: Main product image, first impression
**Visual**: Product on pure white background, professional lighting
**Platform**: Amazon main image compliant (1000x1000, pure white)

## P2 Angle Variation
**Type**: angle
**Purpose**: Show product from different perspective
**Visual**: 45-degree angle, slight shadow for depth

## P3 Detail Close-up
**Type**: detail
**Purpose**: Highlight key feature or quality detail
**Visual**: Macro shot of texture/material/connection point

...

After response: Update analysis.md → Step 3

Show full SKILL.md (584 more words)Show less
Step 4: Confirmation 2 - Outline & Style & Platform Selection ⚠️

Purpose: User chooses strategy, confirms style and platform.

Display each strategy:

  • Strategy name + image count + recommended style
  • Image-by-image summary

Use AskUserQuestion with questions:

Question 1: Outline Strategy

  • Strategy A (Product-focused)
  • Strategy B (Lifestyle-focused)
  • Strategy C (Information-focused)
  • Combine: specify images from each

Question 2: Visual Style

  • Use strategy's recommended style
  • Or select from: minimal / premium / lifestyle / bold / soft / tech / natural / luxury
  • Or type custom style description

Question 3: Platform

  • Use strategy's recommended platform
  • Or select: amazon / shopify / ebay / etsy / taobao / jd / pinduoduo
  • Custom: specify requirements

Question 4: Scene Type

  • Use strategy's recommended scene
  • Or select: studio / lifestyle / contextual / exploded / comparison / infographic

After response:

  • Single strategy → copy to outline.md with confirmed settings
  • Combination → merge specified images
  • Update outline.md frontmatter with final settings
Step 5: Generate Images

With confirmed outline + style + scene + platform:

Visual Consistency — Reference Image Chain:

  1. Check for user-provided reference images (--ref option)

    • If provided: Use as primary style reference
    • If not provided: Use internal reference chain (see below)
  2. Internal Reference Chain (when no user ref provided):

    • Generate image 1 (hero) FIRST — without --ref
    • Use image 1 as --ref for ALL remaining images (2, 3, ..., N)

For each image:

  1. Save prompt to prompts/NN-{type}-[slug].md
    • Backup rule: If exists, rename to prompts/NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.md
    • Include reference image paths in prompt
  2. Generate image:
    • With user ref: --ref <user-reference.png> for all images
    • Image 1 (no user ref): Generate without --ref (establishes visual anchor)
    • Images 2+ (no user ref): Generate with --ref <image-01-path>
    • Backup rule: If image exists, rename with timestamp
  3. Report progress after each generation

Reference Image Best Practices:

Reference TypeUsageEffect
Style referenceBrand guideline imagesMaintains brand consistency
Competitor referenceSimilar product imagesMatches category standards
Internal chain (image 1)First generated imageEnsures series consistency

Platform Compliance:

  • Apply platform-specific requirements automatically
  • Amazon: Pure white background for main image
  • Size adjustments based on platform

Session Management: Use consistent session ID for all images in the set: product-{slug}-{timestamp}

Step 6: Completion Report
Product Image Set Complete!

Product: [product name]
Strategy: [A/B/C/Combined]
Style: [style name]
Scene: [scene type]
Platform: [platform] (requirements applied)
Location: [directory path]
Images: N total

✓ analysis.md
✓ outline-strategy-a.md
✓ outline-strategy-b.md
✓ outline-strategy-c.md
✓ outline.md (selected: [strategy])

Files:
- 01-hero-[slug].png ✓ Main image ([platform] compliant)
- 02-angle-[slug].png ✓ Angle variation
- 03-detail-[slug].png ✓ Detail shot
...

Image Modification

ActionSteps
EditUpdate prompt file FIRST → Regenerate with same session ID
AddSpecify position → Create prompt → Generate → Renumber files
DeleteRemove files → Renumber subsequent → Update outline

Platform-Specific Guidelines

Amazon
  • Main image: Pure white background (RGB 255,255,255)
  • Minimum 1000x1000 pixels for zoom feature
  • Product must fill 85%+ of frame
  • No text, logos, or watermarks on main image
  • Additional images: lifestyle, infographic, comparison allowed
Shopify
  • Recommended 1024x1024 or 4:3 aspect ratio
  • More flexible styling
  • Lifestyle images perform well
  • Consistent style across all product images
eBay
  • Minimum 500x500 pixels
  • White background preferred but not required
  • Up to 12 free images per listing

Content Breakdown Principles

  1. Hero Image (Image 1): Main product shot, platform-compliant
  2. Angle Variations: Show product from multiple perspectives
  3. Detail Shots: Highlight quality, features, materials
  4. Lifestyle/Context: Product in use, emotional connection
  5. Infographic: Features, specs, benefits with callouts
  6. Comparison: Before/after, vs alternatives
  7. Social Proof: Reviews, testimonials (if applicable)

References

Detailed templates in references/ directory:

Elements:

  • elements/scene-guide.md - Scene types and compositions
  • elements/lighting.md - Lighting setups and moods
  • elements/composition.md - Framing and composition rules

Presets:

  • presets/<style>.md - Style definitions and prompts

Workflows:

  • workflows/analysis-framework.md - Product analysis
  • workflows/outline-template.md - Outline templates
  • workflows/prompt-assembly.md - Prompt assembly

Platforms:

  • platforms/amazon.md - Amazon requirements
  • platforms/shopify.md - Shopify requirements
  • platforms/ebay.md - eBay requirements
  • platforms/etsy.md - Etsy requirements
  • platforms/taobao.md - Taobao requirements
  • platforms/jd.md - JD.com requirements
  • platforms/pinduoduo.md - Pinduoduo requirements

Config:

  • config/preferences-schema.md - EXTEND.md schema
  • config/watermark-guide.md - Watermark configuration

Notes

  • Auto-retry once on failure
  • Platform requirements auto-applied
  • Two confirmation points required (Steps 2 & 4)
  • Reference image chain ensures visual consistency

Extension Support

Custom configurations via EXTEND.md. See Step 0 for paths.

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 30 other files (references) in skills/product-image-generator of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • QUICKSTART.md
  • README.md
  • _meta.json
  • examples/test-products.md
  • examples/wireless-earbuds-example.md
  • references/config/first-time-setup.md
  • references/config/preferences-schema.md
  • references/config/watermark-guide.md
  • references/elements/scene-guide.md
  • references/platforms/amazon.md
  • references/platforms/ebay.md
  • references/platforms/etsy.md
  • references/platforms/jd.md
  • references/platforms/pinduoduo.md
  • references/platforms/shopify.md
  • … and 15 more

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Product Image Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Works with

Questions about Product Image Generator

What does Product Image Generator do?

Generates professional product images for e-commerce platforms (Amazon, Shopify, eBay, etc.). Product Image Generator is an agent skill from LeoYeAI/openclaw-master-skills.).

When should I use Product Image Generator?

Product Image Generator fits situations like: user mentions 商品图; needs e-commerce product photography.

How do I install Product Image Generator in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill product-image-generator -a claude-code`. Or copy the skill folder (skills/product-image-generator in LeoYeAI/openclaw-master-skills) into .claude/skills/product-image-generator in your project. Claude Code loads it when a task matches its description.

How do I install Product Image Generator in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill product-image-generator -a codex`. Or copy the skill folder (skills/product-image-generator in LeoYeAI/openclaw-master-skills) into .agents/skills/product-image-generator in your project. Codex loads it when a task matches its description.

Can I use Product Image Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill product-image-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-image-generator, .gemini/skills/product-image-generator, .github/skills/product-image-generator and .opencode/skills/product-image-generator in your project.

What does Product Image Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Image Generator is instructions for the agent only.

Does Product Image Generator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Image Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Product Image Generator use?

Product Image Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Image Generator use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.

What are the alternatives to Product Image Generator?

Skills that share tags, products or a category with Product Image Generator: Ecom Shot (MagicCube/agentara, 516 stars), Checkout Purchase (keypo-us/keypo-cli, 182 stars), Commercial Media Production (fal-ai-community/skills, 251 stars) and Seedance Ecommerce Ad (beshuaxian/higgsfield-seedance2-jineng, 952 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Image Generator?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.