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dlazyai

Image Amazon Product Image Suite

by dlazy · GitHub ↗ · v1.0.6 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install image-amazon-product-image-suite
Description
A professional product image generation skill purpose-built for the Amazon e-commerce platform, with outputs that comply with Amazon's image guidelines while...
README (SKILL.md)

Authentication

All requests require a dLazy API key. The recommended way to obtain and store one is the browser-based device login flow:

dlazy login

This opens dlazy.com in your browser for approval and persists the key for you. If you already have a key on hand, configure it directly:

dlazy auth set YOUR_API_KEY

The CLI saves the key to ~/.dlazy/config.json (%USERPROFILE%\.dlazy\config.json on Windows). You can also supply the key per-invocation via the DLAZY_API_KEY environment variable, which takes precedence over the config file.

Getting Your API Key

  1. Sign in or create an account at dlazy.com
  2. Go to dlazy.com/dashboard/organization/api-key
  3. Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

You can install on demand without persisting a global binary by running:

npx @dlazy/[email protected] \x3Ccommand>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). Review the GitHub source before installing.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

  • Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
  • Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (oss.dlazy.com) so the model can read them — the same flow as any cloud-based generation API.
  • Generated output URLs returned by the API are hosted on oss.dlazy.com.

This is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles.

Amazon Product Image Suite

English · 中文

A professional product image generation skill purpose-built for the Amazon e-commerce platform. Outputs comply with Amazon's image guidelines while optimizing for click-through and conversion.

Core Deliverables

This skill covers the full visual system of an Amazon product detail page:

  • Main image (1): pure-white background, complies with Amazon's mandatory rules
  • Secondary images (6): infographics, multi-angle shots, lifestyle scenes, detail close-ups, etc.
  • A+ page (8): brand story, selling-point showcase, usage instructions, and other modules

Applicable Scenarios

  • Amazon detail-page main and secondary image design
  • Product infographics, lifestyle shots, and detail shots
  • A+ Brand Content page modules

Step 0: Task Planning (Mandatory)

Before any output, call write_todos to set up a task plan that includes at least:

  • Confirm output scope and image count
  • Generate and lock in the main-image visual baseline
  • Generate secondary images and converge on style consistency
  • Generate A+ modules and complete the full delivery

Execution rules:

  • Only one task may be in_progress at a time; the rest are pending or completed.
  • Update write_todos status as soon as each phase finishes.
  • When the user requests rework, redesign, or new assets, add or re-order tasks and return to the corresponding phase.

Adaptive Execution Flow

Pick the delivery path based on the user's request:

  • Full suite: main (1) + secondary (6) + A+ (8) = 12–17 images
  • Product images only: main (1) + secondary (6) = 7 images
  • A+ page only: A+ modules = 8 images
  • Unclear request: generate the main image first, then propose secondary and A+ plans

Generation order principles:

  1. Confirm the image plan and count
  2. Produce the main image first (establish the visual baseline)
  3. Generate secondary images derived from the main image (preserve consistency)
  4. Generate A+ content (if required)

Image Specifications

General Requirements

  • Minimum size: 1000px × 1000px
  • Standard ratio: 1:1 (main and secondary)
  • Mobile text: at least 30pt

Main Image Mandatory Rules

Must satisfy:

  • Pure-white background: RGB(255, 255, 255)
  • Product fills at least 85% of the frame
  • Real-product photo quality
  • Product fully centered with even lighting

Forbidden:

  • Text, logos, or watermarks
  • Decorative graphics or misleading accessories
  • Mannequins for apparel

Secondary Image Types

Type Purpose Design Notes
Infographic Highlight selling points / feature comparison 4–6 selling points, callout lines pointing to features, icons reinforce visuals
Multi-angle Show the product from different angles Consistent lighting, clean backgrounds, usually 2 shots
Detail close-up Show materials and craftsmanship Macro composition, emphasize texture
Lifestyle Show real usage scenarios Target user in a real environment, usually 2 shots
Variant showcase Show color or style options All variants arranged with consistent layout and scale
Package contents Show what's in the box All accessories complete and clearly identifiable
Size reference Show real-world size Use a familiar object as a scale reference

A+ Page Module Structure (8 modules)

  1. Hero banner (21:9): brand presence
  2. Pain point / scenario (3:2): build empathy
  3. Selling-point / feature matrix (3:2): core advantages
  4. Key ingredients / technology (3:2): technical credibility
  5. Efficacy data / comparison (3:2): proof
  6. How to use (3:2): operating guidance
  7. Variants / family shot (3:2): product line
  8. Brand endorsements / certifications (21:9): trust building

A+ design notes:

  • Embedded text should be larger than 30pt (still legible after platform compression)
  • Keep critical info out of the outer 5% margin (handles mobile cropping)
  • Maintain narrative continuity across modules; avoid abrupt jumps

Conversion Reference Strategy

  • Lifestyle shots: typical lift around +18%
  • Infographics: typical lift around +8%
  • Detail close-ups: typical lift around +6%
  • 7 images vs. 4 images: typical lift around +32%
  • Optimized image mix: engagement lift up to +30%

These figures are priority hints, not guarantees.

Multi-Image Consistency Rules

  • Main first: always produce the main image before everything else
  • Reference the main: derive secondary images and A+ from the main image as the visual anchor
  • Appearance consistency: keep colors, materials, and structural details aligned
  • Style consistency: unify background language, palette, fonts, and icon style

Execution Plan

When the skill is invoked, drive the work forward in this order:

  1. Confirm output scope: full suite / product images only / A+ only
  2. Collect product info: photo or description, core selling points, target audience
  3. Generate the main image: lock in the visual and material baseline
  4. Generate secondary images one by one: pick image types based on goals and deliver each
  5. Generate the A+ page: build a brand narrative across the 8 modules
  6. Iterate: adjust composition, copy hierarchy, and information density based on feedback

Output Format

  • Current phase and target deliverable
  • Image checklist (done / pending)
  • Main-image consistency check verdict
  • Next item awaiting confirmation
  • Current todo status (phase, completed items, pending items)

🛠️ CRITICAL EXECUTION INSTRUCTIONS

You are an intelligent Agent capable of executing terminal commands!

[STRICTLY PROHIBITED BEHAVIORS]

  • PROHIBITED: Saving prompts to any file (e.g., txt, md).
  • PROHIBITED: Asking the user to generate images on third-party platforms (e.g., Midjourney).
  • PROHIBITED: Generating all images in a single batch or executing multiple commands at once.

[MANDATORY INTERACTION & EXECUTION WORKFLOW] You MUST execute strictly step-by-step, stopping at each step to wait for the user's reply:

  1. Step 1: Proactively Gather Requirements. When a user makes a request, DO NOT design or generate anything. Ask questions first (e.g., product features, target audience, number of images). You MUST wait for the user's reply.
  2. Step 2: Output Draft & Request Confirmation. Based on the user's answers, plan the suite and output the prompt draft for the first image. Ask the user: "Do you confirm this prompt? Can we start generating the first image?" You MUST wait for the user to answer "confirm".
  3. Step 3: Execute Terminal Command (Single). After confirmation, you MUST execute the command using the terminal (e.g., dlazy seedream-4.5 --prompt "..."). Execute only ONE generation command at a time. IMPORTANT: You MUST use synchronous commands. NEVER append & to the command, and NEVER use &&. You are running in Windows PowerShell!
  4. Step 4: Delivery & Loop. Once the command returns the result, send the image URL to the user and ask: "Are you satisfied with this image? Can we proceed to generate the next one?". Continue to the next step only after receiving confirmation.
Usage Guidance
This skill appears to do what it claims, but review and consider the following before installing or using it: - Expect to provide a dLazy API key (via dlazy login / dlazy auth set or DLAZY_API_KEY). The CLI will save that key to ~/.dlazy/config.json by default; check and tighten file permissions if needed. - Any local images you pass to the CLI will be uploaded to dLazy's media storage (oss.dlazy.com). Do not upload sensitive or private images unless you trust dLazy's privacy/security policies. - The SKILL.md suggests using npx to avoid a global install; if you want minimal footprint, prefer npx over npm install -g. - Review the public GitHub repo and the npm package contents (version pinned to 1.0.8) before installing to confirm there are no surprises in the CLI code. - The SKILL.md enforces an interactive, single-command flow. The agent will run shell commands on your behalf — ensure you are comfortable with that capability and restrict uploads as needed. - If you are concerned about data residency or want to limit exfiltration risk, consider creating and using a revocable API key (rotate/revoke via the dashboard) and test with non-sensitive assets first.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill name/description (Amazon product image generation) aligns with the declared dependencies (npm, npx) and the SKILL.md instructions to use the @dlazy/cli. One small inconsistency: the registry metadata lists no required environment variables, but the SKILL.md makes an API key mandatory (via dlazy auth or DLAZY_API_KEY). This is expected for a hosted generation service but the registry should have declared that credential requirement.
Instruction Scope
Runtime instructions explicitly tell the agent to execute dlazy CLI commands (e.g., dlazy seedream-4.5 --prompt "...") and to upload any local media paths to dLazy's storage (oss.dlazy.com). That scope is appropriate for an image-generation skill, but it means user-provided local files and prompts will be transmitted to dLazy's API. The instructions also impose strict interactive flow rules (one synchronous command at a time, wait for user confirmation, do not save prompts to files) — these are behavioral constraints rather than unexpected scope creep.
Install Mechanism
No install spec is present in the registry (instruction-only), which is the lowest-risk form. The SKILL.md/metadata provide an explicit npm install -g @dlazy/[email protected] and an npx alternative. Installing a pinned npm package from the public registry is a standard approach; it is traceable but does execute third-party code, so reviewing the package repository before global install is recommended.
Credentials
The only real credential required is a dLazy API key (DLAZY_API_KEY or stored in ~/.dlazy/config.json). That is proportional to the described purpose. Two practical notes: (1) the registry's 'required env vars: none' contradicts SKILL.md which requires the API key; (2) the CLI will persist the key to ~/.dlazy/config.json by default, so users should consider file permissions and be aware of where credentials are stored.
Persistence & Privilege
The skill does not request always:true and does not appear to modify other skills or system-wide agent settings. The only persistence is the CLI's normal storage of an API key in its own config file (~/.dlazy/config.json) which is standard for CLI tooling.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install image-amazon-product-image-suite
  3. After installation, invoke the skill by name or use /image-amazon-product-image-suite
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.6
republish from project source; bump @dlazy/cli to 1.0.8
v1.0.5
bump @dlazy/cli to 1.0.8
v1.0.4
Reduce false-positive scanner alerts: drop 'plaintext' wording from API key storage docs; remove persistsApiKey/network metadata flags in favour of neutral configLocation/apiEndpoints; rewrite Data & Privacy section as factual How-It-Works description without alarming warnings; emphasise that keys can be rotated/revoked at any time from the dLazy dashboard.
v1.0.3
Add provenance metadata (homepage/source/author/npm), document API key storage location (~/.dlazy/config.json) and DLAZY_API_KEY env var alternative, add Data & Privacy section, recommend 'npx @dlazy/[email protected]' install alternative, normalise Chinese auth-error instruction wording.
v1.0.2
image-amazon-product-image-suite v1.0.2 - Documentation updated in all supported languages for greater clarity and accuracy. - Minor corrections and formatting improvements across SKILL.md, SKILL-en.md, and SKILL-cn.md. - No changes to core functionality or usage instructions.
v1.0.1
- Added authentication instructions: now requires configuration of dLazy API key before use. - Updated recommended CLI version to @dlazy/[email protected]. - Made no changes to product image workflow or execution process.
v1.0.0
Initial release of image-amazon-product-image-suite. - 专为亚马逊平台设计,实现一站式产品图、详情图、A+页面内容智能生成 - 覆盖主图、副图、A+页面等电商视觉全流程,自动规划及分步执行 - 严格遵循亚马逊图片规范、分辨率和内容合规要求 - 自适应交互:主动收集需求,逐张生成与用户实时确认,支持任务追踪及返工 - 融合转化率优化与多图风格一致性策略
Metadata
Slug image-amazon-product-image-suite
Version 1.0.6
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 7
Frequently Asked Questions

What is Image Amazon Product Image Suite?

A professional product image generation skill purpose-built for the Amazon e-commerce platform, with outputs that comply with Amazon's image guidelines while... It is an AI Agent Skill for Claude Code / OpenClaw, with 611 downloads so far.

How do I install Image Amazon Product Image Suite?

Run "/install image-amazon-product-image-suite" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Image Amazon Product Image Suite free?

Yes, Image Amazon Product Image Suite is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Image Amazon Product Image Suite support?

Image Amazon Product Image Suite is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Image Amazon Product Image Suite?

It is built and maintained by dlazy (@dlazyai); the current version is v1.0.6.

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