根据提示词自动挑选最合适的 dlazy CLI 图片模型,并执行生成命令。
设计与多媒体
亚马逊商品图套件 Amazon Product Image Suite
按亚马逊规范生成商品主图、辅图与 A+ 模块,流程分步、每张图需用户确认。
它能做什么
这个技能把亚马逊商品详情页的图片拆成三段交付:一张符合白底(RGB 255,255,255)、产品占比 85% 以上、无文字与 logo 的主图;六张辅图,覆盖信息图、场景图、多角度、细节特写、变体展示、包装清单、尺寸参照;以及八个 A+ 品牌内容模块,涵盖品牌头图、痛点、卖点矩阵、技术/成分、功效对比、使用指引、产品系列、资质背书。它本身是 dLazy CLI 的薄封装,提示词和本地媒体路径会发到 api.dlazy.com 推理,生成的图片由 files.dlazy.com 托管。技能先向用户收集产品信息与目标人群,再单独输出第一张主图的提示词草案,等用户确认后才执行一条生成命令,后续辅图与 A+ 都以已锁定的主图为视觉基线,保持色彩、材质、风格一致。主图与辅图最小 1000×1000px,1:1 比例;A+ 含 21:9 与 3:2 两种画幅,内嵌文字需保证移动端可读。
什么时候用它
- 生成符合亚马逊强制规则的白底主图
- 制作六张辅图(信息图、场景、多角度、细节、变体、包装、尺寸参照)
- 搭建八个 A+ 模块并保持叙事连贯
- 在已有详情页基础上补充或重做图片,围绕已锁定的视觉基线
技能文档
身份验证 (Authentication)
所有请求都需要 dLazy API key。推荐使用 dlazy login 完成登录:
dlazy login
该命令使用设备码流程(远程终端也可用),登录成功后 自动把 API key 写入本地 CLI 配置,无需手动复制粘贴。
备选:手动设置 API Key
如果你已有 API key,也可以直接保存:
dlazy auth set YOUR_API_KEY
CLI 会把 key 保存在你的用户配置目录(macOS/Linux 上为 ~/.dlazy/config.json,Windows 上为 %USERPROFILE%\.dlazy\config.json),文件权限仅限当前操作系统用户访问。你也可以用 DLAZY_API_KEY 环境变量按次传入。
手动获取 API Key
- 登录或在 dlazy.com 创建账号
- 访问 dlazy.com/dashboard/organization/api-key
- 复制 API Key 区域显示的密钥
每个 key 都属于你自己的 dLazy 组织,可在同一控制面板随时轮换或吊销。
关于与来源 (Provenance)
- CLI 源代码: github.com/dlazyai/cli
- 维护者: dlazyai
- npm 包名:
@dlazy/cli(本技能 install 字段固定到1.2.3版本) - 官网: dlazy.com
如果你不希望在系统上长期保留一个全局 CLI,可以按需运行:
npx @dlazy/[email protected]
如选择全局安装,技能的 metadata.clawdbot.install 字段已固定到 npm install -g @dlazy/[email protected]。安装前建议先到 GitHub 仓库审阅源码。
工作原理 (How It Works)
此技能是 dLazy 托管 API 的轻量封装。调用时:
- 你提供的提示词与参数会发送到 dLazy API(
api.dlazy.com)进行推理。 - 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储(
files.dlazy.com),以便模型读取 —— 与任何云端生成 API 的流程一致。 - API 返回的生成结果 URL 由
files.dlazy.com托管。
这是标准的 SaaS 调用模式;技能本身不会越权访问网络或文件系统,所有动作都由 dLazy CLI 完成。
亚马逊商品图套件 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_progressat a time; the rest arependingorcompleted. - Update
write_todosstatus 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:
- Confirm the image plan and count
- Produce the main image first (establish the visual baseline)
- Generate secondary images derived from the main image (preserve consistency)
- 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)
- Hero banner (21:9): brand presence
- Pain point / scenario (3:2): build empathy
- Selling-point / feature matrix (3:2): core advantages
- Key ingredients / technology (3:2): technical credibility
- Efficacy data / comparison (3:2): proof
- How to use (3:2): operating guidance
- Variants / family shot (3:2): product line
- 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:
- Confirm output scope: full suite / product images only / A+ only
- Collect product info: photo or description, core selling points, target audience
- Generate the main image: lock in the visual and material baseline
- Generate secondary images one by one: pick image types based on goals and deliver each
- Generate the A+ page: build a brand narrative across the 8 modules
- 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)
🛠️ 执行与生成指南 (CRITICAL EXECUTION INSTRUCTIONS)
你是可以执行终端命令的智能 Agent!
【严格禁止行为】
- 严禁:将提示词保存到任何文件中(如 txt, md)。
- 严禁:要求用户自己去第三方平台(如 Midjourney)生成图片。
- 严禁:一次性批量生成所有图片,或一次性执行多个命令。
【必须遵循的交互与执行流程】 你必须严格分步执行,并在每一步停下来等待用户回复:
- 第一步:主动收集需求。当用户提出需求时,不要做任何设计和生成,先向用户提问(如产品特点、目标人群、想要几张图等)。必须等待用户回答。
- 第二步:输出草案并请求确认。根据用户的回答,制定套图计划,并输出第一张图的提示词草案。询问用户:“是否确认这个提示词,可以开始生成第一张图了吗?” 必须等待用户回答“确认”。
- 第三步:单次执行终端命令。用户确认后,你必须使用终端执行命令(如
dlazy seedream-4.5 --prompt "..."),每次只能执行一个生成命令。重要:必须使用同步命令,绝不要在命令末尾加&,绝不要使用&&,这是在 Windows PowerShell 下运行! - 第四步:交付与循环。命令返回结果后,把图片 URL 发给用户,并询问“对这张满意吗?我们可以继续生成下一张了吗?”。收到确认后再继续下一步。
相关技能
基于 Pillow 的图像处理工具:缩放、裁剪、水印、格式转换与 Web 优化一次搞定。
通过文本或参考图生成与编辑图像,支持多模型路由、角色一致性以及电商产品图拍摄。
通过 20+ 个 Bria.ai 接口生成、编辑和处理可商用的图片。
按意图把图像、视频、音频请求分发到合适的 dlazy CLI 模型。
跨境电商研究型智能体,79 个内置工具覆盖亚马逊选品、关键词、竞品、专利与趋势分析,并支持 1688 货源、AI 图像与 PDF 处理。