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adamroy13/电商产品图生成器

通过 Higgsfield 生成符合平台规范的主图、辅图及 A+ 模块等产品图片卡。适用于电商列表图、产品详情卡、信息图、场景图、A+ 内容等销售场景。

电商产品图生成器 是什么?

该技能利用 CLI 工具 `higgsfield marketplace-cards create` 为电商平台(如 Amazon)生成合规的产品图片集。用户只需提供产品意图描述和可选图片,技能会自动调用后端增强器(负责隐私化的平台规则和提示词模板)并提交 `nano_banana_2` 任务,最终返回图片 URL。支持 `main`(主图)、`product-images`(主图+5 张辅图)、`aplus`(主图+7 个 A+ 模块)和 `full-set`(完整套装)四种常见范围,也可通过 `--asset` 参数自定义图片类型(如信息图、多角度、场景图等)。技能还支持引用已完成的 main job ID 来生成补充资产。使用时需确保 `higgsfield` CLI 已安装并认证,且最终输出只包含图片 URL 和简短标签,避免暴露内部信息。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/adamroy13/ai-influencer-promo-machine/tree/HEAD/.agents/skills/higgsfield-marketplace-cards

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打开一个已预加载此 Agent Skill 的新对话。

文档

电商产品图卡

使用 higgsfield marketplace-cards create 创建符合电商平台标准的产品图片。CLI 首先调用后端增强器(其中私有地维护着电商平台规则和模板),然后提交 nano_banana_2 作业,并打印结果 URL。

引导

  1. 如果 higgsfield 不在 $PATH 中,请通过 Bash 运行官方安装脚本来安装:curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh。
  2. 如果 higgsfield account status 因认证错误失败,请让用户运行 higgsfield auth login。

用户体验规则

  1. 使用用户的语言回复。
  2. 在运行之前,最多只问一个简短的确认问题。
  3. 优先使用产品图片。如果用户仅提供文本或 URL,请仅在产品详情明确时才执行。
  4. 不要自己编写最终的图片生成提示词。后端增强器负责此工作。
  5. 最终答案应仅包含准备好的图片 URL 和简短标签。

范围选择

当用户询问常见的套装时,使用 --scope:

范围创建内容
main1 张电商主图
product-images主图 + 5 张辅图
aplus主图 + 7 个 A+ 模块
full-set主图 + 5 张辅图 + 7 个 A+ 模块

仅对自定义子集使用重复的 --asset:

  • main_image
  • infographic
  • multi_angle
  • detail_shot
  • lifestyle
  • whats_in_box
  • aplus_hero_banner
  • aplus_pain_points
  • aplus_features
  • aplus_ingredients
  • aplus_efficacy
  • aplus_how_to_use
  • aplus_endorsement

命令

根据用户的请求构建并运行一个 higgsfield marketplace-cards create 命令。

对于常见套装,使用 --scope <main|product-images|aplus|full-set>、--prompt "<简短的产品和展示意图>"、可选的重复 --image <路径或上传ID>,以及可选的上下文标志:--product_context、--brand_context、--category、--visual_style。

选择参数时参考以下示例:

  • 产品图片:higgsfield marketplace-cards create --scope product-images --prompt "sparkling peach lemonade can for marketplace listing" --image ./can.png --category "beverage"
  • 完整套装:higgsfield marketplace-cards create --scope full-set --prompt "premium skincare serum, clean clinical marketplace visual system" --image ./serum.jpg --brand_context "minimal white and sage palette"
  • 自定义子集:重复 --asset,例如 --asset main_image --asset infographic --asset lifestyle。
  • 使用已完成的主图作业:结合需要补全的辅图或 A+ 模块的 --asset 值,使用 --main-job <完成的主图作业ID>。

交付

打印带标签的 URL:

Marketplace cards ready:
- Main image: https://...
- Infographic: https://...
- Lifestyle: https://...

除非用户明确要求,否则避免输出 JSON、作业 ID、内部模型名称或增强后的提示词文本。

Individual skills in this repo

This repo contains 4 individual skills — each has its own dedicated page.

adamroy13/ai-influencer-promo-machine

A 5-stage AI content pipeline using Higgsfield MCP, focused on viral UGC content split evenly across 5 formats: UGC Entertainment (challenges), Street Interview, Unboxing, Product Review, ASMR. Button-driven UX — clicks, no typed commands. Stage 1: probe Marketing Studio capability, research trends in the product's niche on Instagram, TikTok, YouTube, and turn them into prompts mapped to the 5 formats with picklist hooks. Stage 2: produce one HTML video content plan; user sets the count, the skill divides evenly across the 5 formats. Stage 3: generate videos one format batch at a time, then auto-generate the image asset pack via GPT Image 2.0. Stage 4: schedule to Meta Ads via Meta MCP. Stage 5: render a cost comparison — Higgsfield credits + USD spent vs traditional production cost. Trigger on a product image + content request, or phrases like 'create a campaign', 'build a content plan', 'make videos in Higgsfield', 'generate the image pack', 'schedule to Meta', 'run the content pipeline'.

adamroy13/ai-influencer-promo-machine

Generate images/videos via Higgsfield AI. Default: GPT Image 2 for images/design/text, Seedance 2.0 for video, Nano Banana 2/Pro for character/reference image work, Marketing Studio for ads with avatars/products/hooks, settings, plus Soul V2/Cinema/Cast/Location and Kling 3.0. Use when: "generate an image", "make a video", "animate this photo", "image-to-video", "edit/stylize/remix this image", "produce a clip", "create an ad", "make a UGC video", "product demo", "unboxing", "brand video", "presenter video", "import product from URL", "create avatar for ad", or "analyze video virality". Supports image-to-image, image-to-video, references, job/upload IDs, and Marketing Studio. Chain with higgsfield-soul-id for face/identity consistency. Virality Predictor (`brain_activity`) analyzes video virality: hook strength, attention, retention, distraction risk, and creative score. NOT for: Soul Character training (use higgsfield-soul-id), product photoshoots, marketplace listing cards, text/chat/TTS tasks.

adamroy13/ai-influencer-promo-machine

Generate brand-quality product images through Higgsfield product-photoshoot prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional brand/product visuals. Use when: "product photo", "studio shot", "lifestyle image", "Pinterest pin", "hero/banner", "carousel", "ad creative", "Meta ads", "virtual try-on", "model wearing", "person holding product", "closeup with hands", "levitating/floating/splash product", "CGI/surreal product", "restyle", "seasonal/aesthetic variation", or any product, brand, or paid-social creative. Modes: product_shot, lifestyle_scene, closeup_product_with_person, moodboard_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, restyle. Backend assembles the final prompt; never freehand it. NOT for: no-product text-to-image (use higgsfield-generate), branded avatar video (use higgsfield-generate Marketing Studio), marketplace listing cards (use higgsfield-marketplace-cards), Soul Character training (use higgsfield-soul-id).

adamroy13/ai-influencer-promo-machine

Train a Soul Character — a personalized model on a person's face that Higgsfield uses for identity-faithful image and video generation. Use when: "create my Soul", "train my face", "make my digital twin", "build me an avatar", "learn my appearance", "create a character of me", "set up identity for video", "I want my face in generated images". Chain: train Soul (one-time, returns reference_id) → use in higgsfield-generate via `--soul-id <id>` with models like `text2image_soul_v2` or `soul_cinema_studio`. NOT for: one-shot face swaps (use higgsfield-generate with --image), named-character / non-photo avatars (use higgsfield-generate with prompt).

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