AutoEcom is an AI-driven pipeline that transforms e-commerce store products into branded, high-conversion Instagram and TikTok carousels daily.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install autoecom
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install autoecom using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AutoEcom: AI Product Carousel Automation?
AutoEcom is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between e-commerce storefronts and social media presence. By analyzing a store URL, the skill automatically extracts brand identity elements—including logos, color palettes, and brand voice—to ensure every generated post remains on-brand. It leverages Gemini 2.5 Flash for intelligent planning and nano-banana (Gemini 2.5 Flash Image) for creating stylized, high-fidelity product imagery based on real store photos.
The skill acts as a creative director and technical glue, handling everything from bestseller selection and slide composition to final publishing via the Upload-Post API. By automating the mechanical aspects of content creation while allowing for agent-driven creative oversight, it provides a seamless workflow for shop owners to maintain a consistent social media cadence without manual effort.
AutoEcom: AI Product Carousel Automation Use Cases
- Automating daily social media posts for WooCommerce or Shopify stores to increase product visibility.
- Generating high-quality branded content for Instagram and TikTok without a dedicated graphic designer.
- Scaling social media marketing for e-commerce brands by cycling through bestsellers in a round-robin format.
- Optimizing ad creative and organic post hooks based on historical engagement data and AI-driven learnings.
How AutoEcom: AI Product Carousel Automation Works
- The agent performs a preflight check to ensure the environment, API keys, and store URL are correctly configured in the Openclaw Skills workspace.
- Brand identity is extracted by crawling the store URL to identify logos, primary colors, and brand voice.
- A product is selected from the store's bestseller list using a round-robin logic to ensure diverse content coverage.
- The agent plans a 3-8 slide carousel, writing text overlays and detailed image generation prompts based on successful historical priors.
- Images are generated using the nano-banana model, referencing original product photos to maintain accuracy while applying stylistic enhancements.
- Slides are composed using Pillow to add brand logos, color gradients, and typography according to the brand kit.
- The final carousel is presented to the user for approval via a messenger bridge (like Telegram or WhatsApp).
- Upon approval, the content is published to Instagram and TikTok (as a draft) via the Upload-Post API.
AutoEcom: AI Product Carousel Automation Setup
To get started with this skill in your Openclaw Skills environment, follow these steps:
1. Environment Preparation
cd ~/Documents/skill-autoecom && python3 -m venv venv && source venv/bin/activate && pip install -r requirements.txt
2. Configuration
Create a .env file in the skill directory with the following variables:
STORE_URL=https://www.your-shop.com
GEMINI_API_KEY=your_gemini_key
UPLOAD_POST_API_KEY=your_upload_post_key
UPLOAD_POST_PROFILE=your_profile_name
3. Schedule Routines
Ensure your agent harness (Hermes or openclaw) is configured to run the daily carousel (0 9 * * *) and the weekly learning loop (0 9 * * 1).
AutoEcom: AI Product Carousel Automation Data Schema & Taxonomy
The skill organizes its operations through a structured directory and metadata system:
| Component | Description |
|---|---|
state/ |
Stores persistent data like brand_kit.json and processed.json (round-robin tracking). |
output/ |
Contains timestamped folders for each product, including plan.json, raw images, and final slides. |
learnings/ |
Holds the performance memory, including HOT_HOOKS.md and HOT_IMAGERY.md derived from engagement analytics. |
history |
.jsonl files track every candidate proposal and successfully published post for future reflection. |
AutoEcom: AI Product Carousel Automation Advanced Features
- Weekly Learning Loop: Automatically updates content strategy by analyzing engagement metrics from Upload-Post to refine hook and imagery priors.
- Multi-Platform Support: Seamlessly handles formatting for both Instagram 4:5 carousels and TikTok photo posts.
- Visual QA: The agent uses multimodal vision to inspect slides for text legibility and product fidelity before showing them to the user.
- Reflect Mode: Qualitative analysis that compares initial AI proposals against user-edited final versions to better understand user preferences.
SKILL.md
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