Connect your Shopify store and marketing data to an AI agent to uncover true profitability down to the order and SKU level.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ned-analytics
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ned-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Ned Analytics acts as a comprehensive AI business partner for Shopify merchants, bridging the gap between raw data and actionable insights. By integrating Shopify, Meta Ads, Google Ads, Klaviyo, and 3PL data, this skill allows an AI agent to analyze true profitability, accounting for every ad dollar, shipping cost, and return. Unlike standard dashboards, it provides a unified data warehouse accessible via natural language queries within the Openclaw Skills ecosystem.
This skill enables your AI agent to query profit down to the order and product level. Every SKU and every ad dollar is accounted for, providing a complete picture of true profitability rather than just top-line revenue. It transforms complex ecommerce data into conversational intelligence for better decision-making.
To use this skill, you must obtain a Ned API key (starting with ned_live_) from meetned.com. Store the key in your environment variables:
export NED_API_KEY="ned_live_xxxxx"
Alternatively, you can provide the key per request when prompted by the AI agent. The skill uses the base API URL https://api.meetned.com/api/v1 and requires Bearer token authentication.
The skill organizes ecommerce data into several high-level categories available via the Openclaw Skills framework:
| Category | Key Metrics Included |
|---|---|
| Profitability | Net profit, contribution margin, total COGS, shipping costs, and ad spend. |
| Product Performance | Units sold, revenue, profit per unit, and product-specific margin percentages. |
| Customer Insights | LTV, churn risk tiers, activity levels, and whale segment identification. |
| Marketing | Total ad spend, impressions, CTR, CPC, and ROAS correlated with profit data. |
All monetary values are returned in the store's base currency, and timestamps are provided in UTC.
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