Remote OpenClaw

ned-analytics

Browser & Automation
v1.0.1
Benign

Query your Shopify store's sales, profitability, customers, and marketing data through Ned's API.

780 downloads780 installsby @matt998759

Setup & Installation

Install command

clawhub install matt998759/ned-analytics

If the CLI is not installed:

Install command

npx clawhub@latest install matt998759/ned-analytics

Or install with OpenClaw CLI:

Install command

openclaw skills install matt998759/ned-analytics
View on GitHub

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/matt998759/ned-analytics

What This Skill Does

Ned Analytics connects Shopify store data, ad spend, and cost information into a single API, exposing profit, revenue, customer segments, and marketing metrics. This skill lets an OpenClaw agent query that data directly using natural language. Requires a Ned account and API key.

Ned calculates true profitability at the order and SKU level including COGS, shipping, and ad spend, which standard Shopify analytics does not provide.

When to Use It

  • Check today's net profit after ad spend
  • Find which products have the highest margin last 30 days
  • Identify high-value customers at churn risk
  • Compare ROAS across a date range
  • Pull contribution margin for a monthly business review

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Check today's net profit after ad spend

AGENT
  1. 1Check today's net profit after ad spend
  2. 2Find which products have the highest margin last 30 days
  3. 3Identify high-value customers at churn risk
  4. 4Compare ROAS across a date range
  5. 5Pull contribution margin for a monthly business review
OUTPUT
Query your Shopify store's sales, profitability, customers, and marketing data through Ned's API.

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Security Audits

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OpenClawBenign
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These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.

Details

LanguageMarkdown
Last updatedMar 1, 2026
View on GitHub

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