An intelligent ecommerce analysis tool that transforms raw data notes and KPI exports into structured operator-ready briefs and prioritized action plans.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install commerce-bi-copilot
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 commerce-bi-copilot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Commerce BI Copilot is a specialized tool within the Openclaw Skills ecosystem designed for founders, operators, and analysts who need immediate insights without the overhead of live SQL connectors. It functions as a heuristic layer that applies a commerce-specific metric dictionary and anomaly checklist to your provided business notes. By synthesizing fragmented data from sources like Shopify, Amazon, and Meta Ads, it helps teams understand the 'why' behind their performance metrics.
This skill is particularly valuable for teams that rely on manual exports or rough KPI snapshots. It bridges the gap between raw numbers and strategic execution, ensuring that metric alignment on critical figures like GMV, ROAS, and refund rates remains consistent across the organization. Using this skill ensures your business reviews are backed by structured analysis rather than just anecdotal observations.
To utilize this capability, ensure you have an agent environment configured to run Openclaw Skills. There is no requirement for live database credentials or API keys. Simply include the skill in your agent context and provide raw KPI data through prompts.
# Example of initiating an analysis session
openclaw run commerce-bi-copilot --input "weekly_notes.txt"
The skill organizes input and output data based on a commerce-first taxonomy to ensure consistency across the Openclaw Skills framework.
| Data Component | Description | Example Metrics |
|---|---|---|
| Core KPIs | High-level performance indicators | GMV, Net Revenue, Orders |
| Efficiency Metrics | Return on investment and spend health | ROAS, MER, CAC |
| Operations | Logistics and post-purchase health | Refund Rate, Inventory Health |
| Mix Analysis | Channel and product distribution | Brand vs Generic, Product Mix |
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