agentic-os
AFaffaan-m/ECC278k4,046 new stars in the last 7 days
ecommerce-analytics
- Star
- 2,173
- Category
- Data
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- MIT
- Last commit
- Oct 12, 2026
resources/builtin/marketplace/skills/c91a84e7b206/SKILL.md
View on GitHubEcommerce Analytics
- Identify the business decision, sources, period, currency, timezone and data freshness. Start from supplied exports; there is no mandatory data service.
- Read reconciliation and metrics. Establish row grain and source definitions before joining or calculating. Preserve missing values and unmatched records.
- Use available local computation for multi-row arithmetic; keep a reproducible calculation or query with the source/field map. Inspect totals and counterexamples, not only a chart.
- Compare like periods, products and channels. Separate volume, price, mix, acquisition, refund and cost effects where the data supports them. Describe causal explanations as hypotheses unless independently established.
- Deliver the requested metrics and main drivers with formulas, reconciliation, sources, prioritized actions and the smallest missing inputs. A missing cost category limits profit interpretation rather than blocking all supported sales analysis.
For platform exports read channel mapping. This package provides analytical methods; it does not install a platform API, infer account access or execute store changes.
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