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nexscope-ai/eCommerce-Skills

★ 986 · Python · MIT · updated Aug 2026

E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.

A library of 157 markdown 'skill' files that teach AI agents (Claude Code, Cursor, OpenClaw, etc.) e-commerce business frameworks — pricing, PPC, supply chain, SEO, brand protection — repeated per platform (Amazon, Shopify, Etsy, TikTok Shop, eBay, Walmart). It's for sellers who want their agent to reason like a growth consultant, not a tool for developers building anything.

The per-platform taxonomy is genuinely well organized — profit-margin-calculator and supply-chain-optimization each get a dedicated variant per marketplace instead of one generic skill that hand-waves the differences. A handful of skills (review-checker, profit-margin-calculator, supply-chain-optimization, product-differentiation) ship real Python (parser.py, analyzer.py, calculator.py) instead of being pure prompt text, so those specific ones have deterministic logic behind the LLM output. Zero setup: no API keys, no config, MIT licensed.

This is lead-gen content for Nexscope's paid data platform, not an independent tool — nearly every skill description links out with a `?co-from=github` tracking param, and the README's own numbers don't agree (157 in the title/badge, 142 in the quickstart install command), which suggests the copy isn't maintained carefully. Of the 157 'skills,' the large majority are just markdown frameworks and checklists with no code behind them at all — only a small subset actually execute anything. The scripts that do exist include things like brand-monitoring/scrapers.py scraping Reddit, Google News, YouTube and DuckDuckGo directly, which will break the moment any of those sites change markup, and there's no test suite or CI to catch it when it does. Roughly half the catalog is tagged 'Beta' with no definition of what that means or a changelog showing when something graduates.

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