Ecommerce AI Skills
Cross-border e-commerce AI knowledge base, read by people and installed by agents: 69 trilingual guides, 878 prompts, a 100-entity / 322-constraint ontology, and 9 skills as a…
Install
/plugin marketplace add kangise/ecommerce-ai-skillsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Cross-Border E-Commerce AI Knowledge Base
Read it as a book. Install it as agent capability. Run it as operations.
Every figure sourced, dated or marked as an estimate · Every prompt ends with a self-check · Every guide states where it stops working — all checked in CI
🇺🇸 English · 🇨🇳 中文 · 🇯🇵 日本語 | 📖 Read Online | 📦 Install for Agent
Commerce Agent OS on a seeded demo tenant — verified evidence, pending human approvals, and the agents that produced them, on one screen.
In Claude Code — installs the 9 skills; only their names and descriptions load until one is used:
/plugin marketplace add kangise/ecommerce-ai-skills
/plugin install ecommerce-ai-skills@ecommerce-ai-skills
Run the operations UI locally:
pip install "ecommerce-ai-skills[mcp] @ git+https://github.com/kangise/ecommerce-ai-skills"
opc-ecommerce demo-seed --db ./demo.sqlite && opc-ecommerce demo --db ./demo.sqlite --port 8788
# then open http://127.0.0.1:8788/app
What This Is
An AI operations knowledge base for cross-border e-commerce. One source, three uses:
| Use | What it is | Entry |
|---|---|---|
| Read it | 69 chapters, sourcing to growth, complete in zh/en/ja | Online site |
| Install it for your agent | Knowledge + domain model + guarded capabilities: a Claude Code plugin, or one MCP config line for Claude Desktop / Cursor | dist/ |
| Run it | Commerce Agent OS — an operations runtime on real store data, with multi-agent review and human approval | opc-ecommerce demo |
All three are held to the same CI gates. Gates fail, nothing ships.
Run It — Commerce Agent OS
The first two uses hand knowledge to an AI. The third puts it to work — the same ontology and skills inside a runtime with approval, audit, and failure recovery.
pip install "ecommerce-ai-skills[mcp] @ git+https://github.com/kangise/ecommerce-ai-skills"
opc-ecommerce demo-seed --db ./demo.sqlite # isolated demo tenant
opc-ecommerce demo --db ./demo.sqlite --port 8788
# open http://127.0.0.1:8788/app
The demo tenant is marked DEMO DATA throughout and is physically isolated from real data.
What it does today
| Capability | Detail |
|---|---|
| Real data in | Amazon SP-API / Amazon Ads / Shopify connectors; Business Report, Ads, FBA, returns, and listing CSV/XLSX import once as durable Evidence |
| Multi-agent review | Weekly Ops Council: an evidence agent and one specialist per marketplace review in parallel, then a cross-platform controller and store manager set priorities |
| Human approval gate | Writes go through proposal → approval → execution; advertising actions carry an extra capability gate and are blocked without authorization |
| Durable execution | Four worker classes (job / schedule / report-sync / daily-ops) resume after interruption, with idempotency leases and recovery |
| Full audit trail | Every conclusion must cite its input source; tenant isolation, API key rotation, operation audit log |
| Operations UI | /app with seven views — briefing, agents, evidence, approvals, connections, automation, audit; persisted zh/en/ja preference, light and dark themes |
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