Run a store's day in one command.
Three team skills ship with the datavessel CLI. Your AI — Claude Code or ChatGPT — is the lead: it reads the live roster, picks the specialists that fit the goal, dispatches them, and hands you one report. Every write still waits for your sign-off.
Operator, Marketing, Builder.
Each is a one-command skill over the same workflow library the operations center runs — one client store at a time, ledger receipts included.
Ecommerce Operator Team
Runs a client's store day to day — orders moving, customers answered, revenue protected — and records what happened in the ledger.
- Platform operations— the Order Desk on Shopify, WooCommerce, or Shopware
- Support— ticket resolution & CSAT rescue
- Revenue protection— checkout recovery, dispute evidence
- Reporting— traffic health, revenue alerts, the client report
Ecommerce Marketing Team
Grows qualified demand for a client's store — organic, AI answers, content, paid hygiene, lifecycle — and compounds learning every cycle.
- SEO— growth autopilot, audits, execution
- AEO— AI-answer visibility monitoring & fix-it
- Content & lifecycle— product copy refresh, winback email
- Paid search— waste/winners hygiene; campaign creation ships nextadvisory
Store Expansion Builder
Builds new surface for a client store that already trades: landing pages, campaign pages, deeper catalogue — grounded in demand data.
- Page building— SEO landing & CMS pages on Shopware, draft-by-default
- Catalogue depth— product content refresh on your platform
- SEO plumbing— clean URLs, meta, internal links
- Shopify / Woo expansion— copy-ready build plans while their page tools landadvisory
Your AI leads. Specialists execute. You sign off.
Each team is your model leading specialists from the workflow library — over the same 200+ typed tools the operations center, MCP and the CLI use.
Recall
Your AI lead reads that store's memory first: prior cycles, outcomes, and the standing rules you've set for this client.
Plan
It turns your goal — or picks the highest-leverage one itself — into a few scoped assignments.
Dispatch
Specialist agents run in parallel, each on its own lane, each with only the tools its job needs.
Approve
Any write that needs sign-off pauses that specialist and puts the item in your inbox — web or mobile. The rest keep working.
Report
Every action lands in the client's ledger with who approved it; one synthesized summary — done, pending, recommended — sits on top.
Reads run free. Writes ask first — every specialist carries the same approval gate, and your AI lead can surface an approval but never grant one. Nothing touches a client's store without a row in the ledger and, unless you've allowed autopilot for that step, your sign-off.
The teams remember your stores.
One interview saves a setup profile — stores, properties, brand voice — to per-store memory. Every team lead recalls it before it plans, so you never re-explain your client.
$ npm i -g datavessel-cli
$ datavessel setup
✔ Signed in as ops@agency.example
✔ Catalog synced: 213 tools
Not connected yet: google_analytics, shopify
Connect them here: app.datavessel.io/settings
✔ Connected: google_analytics, shopify, slack
✔ GA4 property: Web — Northwind (348211906)
✔ Saved your setup profile to team memory.
Setup complete. Your teams will recall this automatically.
One command from here.
Install the CLI plugin, run setup once, then ask for the operator, marketing, or builder team by name.