Slice · AI prompt
Multi-tenant SaaS control plane. Workspace lifecycle ops (list/delete/cascade), per-tenant tier presets (gates + quota), KPI dashboard grid. Consumer-domain bits injected via adapter props (tenantTablesAdapter / tierPresets / kpiSources). Contract-only scaffold; canonical implementation lands via /rr-send from superspace. See docs/contract-negotiations-2026-05-15.md §4.
# Install `platform-admin` — Platform Admin — Multi-Tenant Control Plane
> Multi-tenant SaaS control plane.
📚 Knowledge base : https://resource.rahmanef.com/llms.txt
📦 Slice detail : https://resource.rahmanef.com/slices/platform-admin
🧠 JSON catalog : https://resource.rahmanef.com/api/knowledge?slice=platform-admin
🔗 Source : https://github.com/rahmanef63/resource-site/tree/main/frontend/slices/platform-admin
## 1. Install
```bash
npx rahman-resources add platform-admin
# alias: npx rr add platform-admin
```
The CLI copies `frontend/slices/platform-admin/` into your project + augments `.env.example` + installs npm deps automatically. Run it from your project root.
## 2. What it ships
- peer slices (cascade install):
- `convex-auth` — Actor identity for audit + tier-set ops.
- `audit-log` — padmin_audit table feeds through audit-log TenantAdapter.
- `dashboard-shell` — Control-plane panels mount inside the dashboard-shell app chrome — no chrome of its own.
- env vars:
- `PLATFORM_ADMIN_EMAILS` (convex, required) — Comma-separated list of platform admin email addresses.
## 3. Wire it up
Run `npx rr add platform-admin`. Contract-only scaffold. Wait for superspace /rr-send platform-admin before adopting. Distinct from per-instance `admin` slug.
## Rules of engagement
- shadcn-only UI primitives. No raw `<button>` / `<dialog>` / native date or file inputs.
- 200-line hard cap per source file (extract neighbours when over).
- All Convex queries hit an index (`.withIndex(...)`); never bare `.collect()`.
- Public mutations/queries declare `args:` validators + authz.
- Full ruleset: https://resource.rahmanef.com/best-practice
The agent will fetch /llms.txt for the full ruleset and use /api/knowledge for the JSON catalog.