Works with the AI tools you already use
Nex Sector Tenant Pattern
by Nex AI
Standardized playbook for onboarding sector-specific tenants into the Nex Prospect SaaS platform.
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See it in action
You say
Setup a new tenant for an HVAC company in Hasselt. They want to target the horeca sector for heat pump upgrades and real estate firms for renovation installs.
Your agent does
I have initialized the 'hvac-hasselt' tenant.
- PostgreSQL: Record created.
- sectors_json: NACE codes for Horeca and Real Estate mapped with regional focus on Hasselt/Genk.
- Scoring: online_gap weight boosted to 1.3.
- Assets: CSS tokens and logo placeholders ready in MinIO.
What you get
About this skill
The problem
Manually onboarding new clients into a multi-tenant SaaS involves fragmented tasks across database configuration, asset storage, and campaign setup. Developers often waste days repeating boilerplate work to provision tenant records, scoring logic, and mail templates.
What it does
- Generates SQL tenant records and sectors_json configurations including NACE codes and regional filters.
- Automates branding asset deployment to MinIO storage for tenant-specific UI rendering.
- Produces sector-specific cold-mail sequences and customized AI-scoring prompts based on client USPs.
- Configures DNS and email delivery settings via Resend for tenant-owned domains.
- Provides a validated onboarding checklist and smoke test protocol to move from setup to live in 90 minutes.
Frameworks & tools
Built for stacks using FastAPI, PostgreSQL, MinIO, and Resend. Integrates with KBO data pipelines and lead-scoring rubrics.
Why this beats prompting it yourself
This tool enforces the strict architectural boundaries of the Nex Prospect model, ensuring configuration data stays in the DB and assets stay in storage. It prevents manual errors in NACE code mapping and scoring weight calibration that lead to poor lead quality.
Use cases
- Onboarding a new furniture retail client requiring horeca lead generation.
- Setting up a specialized HVAC tenant with distinct scoring weights for renovation projects.
- Pivoting an existing tenant from one sector focus to another without breaking the pipeline.
- Provisioning the Nth tenant using a standardized, production-tested playbook.
Known limitations
Assumes an existing deployment of nex-prospect-blueprint. Does not support enterprise-level custom feature development outside the standard outreach flow.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
300 skills on Agensi
Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.
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