How do I install the Nexus Edge Deployer skill?

Run npx skillmds@latest add shuwanito/nexus-edge-deployer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Nexus Edge Deployer?

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Is Nexus Edge Deployer free to use?

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Who published Nexus Edge Deployer?

Shuwanito (@shuwanito) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Nexus Edge Deployer by shuwanito — Agent Skill

Name: Nexus Edge Deployer
Author: Shuwanito

Nexus Edge Deployer

Deploy 1-bit quantized AI models on cheap VPS for Agent-as-a-Service. Calculate unit economics, provision Hetzner servers, configure Ollama/llama.cpp inference, and manage multi-tenant agent fleets with 98% margins.

Shuwanito 41d0a60 2 files · 3.1 KB Updated Sep 17, 2026

File contents

Edge AI Deployer

Enterprise-grade edge deployment for 1-bit quantized models (PrismML Bonsai, Microsoft BitNet) on minimal infrastructure.

Capabilities

Deploy Bonsai 8B (1.15GB), 4B (0.57GB), and 1.7B (0.24GB) models on VPS
Calculate AaaS unit economics: cost per agent, margin per VPS, break-even analysis
Configure Ollama or llama.cpp for multi-tenant inference serving
Auto-provision Hetzner CX22 (EUR 3.79/mo) via Cloud API
Monitor fleet resource usage: RAM, CPU, tokens/sec per agent
GDPR/HIPAA compliance via local inference (no data leaves server)
Scale from 1 to 100+ agents across VPS fleet

Workflow

Assess client requirements: model quality, latency, privacy, platform
Select optimal model tier (8B for quality, 4B for balance, 1.7B for mobile)
Provision VPS via Hetzner API with cloud-init (Ollama + model pre-loaded)
Deploy agent with client-specific persona and capabilities
Benchmark inference quality against full-precision baseline
Configure monitoring, alerting, and auto-scaling rules
Generate unit economics report: revenue, cost, margin, projections

Guidelines

Always benchmark 1-bit model quality before deploying to production
Maximum 3 Bonsai 8B agents per 4GB VPS (reserve 0.5GB for OS)
Maintain cloud API fallback for quality-critical tasks
Report cost savings to finance department monthly
Authenticate all inference endpoints — never expose publicly
Use GGUF format for Ollama compatibility

Want this agent working for YOUR business?

We build custom AI agents tailored to your specific needs. This skill is just a preview of what's possible.

7-day free trial — no commitment, no credit card
From 50 EUR/month — cancel anytime
Your data stays yours — runs on your infrastructure

Get started: nexusaicorp@gmail.com | Calculate your ROI

Built by NEXUS AI Corp — 75 specialized AI agents, 23 departments, infinite possibilities.

---name: nexus-edge-deployerdescription: Deploy 1-bit quantized AI models on cheap VPS for Agent-as-a-Service. Calculate unit economics, provision Hetzner servers, configure Ollama/llama.cpp inference, and manage multi-tenant agent fleets with 98% margins.license: proprietary---# Edge AI DeployerEnterprise-grade edge deployment for 1-bit quantized models (PrismML Bonsai, Microsoft BitNet) on minimal infrastructure.## Capabilities- Deploy Bonsai 8B (1.15GB), 4B (0.57GB), and 1.7B (0.24GB) models on VPS- Calculate AaaS unit economics: cost per agent, margin per VPS, break-even analysis- Configure Ollama or llama.cpp for multi-tenant inference serving- Auto-provision Hetzner CX22 (EUR 3.79/mo) via Cloud API- Monitor fleet resource usage: RAM, CPU, tokens/sec per agent- GDPR/HIPAA compliance via local inference (no data leaves server)- Scale from 1 to 100+ agents across VPS fleet## Workflow1. Assess client requirements: model quality, latency, privacy, platform2. Select optimal model tier (8B for quality, 4B for balance, 1.7B for mobile)3. Provision VPS via Hetzner API with cloud-init (Ollama + model pre-loaded)4. Deploy agent with client-specific persona and capabilities5. Benchmark inference quality against full-precision baseline6. Configure monitoring, alerting, and auto-scaling rules7. Generate unit economics report: revenue, cost, margin, projections## Guidelines- Always benchmark 1-bit model quality before deploying to production- Maximum 3 Bonsai 8B agents per 4GB VPS (reserve 0.5GB for OS)- Maintain cloud API fallback for quality-critical tasks- Report cost savings to finance department monthly- Authenticate all inference endpoints — never expose publicly- Use GGUF format for Ollama compatibility---## Want this agent working for YOUR business?We build custom AI agents tailored to your specific needs. This skill is just a preview of what's possible.- **7-day free trial** — no commitment, no credit card- **From 50 EUR/month** — cancel anytime - **Your data stays yours** — runs on your infrastructure**Get started:** nexusaicorp@gmail.com | [Calculate your ROI](https://shuwanito.github.io/nexus-ai/)Built by [NEXUS AI Corp](https://github.com/Shuwanito) — 75 specialized AI agents, 23 departments, infinite possibilities.

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