# CascadeGateway

> CascadeGateway — jadberro-cascadegateway. Use this tool when you need to efficiently route and manage large language model (LLM) workloads between local hardware and cloud services. The CascadeGateway solves problems of latency, reliability, and cost by providing sub-5ms intelligent routing, failover, and asymmetric verification. It offers a user-friendly interface with 1-click IDE configuration and supports git integration for seamless workflow management.

Canonical page: https://skillsregistry.net/skills/jadberro-cascadegateway  
JSON: https://api.skillsregistry.net/v1/skills/jadberro-cascadegateway

## Description

Hardware-adaptive local LLM & cloud cascading gateway. Sub-5ms intelligent routing, 3-token lookahead failover, asymmetric verification, 1-click IDE config, and MCP for $0 token cost.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jadberro/CascadeGateway)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jadberro-cascadegateway"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jadberro-cascadegateway` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jadberro-cascadegateway/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt