# copilot-jev

> copilot-jev — devnolife-copilot-jev. Use this tool when you need to integrate AI agents with a TypeSafe System One partner for decision-making across multiple SDKs and MCP servers. It solves problems related to implementing measurable and scalable AI solutions, providing a git-based interface for seamless integration. Ideal for use cases requiring collaborative decision-making and version control in AI development projects.

Canonical page: https://skillsregistry.net/skills/devnolife-copilot-jev  
JSON: https://api.skillsregistry.net/v1/skills/devnolife-copilot-jev

## Description

Jev (TypeSafe System One) sebagai partner keputusan untuk AI agent - agent skill lintas SDK + MCP server + implementasi terukur. Dokumentasi Bahasa Indonesia.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **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/devnolife/copilot-jev)

## 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": "devnolife-copilot-jev"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devnolife-copilot-jev` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devnolife-copilot-jev/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