# Omni-Resolve-Agentic

> Omni-Resolve-Agentic — q138ben-omni-resolve-agentic. Use this tool when you need to resolve complex issues in the telecommunications industry through a multi-agent AI system. Omni-Resolve-Agentic solves problems related to network optimization, customer service, and resource allocation by integrating with git for version control and collaboration. It takes in data on network performance and customer interactions, and outputs optimized solutions and recommendations for improvement.

Canonical page: https://skillsregistry.net/skills/q138ben-omni-resolve-agentic  
JSON: https://api.skillsregistry.net/v1/skills/q138ben-omni-resolve-agentic

## Description

A state-of-the-art, multi-agent AI system designed for the telecommunications industry.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/q138ben/Omni-Resolve-Agentic)

## 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": "q138ben-omni-resolve-agentic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/q138ben-omni-resolve-agentic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/q138ben-omni-resolve-agentic/pull`

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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