# network-ai

> Use this tool when you need to manage complex workflows and orchestrate multiple agents to achieve a common goal. The network-ai tool solves problems of scalability, coordination, and efficiency in distributed systems, taking in workflow definitions and agent inputs to produce optimized workflow outputs. It is ideal for use cases involving decentralized decision-making, autonomous systems, and large-scale process automation.

Canonical page: https://skillsregistry.net/skills/jovansapfioneer-network-ai  
JSON: https://api.skillsregistry.net/v1/skills/jovansapfioneer-network-ai

## Description

Multi-agent swarm orchestration for complex workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jovansapfioneer-network-ai)

## 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": "jovansapfioneer-network-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jovansapfioneer-network-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jovansapfioneer-network-ai/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