# FLUJO

> FLUJO — mario-andreschak-flujo. Use this tool when you need to automate complex workflows and improve agent performance through self-learning capabilities and graph-based workflows. FLUJO solves problems related to multi-agent coordination and task automation, providing a scalable and adaptable solution. It takes in workflow definitions and agent configurations as inputs and outputs optimized workflow executions, ideal for use cases involving dynamic task management and continuous improvement.

Canonical page: https://skillsregistry.net/skills/mario-andreschak-flujo  
JSON: https://api.skillsregistry.net/v1/skills/mario-andreschak-flujo

## Description

Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mario-andreschak/FLUJO)

## 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": "mario-andreschak-flujo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mario-andreschak-flujo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mario-andreschak-flujo/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