# agentloop

> Use this tool when you need to orchestrate complex AI workflows with multiple large language models (LLMs) and require a deterministic loop for task decomposition, subagent execution, and feedback review. Agentloop solves problems of scalability, reliability, and consistency in AI workflows by providing a unified interface for multiple LLM backends. It takes in task definitions and LLM outputs, and produces orchestrated results with feedback mechanisms.

Canonical page: https://skillsregistry.net/skills/luckeyfaraday-athena-loops  
JSON: https://api.skillsregistry.net/v1/skills/luckeyfaraday-athena-loops

## Description

MCP server that enables AI agents to run a deterministic orchestration loop with decomposition, subagent execution, and review feedback across multiple LLM backends.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zia8qgy48y)
- **Repository:** <https://github.com/luckeyfaraday/athena-loops>

## 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": "luckeyfaraday-athena-loops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luckeyfaraday-athena-loops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luckeyfaraday-athena-loops/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