# agent-lightning

> agent-lightning — olmmlo-cmd-agent-lightning. Use this tool when you need to train and develop AI agents that can learn from environments and make decisions. Agent-lightning solves problems in reinforcement learning, such as training agents to perform complex tasks and adapt to new situations. It takes in environment specifications and outputs trained agent models, ideal for use in robotics, game playing, and other dynamic control tasks.

Canonical page: https://skillsregistry.net/skills/olmmlo-cmd-agent-lightning  
JSON: https://api.skillsregistry.net/v1/skills/olmmlo-cmd-agent-lightning

## Description

Microsoft Research's agent training framework.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/olmmlo-cmd-agent-lightning)

## 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": "olmmlo-cmd-agent-lightning"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olmmlo-cmd-agent-lightning` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olmmlo-cmd-agent-lightning/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