# AI Agents

The Lightning Rod SDK ships with a Claude Code plugin that teaches AI agents how to build forecasting datasets and fine-tune models using proven patterns.

### Claude Code

The easiest way to use Lightning Rod skills in a separate project is via the Claude Code plugin system:

```
/plugin marketplace add lightning-rod-labs/lightningrod-python-sdk
/plugin install lightningrod-python-sdk
```

This installs all skills and the `lightningrod-assistant` agent into your project. Skills are namespaced under the `lightningrod-python-sdk` plugin.

Try it with a fine-tuning prompt:

```bash
claude "Build a forecasting model to predict PGA Tour players will finish in the top 20"
```

### Other agents

Any MCP-compatible client (Hermes, OpenClaw, Codex, etc.) can connect by adding the streamable HTTP endpoint above as an MCP server in its configuration. The server exposes a `search-docs` tool that agents use to look up SDK concepts, parameters, and usage patterns.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.lightningrod.ai/python-sdk/getting-started/agents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.