> ## Documentation Index
> Fetch the complete documentation index at: https://docs.timberlogs.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Agent Integration

> Make your AI coding agent aware of Timberlogs with one command.

Timberlogs documentation is discoverable by 40+ AI coding agents via [skills.sh](https://skills.sh). Once installed, your agent knows how to set up Timberlogs, send logs, query data, and use the CLI.

## Install the skill

Run this in your project directory:

```bash theme={null}
npx skills add https://docs.timberlogs.dev
```

The CLI auto-detects your installed agents and lets you choose which ones to configure.

## Supported agents

The Timberlogs skill works with any agent that supports the skills.sh standard, including:

* **Claude Code**
* **Cursor**
* **GitHub Copilot**
* **Windsurf**
* **Gemini CLI**
* **Codex**
* **OpenCode**
* **Amp**
* And 30+ more

## What the skill provides

Once installed, your AI agent can:

* Set up Timberlogs in your project with the correct SDK and configuration
* Send structured logs using the right API format
* Query and search logs via the REST API or CLI
* Track flows across multi-step operations
* Follow best practices like flushing before exit and storing API keys in environment variables

## Custom skill

The skill file is auto-generated from the documentation and updated on every deploy. You can view it directly at [docs.timberlogs.dev/skill.md](https://docs.timberlogs.dev/skill.md).