Agentic Tool Optimization (ATO) is a multi-LLM control panel that centralizes AI coding tools like Claude Code, Codex, OpenClaw, and Hermes into a single dashboard. The MIT-licensed desktop application supports macOS, Windows, and Linux, offering skills management, subagent creation, automation workflows, and cron scheduling across all runtimes.

Built with Tauri and React, ATO provides two-way communication with each runtime, auto-detecting installed CLIs and verifying their health status. The platform includes a Skills Manager that reads real files from each runtime's skill directories, supports drag-and-drop priority ordering, and features AI-powered skill creation that generates SKILL.md files from plain text descriptions.

The application offers a comprehensive MCP server with eight tools for context usage monitoring, skill management, and runtime analytics. ATO distinguishes between open-source and Pro versions, with the latter adding real-time monitoring, cloud sync, team workspaces, and advanced automation features. The project follows a clear roadmap targeting production readiness by version 1.0, with current development focused on marketplace integration and deeper runtime connections.