The article outlines the features of a Slack automation CLI for AI agents, built with TypeScript and Bun. It emphasizes efficient output, using compact JSON that minimizes duplication and removes empty or null fields. The tool simplifies authentication, requiring no configuration if Slack Desktop is installed. Users can install it via a script or using npm, depending on their environment. Key functionalities include reading messages, browsing channel history, searching for messages and files, and managing threads. The CLI allows users to fetch, reply to, and react to messages. It also supports downloading files automatically, placing them in a designated local directory. Authentication on macOS happens seamlessly through local data from Slack Desktop, with fallback options for Chrome. Users can manually import tokens or set environment variables for authentication if needed. The CLI provides various commands for specific tasks. For example, `agent-slack message get` retrieves a single message, while `agent-slack message list` fetches an entire thread or recent messages from a channel. Users can also search across messages and files with specific filters. Each command outputs JSON, with attached files returning as local paths, making it easy to integrate into automated workflows. The article highlights the practical use of the tool for managing Slack interactions through AI agents.