Milo is a self-hosted Discord bot designed for community operations, support, and lightweight moderation. It features a modular architecture using discord.py cogs to separate concerns like AI chat, economy, farming, games, moderation, and utility functions. The bot uses SQLite for persistent storage of per-guild data (economy balances, farming progress, reminders) and includes mechanisms to prevent race conditions in economy operations via per-guild locking. Configuration is managed through environment variables and a local config.json file, with support for guild-specific overrides for features like AI chat API keys. The bot includes AI-assisted chat with optional web search, a per-guild economy with jobs and gambling, a farming progression system, mini-games (Tic-Tac-Toe, guess the number), social interaction commands (hug, slap), media fetching (memes, cat/dog pictures), and moderation tools (warnings, automod for invites/links/bad words). Utility commands cover reminders (with recurring and snooze options), AFK status, server information, and more. Milo emphasizes privacy and control for community owners, with all data stored locally and no required external services beyond Discord for core functionality.
This is a Zsh plugin that reminds users to use defined aliases when they type a command that has an alias. It hooks into Zsh's preexec and precmd mechanisms to intercept commands, expand them, and compare against all defined normal, global, and git aliases. If a match is found and the user did not use the alias, it prints a configurable reminder message (before or after command execution). It also supports a 'hardcore' mode that prevents command execution if an alias exists, forcing the user to use it. The plugin is a single Zsh script sourced into the user's shell, with no external dependencies other than Zsh 5.1+ and optionally `tput` for colored output. It provides toggle functions (`disable_you_should_use`/`enable_you_should_use`) and a report function (`check_alias_usage`) to analyze history and show alias usage counts. The code is well-structured, includes a comprehensive test suite using zunit, and handles edge cases like sudo commands, alias chains with cycle detection, ignored aliases, and multiple display modes.