8 boosters for "tmux" — AI-graded, open source, ready to install
A Windsurf rules booster that enforces development standards for the libtmux Python project, including code style, testing practices, and documentation conventions using modern tools like uv, ruff, and pytest.
Heuristic scoring (no AI key configured).
Provides Copilot instructions for managing a personal Linux dotfiles repository using GNU Stow, with detailed guidance on package structure, installation workflows, and modular ZSH configuration. Useful for developers maintaining complex dotfiles across multiple tools (i3, tmux, zsh, polybar, etc.).
A collection of 48 specialized AI subagents for Claude Code that automate domain-specific development tasks like backend architecture, frontend development, and DevOps. Developers benefit from having expert agents pre-configured for different roles, reducing context-switching and improving productivity across the full software development lifecycle.
A voice-controlled multi-agent framework for spawning and orchestrating AI workers across machines via CLI, SDK, and Telegram. Useful for developers building complex distributed AI workflows.
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
A skill booster that enforces opinionated UI constraints and best practices for building accessible, performant interfaces with AI agents on Claude Code. Developers using terminal-based IDEs (Neovim, tmux) benefit from clear, enforceable standards for component selection, animation, and interaction patterns.
