Add Zeioth/makeit.nvim (#1103)

Co-authored-by: Thomas Versteeg <t@versteeg.email>
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Zeioth 2024-03-15 19:36:13 +01:00 committed by GitHub
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@ -830,6 +830,7 @@ These colorschemes may not specialize in Tree-sitter directly but are written in
- [MarcHamamji/runner.nvim](https://github.com/MarcHamamji/runner.nvim) - A customizable Lua code runner. - [MarcHamamji/runner.nvim](https://github.com/MarcHamamji/runner.nvim) - A customizable Lua code runner.
- [google/executor.nvim](https://github.com/google/executor.nvim) - Allows you to run command line tasks in the background and be notified of results. - [google/executor.nvim](https://github.com/google/executor.nvim) - Allows you to run command line tasks in the background and be notified of results.
- [Zeioth/compiler.nvim](https://github.com/Zeioth/compiler.nvim) - Compiler for building and running your code without having to configure anything. - [Zeioth/compiler.nvim](https://github.com/Zeioth/compiler.nvim) - Compiler for building and running your code without having to configure anything.
- [Zeioth/makeit.nvim](https://github.com/Zeioth/makeit.nvim) - Makefile runner based on overseer.
- [jaytyrrell13/static.nvim](https://github.com/jaytyrrell13/static.nvim) - Run static site generator commands. - [jaytyrrell13/static.nvim](https://github.com/jaytyrrell13/static.nvim) - Run static site generator commands.
- [dasupradyumna/launch.nvim](https://github.com/dasupradyumna/launch.nvim) - A simple and quick task launcher which allows dynamically configuring tasks on the fly, with optional support for debugging. - [dasupradyumna/launch.nvim](https://github.com/dasupradyumna/launch.nvim) - A simple and quick task launcher which allows dynamically configuring tasks on the fly, with optional support for debugging.
- [benlubas/molten-nvim](https://github.com/benlubas/molten-nvim) - Enables running code chunks via the jupyter kernel. Output (including image output) is rendered in a floating window below the code. - [benlubas/molten-nvim](https://github.com/benlubas/molten-nvim) - Enables running code chunks via the jupyter kernel. Output (including image output) is rendered in a floating window below the code.