Run the following commands
mkdir ~/tmp
git # installs git via xcode
git config --global github.user "github username"
# install Brew
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
python3 -m pip install pdfannots # Install pdfannots
# brew install coreutils skhd yabai kitty
# brew install llm # Install llm https://github.com/simonw/llm/
brew install yt-dlp
brew install ffmpeg
brew install whisper-cpp
brew install tmux
git clone https://github.com/zrlram/configs.git .dotfiles/
ln -s ~/.dotfiles/vim ~/.vim
ln -s ~/.dotfiles/vimrc ~/.vimrc
ln -s ~/.dotfiles/alias ~/.alias
ln -s ~/.dotfiles/inputrc ~/.inputrc
ln -s ~/.dotfiles/editrc ~/.editrc
ln -s ~/.dotfiles/bashrc ~/.bashrc
ln -s ~/.dotfiles/zshrc ~/.zshrc
ln -s ~/.dotfiles/zshenv ~/.zshenv
ln -s ~/.dotfiles/profile ~/.profile
ln -s ~/.dotfiles/profile ~/.zprofile
ln -s ~/.dotfiles/skhdrc ~/.skhdrc
ln -s ~/.dotfiles/yabairc ~/.yabairc
mkdir .ssh; chmod 700 ~/.ssh
ln -s ~/.dotfiles/ssh_config ~/.ssh/config
ln -s ~/.dotfiles/bin ~/bin
mkdir ~/.config
mkdir ~/.config/ghostty
ln -s ~/.dotfiles/ghostty ~/.config/ghostty/config
- Install fabric: curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-darwin-amd64 > fabric && chmod +x fabric && ./fabric --version fabric --setup
- Install PAI (run Codex, give it PAI URL and ask it to install)
- Install jsonpp: https://github.com/jmhodges/jsonpp/downloads
- Install glow: brew install glow
- Install ripgrep: brew install rga - https://github.com/phiresky/ripgrep-all
- Install superpowers (https://github.com/obra/superpowers/blob/main/README.md)
- Open vim and :PlugInstall
- find id_ files and add to .ssh directory
- llm keys set openai : sk-pnLxxxx
- vi ~/.env and add OPENAI_KEY
cp ~/Library/LaunchAgents/com.ram.obsidian_runninglog_daily_email.plist ~/Library/LaunchAgents/ launchctl load ~/Library/LaunchAgents/com.ram.obsidian_runninglog_daily_email.plist
- Glow to look at Markdown data
Mark entries with a URL in running log with #transcribe to have an hourly job transcribe the youtube vide automatically
Using following models in Ollama:
- ollama run hf.co/QuantFactory/Ministral-3b-Instruct-GGUF
- ollama run hf.co/bartowski/Ministral-8B-Instruct-2410-HF-GGUF-TEST:Q6_K
- Grandperspective
- MacVIM
- Raycast
- Install Granola extension (allows for transcript export too)
- XMind
- Superwhisper
- Granola
- Notion
- Obsidian
- Bitwarden
- Ghostty
- Visual Studio Code
- Codex
- Atlas (OpenAI)
- Docker Desktop
- OBS
- NetSpot
- Tunnelblick
- Msty
- Podcast download from jcran: https://gist.github.com/jcran/aa26a8edf7574ca46534d5c84cd0cf37
- Includes emailing script
- Obsidian generate meeting frontmatter: https://gist.github.com/jcran/9c6fb85b0b6a4df41e7fb64273fd501f
- Using fabric: fabric -y "" --stream --pattern extract_wisdom
- Using fabric with o3-mini: fabric -rp pattern_name -m o3-mini
- Using uv: #!/usr/bin/env -S uv run --script
- Using whisper for translating videos and audio to txt
conda init -n my_project conda activate my_project conda install pip pip install ...
- Never install into the base! Especially not pip.
- My envrionments ai - for whisper (see command) audio -- for binaural, for example
pip install data_formulator # https://github.com/microsoft/data-formulator?tab=readme-ov-file python -m data_formulator --port 8080