Ask HN: Can I see your cheatsheet?

• cheat

  32 11,940 5.4 Go

  cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.

  

Here is tool that I use very often: https://github.com/cheat/cheat

Super simple!

Here is example:

> cheat zip

# To create zip file:

zip archive.zip file1 directory/

# To create zip file from directory:

zip -r archive.zip directory/

# To create zip file with password:

zip -P password archive.zip file1

# To join a split zip file (.zip, .z01, .z02, etc):

zip -FF splitZipfile.zip --out joined.zip

# To list, test and extract zip archives, see unzip:

cheat unzip

• tldr

  262 48,296 10.0 Markdown

  📚 Collaborative cheatsheets for console commands

  

I used to keep a list of snippets, but I found a tool that did it better - `tldr` (https://tldr.sh). I can use this from the command line instead of going searching my notes for it.

• InfluxDB

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• cheatsheet

  4 205 5.6

  📜 A compendium of CLI commands I can't stop looking up (by fastily)

Almost everyone I know keeps a list of (easily forgettable) command line snippets somewhere. I can't imagine that HN folks would be any different :)

So that said, could I please see your cheatsheet?

I'll go first: https://github.com/fastily/cheatsheet

• cheat.sh

  140 37,443 0.0 Python

  the only cheat sheet you need

One of the most useful cheat sheet utilities I've come across is cheat.sh: https://github.com/chubin/cheat.sh

If you don't have it installed it can easily be queried with curl from the command line like: `curl cheat.sh/sed`. The payload is colorized and gives a lot of examples of usage of the command. You can also query "cht.sh" to use fewer characters.

• notes

  1 2 7.2

  Discontinued Notes, mostly for myself, but could be useful to others. (by valbaca)

less "cheatsheet" and more just general notes for languages and vim and such:

https://github.com/valbaca/notes

• dotfiles

  1 56 7.6 Shell

  My dotfiles. (by issmirnov)

• config-files

  5 196 6.5 HTML

  My collection of .dotfiles, settings and snippets.

• WorkOS

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• mcfly

  49 6,545 7.2 Rust

  Fly through your shell history. Great Scott!

I've been loving mcfly[0], a history search that can be bound to . It makes suggestions based on your current directory as well as your command history.

[0] https://github.com/cantino/mcfly

• fd

  172 31,495 8.8 Rust

  A simple, fast and user-friendly alternative to 'find'

I've been pretty happy with `fd`: https://github.com/sharkdp/fd

• learn_perl_oneliners

  2 97 4.3 Shell

  Example based guide for text processing with Perl from the command line

I use my ebooks for reference:

* GNU grep and ripgrep (https://learnbyexample.github.io/learn_gnugrep_ripgrep/)

* GNU sed (https://learnbyexample.github.io/learn_gnused/)

* GNU awk (https://learnbyexample.github.io/learn_gnuawk/)

* Ruby one-liners cookbook (https://learnbyexample.github.io/learn_ruby_oneliners/)

* Perl one-liners cookbook (https://learnbyexample.github.io/learn_perl_oneliners/)

* Command line text processing with GNU Coreutils (https://learnbyexample.github.io/cli_text_processing_coreuti...)

* Command line text processing with Rust tools (https://learnbyexample.github.io/cli_text_processing_rust/) — work-in-progress

* Computing from the Command Line (https://learnbyexample.github.io/cli-computing/) — work-in-progress

• learn_gnused

  10 175 3.8 Shell

  Example based guide to mastering GNU sed

I use my ebooks for reference:

* GNU grep and ripgrep (https://learnbyexample.github.io/learn_gnugrep_ripgrep/)

* GNU sed (https://learnbyexample.github.io/learn_gnused/)

* GNU awk (https://learnbyexample.github.io/learn_gnuawk/)

* Ruby one-liners cookbook (https://learnbyexample.github.io/learn_ruby_oneliners/)

* Perl one-liners cookbook (https://learnbyexample.github.io/learn_perl_oneliners/)

* Command line text processing with GNU Coreutils (https://learnbyexample.github.io/cli_text_processing_coreuti...)

* Command line text processing with Rust tools (https://learnbyexample.github.io/cli_text_processing_rust/) — work-in-progress

* Computing from the Command Line (https://learnbyexample.github.io/cli-computing/) — work-in-progress

• learn_gnugrep_ripgrep

  6 304 3.1 Shell

  Example based guide to mastering GNU grep and ripgrep

I use my ebooks for reference:

* GNU grep and ripgrep (https://learnbyexample.github.io/learn_gnugrep_ripgrep/)

* GNU sed (https://learnbyexample.github.io/learn_gnused/)

* GNU awk (https://learnbyexample.github.io/learn_gnuawk/)

* Ruby one-liners cookbook (https://learnbyexample.github.io/learn_ruby_oneliners/)

* Perl one-liners cookbook (https://learnbyexample.github.io/learn_perl_oneliners/)

* Command line text processing with GNU Coreutils (https://learnbyexample.github.io/cli_text_processing_coreuti...)

* Command line text processing with Rust tools (https://learnbyexample.github.io/cli_text_processing_rust/) — work-in-progress

* Computing from the Command Line (https://learnbyexample.github.io/cli-computing/) — work-in-progress

• learn_gnuawk

  8 1,052 2.3 Shell

  Example based guide to mastering GNU awk

I use my ebooks for reference:

* GNU grep and ripgrep (https://learnbyexample.github.io/learn_gnugrep_ripgrep/)

* GNU sed (https://learnbyexample.github.io/learn_gnused/)

* GNU awk (https://learnbyexample.github.io/learn_gnuawk/)

* Ruby one-liners cookbook (https://learnbyexample.github.io/learn_ruby_oneliners/)

* Perl one-liners cookbook (https://learnbyexample.github.io/learn_perl_oneliners/)

* Command line text processing with GNU Coreutils (https://learnbyexample.github.io/cli_text_processing_coreuti...)

* Command line text processing with Rust tools (https://learnbyexample.github.io/cli_text_processing_rust/) — work-in-progress

* Computing from the Command Line (https://learnbyexample.github.io/cli-computing/) — work-in-progress

• sh-param-expansion

  1 0 1.8

  POSIX sh parameter expansion cheat sheet

• dotfiles

  3 15 7.4 Shell

Set a huuuuuuuge shell history https://github.com/craigjperry2/dotfiles/blob/aa77ddcbde63bf... then fzf ctrl+r bindings mean you can recall anything right where you need it.

If you’re going to do this then have an escape hatch for commands you don’t want memorised https://github.com/craigjperry2/dotfiles/blob/aa77ddcbde63bf...

• quick-reference

  1 0 6.4

  A collection of cheatsheets

• zsh-histdb

  16 1,233 0.0 Shell

  A slightly better history for zsh

This the working directory of the command has been especially useful for me to get the context of what I did, not only the command itself.

[1] - https://github.com/larkery/zsh-histdb

• dotfiles

  1 5 8.9 Shell

  Managed using https://yadm.io/ (by Toreno96)

https://github.com/Toreno96/dotfiles/blob/master/commands.tx...

Beware: I started this long before I became a fan of markdown, so the syntax of the whole file could seem as pretty weird, but it works for me. I mainly do `rg ~/commands.txt` in shell or `/` in vim when I need to find something in there.

There are also definitely too much commands dumped into the `Etc` section. I should reorganize this some day.

• bitbar

  50 17,326 3.3 Go

  Put the output from any script or program into your macOS Menu Bar (the BitBar reboot)

For those with larger collections (I'm up to ~350 individual sheets), I'm interested to know you access (find/read/edit) the cheatsheets. My way:

(Mac Desktop): I use xbar [0] with a custom script to create a menubar nested dropdown of all of my cheatsheets. Selecting opens in typora [0] for reading/editing markdown.

(CLI): I use cheat [0] which consumes the same markdown cheatsheet content

    [0]: https://xbarapp.com

• cheatsheets

  38 13,504 7.4 SCSS

  Cheatsheets for web development - devhints.io

A friend of mine made this awesome collection: https://devhints.io/

• data-science-cheat-sheets

  1 7 1.8

  Collection of Data Science Cheat Sheets

  

Jupyter Notebook shortcuts https://github.com/mljar/data-science-cheat-sheets/tree/main...

• cheat

  1 6 10.0 Shell

  my cheat site- try visiting https://ch.ebfe.pw/ or curl https://ch.ebfe.pw/list.txt (by santrancisco)

As for me, I put together some spaghetti bash functions for taking note while using the terminal (eg run tnote function will let me select one of the last 10 commands, type a description of what it does and move on with my day...i can come back later and sort it out into my notes)...

I then write another small bash script that use consolemd and surge(probably will move to github page at some point) to generate a simple webpage with simple markdown JavaScript library to serve it up along with all the files generated by consolemd so i can use curl in terminal and have it colorfully displayed.

The cheatsheet site is here https://ch.ebfe.pw/.

And you can try it in terminal: curl https://ch.ebfe.pw/intel/splunk

And my code can be found here if you are interested:

https://github.com/santrancisco/cheat

• dotfiles

  1 23 8.0 Vim Script

  My configuration files (by charlax)

• duckduckgo-locales

  2,076 94 0.0 Perl

  Translation files for <a href="https://duckduckgo.com"> </a>

  

• navi

  52 14,311 8.3 Rust

  An interactive cheatsheet tool for the command-line

• Code-Cheatsheet

  1 12 0.0

  Markdown notes/code samples on many the CS Topics I've learned, because I keep forgetting/relooking up the same basics

• kb

  8 3,090 3.0 Python

  A minimalist command line knowledge base manager

My team has a shared knowledge base set up via kb: https://github.com/gnebbia/kb

It’s like a group-maintained collection of cheatsheets. The git sync is buggy but I’ve made it work.

• interactively

  3 64 3.6 Shell

I suggest:

C-x C-e in the CLI (not sure if it’s zsh only) will open your command line in your $EDITOR - useful to get code highlighting and write multi line commands if that’s the blocker. The problem is iterating.

OR

Pipe your awk input to a file and then use this thing I wrote to build up your awk program. I use it most often with `jq`.

https://github.com/bigH/interactively

• goexamples

  1 0 5.2

  Complete golang example; sample Go code

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