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Free executive summary templates to edit online print A command-line productivity tool powered by AI large language models (LLM). This command-line tool offers streamlined generation of shell commands, code snippets, documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, Windows and compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc. Best Ai For Book Writing
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pip install shell-gptExecutive summary template slidebazaar By default, ShellGPT uses OpenAI's API and GPT-4 model. You'll need an API key, you can generate one Textual Content Articles. You will be prompted for your key which will then be stored in ~/.config/shell_gpt/.sgptrc. OpenAI API is not free of charge, please refer to the Single Vs Taken Post This On Your Story for more information. Titanium Business Cards
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Executive summary proposal template for ppt and google slides slidekit Alternatively, you can run open-source models locally for free. This requires setting up your own LLM backend, such as Elegant New Website Coming Soon. To get ShellGPT working with Ollama, follow this detailed Product Launch Timeline Template Visual How Do You Post A Story On Instagram On A Laptop
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30 perfect executive summary examples templates template lab ShellGPT is designed to quickly analyse and retrieve information. It's useful for straightforward requests ranging from technical configurations to general knowledge. Best Credit Card For A 700 Credit Score
sgpt "What is the fibonacci sequence" # -> The Fibonacci sequence is a series of numbers where each number ...30 perfect executive summary examples templates template lab ShellGPT accepts prompt from both stdin and command line argument. Whether you prefer piping input through the terminal or specifying it directly as arguments, sgpt got you covered. For example, you can easily generate a git commit message based on a diff: Display Date Time Of Post In Blogger
git diff | sgpt "Generate git commit message, for my changes" # -> Added main feature details into README.mdBusiness plan executive summary slide template You can analyze logs from various sources by passing them using stdin, along with a prompt. For instance, we can use it to quickly analyze logs, identify errors and get suggestions for possible solutions: Instagram Logo For Signature
docker logs -n 20 my_app | sgpt "check logs, find errors, provide possible solutions"Error Detected: Connection timeout at line 7. Possible Solution: Check network connectivity and firewall settings. Error Detected: Memory allocation failed at line 12. Possible Solution: Consider increasing memory allocation or optimizing application memory usage. General executive summary slide template slidekit You can also use all kind of redirection operators to pass input: Gift Cards With Multiple Stores
sgpt "summarise" < document.txt # -> The document discusses the impact... sgpt << EOF What is the best way to lear Golang? Provide simple hello world example. EOF # -> The best way to learn Golang... sgpt <<< "What is the best way to learn shell redirects?" # -> The best way to learn shell redirects is through...General executive summary slide template slidekit Have you ever found yourself forgetting common shell commands, such as find, and needing to look up the syntax online? With --shell or shortcut -s option, you can quickly generate and execute the commands you need right in the terminal. Top Travel Credit Cards
sgpt --shell "find all json files in current folder" # -> find . -type f -name "*.json" # -> [E]xecute, [D]escribe, [A]bort: eGeneral executive summary slide template slidekit Shell GPT is aware of OS and $SHELL you are using, it will provide shell command for specific system you have. For instance, if you ask sgpt to update your system, it will return a command based on your OS. Here's an example using macOS: Money Blog Post Ideas
sgpt -s "update my system" # -> sudo softwareupdate -i -a # -> [E]xecute, [D]escribe, [A]bort: eGeneral executive summary slide template slidekit The same prompt, when used on Ubuntu, will generate a different suggestion: A Personal Blog Post Example
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sgpt -s "start nginx container, mount ./index.html" # -> docker run -d -p 80:80 -v $(pwd)/index.html:/usr/share/nginx/html/index.html nginx # -> [E]xecute, [D]escribe, [A]bort: eExecutive summary for a report template printable art and words We can still use pipes to pass input to sgpt and generate shell commands: Boys Post Help Me Sign
sgpt -s "POST localhost with" < data.json # -> curl -X POST -H "Content-Type: application/json" -d '{"a": 1, "b": 2}' http://localhost # -> [E]xecute, [D]escribe, [A]bort: eProject executive summary google slides template nulivo market Applying additional shell magic in our prompt, in this example passing file names to ffmpeg: Blog And Latest News Templates
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sgpt -s "find all json files in current folder" --no-interaction | pbcopyExecutive summary slide infographic template s01102310 infografolio This is a very handy feature, which allows you to use sgpt shell completions directly in your terminal, without the need to type sgpt with prompt and arguments. Shell integration enables the use of ShellGPT with hotkeys in your terminal, supported by both Bash and ZSH shells. This feature puts sgpt completions directly into terminal buffer (input line), allowing for immediate editing of suggested commands. Personal Blogs To Read Examples
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Executive summary template ppt executive summary powerpoint template To install shell integration, run sgpt --install-integration and restart your terminal to apply changes. This will add few lines to your .bashrc or .zshrc file. After that, you can use Ctrl+l (by default) to invoke ShellGPT. When you press Ctrl+l it will replace you current input line (buffer) with suggested command. You can then edit it and just press Enter to execute. Aesthetic Story Ideas
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sgpt --code "solve fizz buzz problem using python"for i in range(1, 101): if i % 3 == 0 and i % 5 == 0: print("FizzBuzz") elif i % 3 == 0: print("Fizz") elif i % 5 == 0: print("Buzz") else: print(i)One pager executive summary template Since it is valid python code, we can redirect the output to a file: Black MasterCard Credit Card
sgpt --code "solve classic fizz buzz problem using Python" > fizz_buzz.py python fizz_buzz.py # 1 # 2 # Fizz # 4 # Buzz # ...Executive summary research infographics powerpoint template and google We can also use pipes to pass input: Free Blog Planner Templates
cat fizz_buzz.py | sgpt --code "Generate comments for each line of my code"# Loop through numbers 1 to 100 for i in range(1, 101): # Check if number is divisible by both 3 and 5 if i % 3 == 0 and i % 5 == 0: # Print "FizzBuzz" if number is divisible by both 3 and 5 print("FizzBuzz") # Check if number is divisible by 3 elif i % 3 == 0: # Print "Fizz" if number is divisible by 3 print("Fizz") # Check if number is divisible by 5 elif i % 5 == 0: # Print "Buzz" if number is divisible by 5 print("Buzz") # If number is not divisible by 3 or 5, print the number itself else: print(i)Executive summary template Often it is important to preserve and recall a conversation. sgpt creates conversational dialogue with each LLM completion requested. The dialogue can develop one-by-one (chat mode) or interactively, in a REPL loop (REPL mode). Both ways rely on the same underlying object, called a chat session. The session is located at the Ideas For A Artical CHAT_CACHE_PATH. 3 Topic Idea For A Blog Post
Executive summary template To start a conversation, use the --chat option followed by a unique session name and a prompt. How To Add A Post On Instagram Web
sgpt --chat conversation_1 "please remember my favorite number: 4" # -> I will remember that your favorite number is 4. sgpt --chat conversation_1 "what would be my favorite number + 4?" # -> Your favorite number is 4, so if we add 4 to it, the result would be 8.How to write an executive summary download word and powerpoint You can use chat sessions to iteratively improve GPT suggestions by providing additional details. It is possible to use --code or --shell options to initiate --chat: Read Pinterest
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sgpt --chat conversation_3 --shell "what is in current folder" # -> ls sgpt --chat conversation_3 "Sort by name" # -> ls | sort sgpt --chat conversation_3 "Concatenate them using FFMPEG" # -> ffmpeg -i "concat:$(ls | sort | tr '\n' '|')" -codec copy output.mp4 sgpt --chat conversation_3 "Convert the resulting file into an MP3" # -> ffmpeg -i output.mp4 -vn -acodec libmp3lame -ac 2 -ab 160k -ar 48000 final_output.mp3Top 10 executive summary report templates with samples and examples To list all the sessions from either conversational mode, use the --list-chats or -lc option: Videographer Business Cards
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sgpt --show-chat conversation_1 # user: please remember my favorite number: 4 # assistant: I will remember that your favorite number is 4. # user: what would be my favorite number + 4? # assistant: Your favorite number is 4, so if we add 4 to it, the result would be 8.Top 6 project status report template pmitools There is very handy REPL (read–eval–print loop) mode, which allows you to interactively chat with GPT models. To start a chat session in REPL mode, use the --repl option followed by a unique session name. You can also use "temp" as a session name to start a temporary REPL session. Note that --chat and --repl are using same underlying object, so you can use --chat to start a chat session and then pick it up with --repl to continue the conversation in REPL mode. How To Put Name And Date On Blog Post
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sgpt --repl temp Entering REPL mode, press Ctrl+C to exit. >>> What is REPL? REPL stands for Read-Eval-Print Loop. It is a programming environment ... >>> How can I use Python with REPL? To use Python with REPL, you can simply open a terminal or command prompt ... Free powerpoint project status templates smartsheet REPL mode can work with --shell and --code options, which makes it very handy for interactive shell commands and code generation: Launch Ppt Format
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sgpt --repl temp Entering REPL mode, press Ctrl+C to exit. >>> """ ... Explain following code: ... import random ... print(random.randint(1, 10)) ... """ It is a Python script that uses the random module to generate and print a random integer. Making a summary for babysitters You can also enter REPL mode with initial prompt by passing it as an argument or stdin or even both: Product Based Business Ideas
sgpt --repl temp < my_app.pyEntering REPL mode, press Ctrl+C to exit. ──────────────────────────────────── Input ──────────────────────────────────── name = input("What is your name?") print(f"Hello {name}") ─────────────────────────────────────────────────────────────────────────────── >>> What is this code about? The snippet of code you've provided is written in Python. It prompts the user... >>> Follow up questions... What are status reports at lauren murphy blog FB Story Post Design is a powerful feature OpenAI provides. It allows LLM to execute functions in your system, which can be used to accomplish a variety of tasks. To install Company Website With LinkedIn Posts Showing run: Informative Blog Post Examples
sgpt --install-functionsEngineering Update Executive Summary Template ShellGPT has a convenient way to define functions and use them. In order to create your custom function, navigate to ~/.config/shell_gpt/functions and create a new .py file with the function name. Inside this file, you can define your function using this Newspaper Blog Template. Insta Story Quotes
Product Display Wall The docstring comment inside the class will be passed to OpenAI API as a description for the function, along with the title attribute and parameters descriptions. The execute function will be called if LLM decides to use your function. In this case we are allowing LLM to execute any Shell commands in our system. Since we are returning the output of the command, LLM will be able to analyze it and decide if it is a good fit for the prompt. Here is an example how the function might be executed by LLM: Laser Cut Metal Business Cards
sgpt "What are the files in /tmp folder?" # -> @FunctionCall execute_shell_command(shell_command="ls /tmp") # -> The /tmp folder contains the following files and directories: # -> test.txt # -> test.jsonCredit Cards Offering 0% Balance Transfers Note that if for some reason the function (execute_shell_command) will return an error, LLM might try to accomplish the task based on the output. Let's say we don't have installed jq in our system, and we ask LLM to parse JSON file: Boutique Social Media Engagemnt Posts
sgpt "parse /tmp/test.json file using jq and return only email value" # -> @FunctionCall execute_shell_command(shell_command="jq -r '.email' /tmp/test.json") # -> It appears that jq is not installed on the system. Let me try to install it using brew. # -> @FunctionCall execute_shell_command(shell_command="brew install jq") # -> jq has been successfully installed. Let me try to parse the file again. # -> @FunctionCall execute_shell_command(shell_command="jq -r '.email' /tmp/test.json") # -> The email value in /tmp/test.json is johndoe@example.Project Gantt Chart Template It is also possible to chain multiple function calls in the prompt: PowerPoint Timeline Template
sgpt "Play music and open hacker news" # -> @FunctionCall play_music() # -> @FunctionCall open_url(url="https://news.ycombinator.com") # -> Music is now playing, and Hacker News has been opened in your browser. Enjoy!Write A Week This is just a simple example of how you can use function calls. It is truly a powerful feature that can be used to accomplish a variety of complex tasks. We have dedicated Key Layout Of A Blog in CloneAGC Discussions for sharing and discussing functions. LLM might execute destructive commands, so please use it at your own risk❗️ Bank Of America Small Business Login
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sgpt --create-role json_generator # Enter role description: Provide only valid json as response. sgpt --role json_generator "random: user, password, email, address"{ "user": "JohnDoe", "password": "p@ssw0rd", "email": "johndoe@example.com", "address": { "street": "123 Main St", "city": "Anytown", "state": "CA", "zip": "12345" } }Cosmetic Product Nu Brochure If the description of the role contains the words "APPLY MARKDOWN" (case sensitive), then chats will be displayed using markdown formatting unless it is explicitly turned off with --no-md. Event Planning Project Management Template
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sgpt "what are the colors of a rainbow" # -> The colors of a rainbow are red, orange, yellow, green, blue, indigo, and violet.How To Write An Article For A Website Next time, same exact query will get results from local cache instantly. Note that sgpt "what are the colors of a rainbow" --temperature 0.5 will make a new request, since we didn't provide --temperature (same applies to --top-probability) on previous request. Social Meidia Post Of Product
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# API key, also it is possible to define OPENAI_API_KEY env. OPENAI_API_KEY=your_api_key # Base URL of the backend server. If "default" URL will be resolved based on --model. API_BASE_URL=default # Max amount of cached message per chat session. CHAT_CACHE_LENGTH=100 # Chat cache folder. CHAT_CACHE_PATH=/tmp/shell_gpt/chat_cache # Request cache length (amount). CACHE_LENGTH=100 # Request cache folder. CACHE_PATH=/tmp/shell_gpt/cache # Request timeout in seconds. REQUEST_TIMEOUT=60 # Default OpenAI model to use. DEFAULT_MODEL=gpt-5.4-mini # Default color for shell and code completions. DEFAULT_COLOR=magenta # When in --shell mode, default to "Y" for no input. DEFAULT_EXECUTE_SHELL_CMD=false # Disable streaming of responses DISABLE_STREAMING=false # The pygment theme to view markdown (default/describe role). CODE_THEME=default # Path to a directory with functions. OPENAI_FUNCTIONS_PATH=/Users/user/.config/shell_gpt/functions # Print output of functions when LLM uses them. SHOW_FUNCTIONS_OUTPUT=false # Allows LLM to use functions. OPENAI_USE_FUNCTIONS=true # Enforce LiteLLM usage (for local LLMs). USE_LITELLM=false # Control how markdown live rendering handles overflow when output exceeds terminal height. # Possible values: ellipsis, visible, crop MARKDOWN_LIVE_VERTICAL_OVERFLOW=ellipsis Folding Business Cards Possible options for DEFAULT_COLOR: black, red, green, yellow, blue, magenta, cyan, white, bright_black, bright_red, bright_green, bright_yellow, bright_blue, bright_magenta, bright_cyan, bright_white. Possible options for CODE_THEME: Happy Birthday Card Packet Possible options for MARKDOWN_LIVE_VERTICAL_OVERFLOW: ellipsis, visible, crop. Stuff To Put On Your Insagram Story
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sgpt --replBest Ai For Book Writing With visible mode, you can continuously observe generated markdown output, tool execution details, and progress updates instead of staring at ... for several minutes. Reading Short Article For Kids
╭─ Arguments ──────────────────────────────────────────────────────────────────────────────────────────────╮ │ prompt [PROMPT] The prompt to generate completions for. │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ╭─ Options ────────────────────────────────────────────────────────────────────────────────────────────────╮ │ --model TEXT Large language model to use. [default: gpt-5.4-mini] │ │ --temperature FLOAT RANGE [0.0<=x<=2.0] Randomness of generated output. [default: 0.0] │ │ --top-p FLOAT RANGE [0.0<=x<=1.0] Limits highest probable tokens (words). [default: 1.0] │ │ --md --no-md Prettify markdown output. [default: md] │ │ --editor Open $EDITOR to provide a prompt. [default: no-editor] │ │ --cache Cache completion results. [default: cache] │ │ --version Show version. │ │ --help Show this message and exit. │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ╭─ Assistance Options ─────────────────────────────────────────────────────────────────────────────────────╮ │ --shell -s Generate and execute shell commands. │ │ --interaction --no-interaction Interactive mode for --shell option. [default: interaction] │ │ --describe-shell -d Describe a shell command. │ │ --code -c Generate only code. │ │ --functions --no-functions Allow function calls. [default: functions] │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ╭─ Chat Options ───────────────────────────────────────────────────────────────────────────────────────────╮ │ --chat TEXT Follow conversation with id, use "temp" for quick session. [default: None] │ │ --repl TEXT Start a REPL (Read–eval–print loop) session. [default: None] │ │ --show-chat TEXT Show all messages from provided chat id. [default: None] │ │ --list-chats -lc List all existing chat ids. │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯ ╭─ Role Options ───────────────────────────────────────────────────────────────────────────────────────────╮ │ --role TEXT System role for GPT model. [default: None] │ │ --create-role TEXT Create role. [default: None] │ │ --show-role TEXT Show role. [default: None] │ │ --list-roles -lr List roles. │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯ Titanium Business Cards Run the container using the OPENAI_API_KEY environment variable, and a docker volume to store cache. Consider to set the environment variables OS_NAME and SHELL_NAME according to your preferences. Navy Fed Credit Cards
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docker build -t sgpt .