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David Maxiviper117

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Beast Mode

Beast Mode is a custom chat mode for VS Code agent that adds an opinionated workflow to the agent, including use of a todo list, extensive internet research capabilities, planning, tool usage instructions and more. Designed to be used with 4.1, although it will work with any model.

Below you will find the Beast Mode prompt in various versions - starting with the most recent - 3.1

Installation Instructions

  • Go to the "agent" dropdown in VS Code chat sidebar and select "Configure Modes".
  • Select "Create new custom chat mode file"
@burkeholland
burkeholland / 4.1.chatmode.md
Last active August 13, 2025 11:46
4.1 Beast Mode v2
description tools
4.1 Beast Mode
changes
codebase
editFiles
extensions
fetch
findTestFiles
githubRepo
new
openSimpleBrowser
problems
readCellOutput
runCommands
runNotebooks
runTasks
runTests
search
searchResults
terminalLastCommand
terminalSelection
testFailure
updateUserPreferences
usages
vscodeAPI

You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.

@burkeholland
burkeholland / 4.1.chatmode.md
Last active August 13, 2025 04:54
4.1 Custom Mode - Reddit

EDIT - This prompt has been improved and moved to v2 - Beast Mode. Get it here.

SYSTEM PROMPT — GPT-4.1 Coding Agent (VS Code Tools Edition)

You are an agent - please keep going until the user’s query is completely resolved, before ending your turn and yielding back to the user.

Your goal is to complete the entire user request as quickly as possible. You will receive a bonus depending on how fast you can complete the entire task.

Follow these steps EXACTLY to complete the user's request:

# SETUP #
DOMAIN=example.com
PROJECT_REPO="[email protected]:example.com/app.git"
AMOUNT_KEEP_RELEASES=5
RELEASE_NAME=$(date +%s--%Y_%m_%d--%H_%M_%S)
RELEASES_DIRECTORY=~/$DOMAIN/releases
DEPLOYMENT_DIRECTORY=$RELEASES_DIRECTORY/$RELEASE_NAME
# stop script on error signal (-e) and undefined variables (-u)
@dhh
dhh / linux-setup.sh
Last active July 31, 2025 19:20
linux-setup.sh
# THIS LINUX SETUP SCRIPT HAS MORPHED INTO A WHOLE PROJECT: HTTPS://OMAKUB.ORG
# PLEASE CHECKOUT THAT PROJECT INSTEAD OF THIS OUTDATED SETUP SCRIPT.
#
#
# Libraries and infrastructure
sudo apt update -y
sudo apt install -y \
docker.io docker-buildx \
build-essential pkg-config autoconf bison rustc cargo clang \
@Maxiviper117
Maxiviper117 / color-shades-generator.scss
Last active August 1, 2025 11:57
SCSS Color Shades Generator: Dynamic CSS Variable Creation for Theming
// Import the Sass math module for division and other mathematical operations
@use "sass:math";
// Function to generate a series of color shades from a base color
@function generate-shades($base-color) {
// Initialize an empty map to store the shades
$shades: ();
// Define the scale for the shades
$scale: (50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 950);
@jo-chemla
jo-chemla / kapture-cropper.py
Last active March 5, 2025 18:28
Quick utility to crop a kapture images and adapt intrinsics
# py kapture-cropper.py -i dataset-kapture\ --border_px 0 --scale_factor 1 -v
import kapture
import kapture.io.csv as csv
from PIL import Image
from kapture.io.csv import kapture_to_dir
import os, logging, argparse
import kapture.utils.logging
logger = logging.getLogger("kapture-cropper")
from langchain.chat_models import ChatOpenAI
from pydantic import BaseModel, Field
from langchain.document_loaders import UnstructuredURLLoader
from langchain.chains.openai_functions import create_extraction_chain_pydantic
class LLMItem(BaseModel):
title: str = Field(description="The simple and concise title of the product")
description: str = Field(description="The description of the product")
def main():
@chunibyo-wly
chunibyo-wly / Meshroom2Colmap.py
Last active June 5, 2024 08:16
convert meshroom structure from motion results to colmap format
import json, os, shutil
from os.path import join, basename
from tqdm import tqdm
import numpy as np
MESHROOM = r"E:\workspace\dataset\01_DTU\cache\20\meshroom\MeshroomCache\ConvertSfMFormat\4b9ced4a64f3f996f7650f3d5ed9e27c4774a7c9\sfm.json"
COLMAP = r"E:\workspace\dataset\01_DTU\cache\20\colmap"
def make_dir(folder):
@aradalvand
aradalvand / DockerfileForSvelteKit.md
Last active July 10, 2025 14:09
Dockerfile and .dockerignore for SvelteKit:

*This Dockerfile is intended for SvelteKit applications that use adapter-node. So, the Dockerfile below assumes that you have already installed and configured the adapter.

Dockerfile:

FROM node:18-alpine AS builder
WORKDIR /app
COPY package*.json .
RUN npm ci
COPY . .
RUN npm run build