Andrew Nosenko noseratio

## beastmode-install.md

      
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                burkeholland
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                Beast Mode
              
          
    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"


## Agent.py
from google.adk.agents import Agent
from google.adk.events import Event
from google.adk.agents.invocation_context import InvocationContext
from google.genai.types import Content, Part
from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset
from google.adk.tools.mcp_tool import StdioConnectionParams, StreamableHTTPConnectionParams, SseConnectionParams
from google.adk.tools.agent_tool import AgentTool
from pydantic import BaseModel, Field

from mcp import StdioServerParameters

## llm-chat-demo.csx
#r "nuget: OpenAI, 1.11.0"
#r "nuget: fsEnsemble, 0.1.5"

using System;
using System.Text;
using System.Threading.Channels;
using System.Threading.Tasks;
using OpenAI_API;
using OpenAI_API.Chat;
using OpenAI_API.Models;

## bind-plugin.ts
import { options } from "preact";
import { Signal } from "@preact/signals";

// Add `bind:value` to JSX types
declare global {
  namespace preact.createElement.JSX {
    interface HTMLAttributes {
      "bind:value"?: Signal<string | string[] | number | undefined>;
    }
  }

## Container.test.ts
import { Container, Inject } from "./Container";

describe("Container", () => {

    it("should be able to get a class", () => {
        const container = new Container();
        container.register(TestClass);

        const result = container.get<TestClass>(TestClass);


## remove-unwanted-windows11-apps.ps1
# Teams 2.0 (no work account support yet)
winget uninstall MicrosoftTeams_8wekyb3d8bbwe

# Your Phone
winget uninstall Microsoft.YourPhone_8wekyb3d8bbwe

# Widgets (Web Experience Pack)
winget uninstall MicrosoftWindows.Client.WebExperience_cw5n1h2txyewy

# Cortana

## single-file-web-component.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <title>Single File Web Component</title>
    <style>
      body {
        background-color: #eee;
        font-family: Helvetica, sans-serif;
      }

## InterpolatedParsing.cs
using System.Runtime.CompilerServices;
using static ParsingExtensions;

string input = "Name: Andrew; Age: 31";

string? name = null;
int age = 0;

if (input.TryParse($"Name: {Placeholder(ref name)}; Age: {Placeholder(ref age)}"))
{

## ReplayLimitedSubscriptionsSubject.cs
using System;
using System.Reactive.Linq;
using System.Reactive.Subjects;

public class ReplayLimitedSubscriptionsSubject<T> : ISubject<T>
{
    private readonly ISubject<T> _subject = new Subject<T>();
    private readonly int _replayMaxSubscriptions;
    private ReplaySubject<T> _replaySubject;
    private int _subscriptionsCount = 0;

## JsonValue.cs
using System.Collections.Immutable;

namespace JsonDataStructure
{

    public record JsonValue
    {
        public ValueType ValueType { get; }
        public string? StringValue { get; init; }
        public bool? BooleanValue { get; init; }
	from google.adk.agents import Agent
	from google.adk.events import Event
	from google.adk.agents.invocation_context import InvocationContext
	from google.genai.types import Content, Part
	from google.adk.tools.mcp_tool.mcp_toolset import MCPToolset
	from google.adk.tools.mcp_tool import StdioConnectionParams, StreamableHTTPConnectionParams, SseConnectionParams
	from google.adk.tools.agent_tool import AgentTool
	from pydantic import BaseModel, Field

	from mcp import StdioServerParameters
	#r "nuget: OpenAI, 1.11.0"
	#r "nuget: fsEnsemble, 0.1.5"

	using System;
	using System.Text;
	using System.Threading.Channels;
	using System.Threading.Tasks;
	using OpenAI_API;
	using OpenAI_API.Chat;
	using OpenAI_API.Models;
	import { options } from "preact";
	import { Signal } from "@preact/signals";

	// Add `bind:value` to JSX types
	declare global {
	namespace preact.createElement.JSX {
	interface HTMLAttributes {
	"bind:value"?: Signal<string \| string[] \| number \| undefined>;
	}
	}
	import { Container, Inject } from "./Container";

	describe("Container", () => {

	it("should be able to get a class", () => {
	const container = new Container();
	container.register(TestClass);

	const result = container.get<TestClass>(TestClass);
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8" />
	<title>Single File Web Component</title>
	<style>
	body {
	background-color: #eee;
	font-family: Helvetica, sans-serif;
	}
	using System.Runtime.CompilerServices;
	using static ParsingExtensions;

	string input = "Name: Andrew; Age: 31";

	string? name = null;
	int age = 0;

	if (input.TryParse($"Name: {Placeholder(ref name)}; Age: {Placeholder(ref age)}"))
	{
	using System;
	using System.Reactive.Linq;
	using System.Reactive.Subjects;

	public class ReplayLimitedSubscriptionsSubject<T> : ISubject<T>
	{
	private readonly ISubject<T> _subject = new Subject<T>();
	private readonly int _replayMaxSubscriptions;
	private ReplaySubject<T> _replaySubject;
	private int _subscriptionsCount = 0;
	using System.Collections.Immutable;

	namespace JsonDataStructure
	{

	public record JsonValue
	{
	public ValueType ValueType { get; }
	public string? StringValue { get; init; }
	public bool? BooleanValue { get; init; }