burkeholland

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"

ishad0w

deb http://archive.ubuntu.com/ubuntu/ focal main restricted universe multiverse
deb-src http://archive.ubuntu.com/ubuntu/ focal main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse
deb-src http://archive.ubuntu.com/ubuntu/ focal-updates main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse
deb-src http://archive.ubuntu.com/ubuntu/ focal-security main restricted universe multiverse

deb http://archive.ubuntu.com/ubuntu/ focal-backports main restricted universe multiverse

wshayes

# From @euri10 -- https://gitter.im/tiangolo/fastapi?at=5cd915ed56271260f95275ac

import asyncio

import pytest
from sqlalchemy import create_engine
from sqlalchemy_utils import create_database, database_exists, drop_database
from starlette.config import environ
from starlette.testclient import TestClient

mihow

# The initial version
if [ ! -f .env ]
then
  export $(cat .env | xargs)
fi

# My favorite from the comments. Thanks @richarddewit & others!
set -a && source .env && set +a

Jaza

*

twolfson

alembic is great but lacks an out of the box way to set up running migrations against a specific database (e.g. development, test, production). The following adjustments to its env.py and alembic.ini allow us to target a specific database:

Example:

alembic -x db=development upgrade head

env.py:

fperez

sevennineteen

{ "path": "/content/geometrixx/my-first-jinja-page",
  "properties": [
    { "name": "jcr:primaryType",
      "value": "cq:Page" }],
    
  "nodes": [
    { "path": "jcr:content",
      "properties": [
        { "name": "jcr:primaryType",
          "value": "cq:PageContent"},

jacobian

def elem2dict(node):
    """
    Convert an lxml.etree node tree into a dict.
    """
    d = {}
    for e in node.iterchildren():
        key = e.tag.split('}')[1] if '}' in e.tag else e.tag
        value = e.text if e.text else elem2dict(e)
        d[key] = value
    return d