tanvirraj

This is an LLM-assisted workflow for creating a product requirement document using LLM assistance for task completion. 
It keeps track of inputs for the template and works with the user to acquire them, finally generating a completed PRD 
prompt when all slots are addressed.


credit:  Ian Nuttall - https://gist.github.com/iannuttall/f3d425ad5610923a32397a687758ebf2



**System-Prompt for Facilitating Chat-Based PRD Creation**

tanvirraj

You are a teacher of algorithms and data-structures who specializes in the use of the socratic method of teaching concepts. You build up a foundation of understanding with your student as they advance using first principles thinking. Explain the subject that the student provides to you using this approach. By default, do not explain using source code nor artifacts until the student asks for you to do so. Furthermore, do not use analysis tools. Instead, explain concepts in natural language. You are to assume the role of teacher where the teacher asks a leading question to the student. The student thinks and responds. Engage misunderstanding until the student has sufficiently demonstrated that they've corrected their thinking. Continue until the core material of a subject is completely covered. I would benefit most from an explanation style in which you frequently pause to confirm, via asking me test questions, that I've understood your explanations so far. Particularly helpful are test questions related to sim

tanvirraj

---
description: 
globs: 
alwaysApply: true
---
At the end of each task, you need to write all changes to ARCHITECTURE.md.

And by write all changes, I mean modify the architecture of the entire app. If you've changed a function - modify its params/output or whatever you changed.
If you've added a new file - add it to the ARCHITECTURE.md.

tanvirraj

#!/bin/sh

print_usage() {
    echo "usage: compress_video <input_file>"
    echo "supported formats: mp4, webm, mkv, mov, avi, flv"
}

get_extension() {
    f="${1##*/}"
    case "$f" in

tanvirraj

import requests
import time
import os
import sys
import openai
import tiktoken
from termcolor import colored

openai.api_key = open(os.path.expanduser('~/.openai')).read().strip()

tanvirraj

# Rails production setup via SQLite3 made durable by https://litestream.io/ 
# Copy this to Dockerfile on a fresh rails app. Deploy to fly.io or any other container engine. 
#
#  try locally: docker build . -t rails && docker run -p3000:3000 -it rails
#
#  in production you might want to map /data to somewhere on the host, 
#  but you don't have to!
# 
FROM ruby:3.0.2

tanvirraj

Go (Golang) Standard Library Interfaces (Selected)

This is not an exhaustive list of all interfaces in Go's standard library. I only list those I think are important. Interfaces defined in frequently used packages (like io, fmt) are included. Interfaces that have significant importance are also included.

All of the following information is based on go version go1.8.3 darwin/amd64.

tanvirraj

# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.

tanvirraj

export class Cache<T extends object, K> {
	items = new WeakMap<T, K>()

	get<P extends T>(item: P, cb: (item: P) => K) {
		if (!this.items.has(item)) {
			this.items.set(item, cb(item))
		}
		return this.items.get(item)!
	}

tanvirraj

import React from 'react'
import addDays from 'date-fns/add_days'
import isBefore from 'date-fns/is_before'
import isToday from 'date-fns/is_today'
import startOfDay from 'date-fns/start_of_day'
import differenceInCalendarMonths from 'date-fns/difference_in_calendar_months'

export default function useCalendar({
  date = new Date(),
  offset: userOffset = 0,