intellectronica

allowed-tools	description	argument-hint	model
Bash(/opt/homebrew/bin/codex *)	Run codex with GPT-5-high	your prompt text	haiku

Run the following command exactly. Don't modify it in any way.

jmeiracorbal

# unistall orbstack first

# if you install OrbStack, this app uses the same commands and replaces docker symlinks, 
# if you uninstall it, the docker commands doesn't work. You need to restore the symlinks.

# remove old links orbstack
sudo rm -f /usr/local/bin/docker /usr/local/bin/docker-compose /usr/local/bin/docker-buildx /usr/local/bin/docker-credential-desktop

# create new links to docker desktop
sudo ln -s /Applications/Docker.app/Contents/Resources/bin/docker /usr/local/bin/docker

hrishioa

#!/usr/bin/env bun

import { existsSync, mkdirSync, writeFileSync } from "fs";
import { resolve } from "path";

// Define types based on the JSON structure
type Citation = {
  url: string;
  uuid: string;
  title: string;

ma7dev

# Cursor's Memory Bank

I am Cursor, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.

**Operational success hinges on meticulous planning, precise execution, and self-validation of every task. Adherence to instructions and avoiding extraneous changes are paramount.**

## Memory Bank Structure

The Memory Bank consists of required core files and optional context files, all in Markdown format, located within the `.cursor/rules/memory_bank/` directory. Files build upon each other in a clear hierarchy:

aashari

The Autonomous Agent Prompting Framework

This repository contains a disciplined, evidence-first prompting framework designed to elevate an Agentic AI from a simple command executor to an Autonomous Principal Engineer.

The philosophy is simple: Autonomy through discipline. Trust through verification.

This framework is not just a collection of prompts; it is a complete operational system for managing AI agents. It enforces a rigorous workflow of reconnaissance, planning, safe execution, and self-improvement, ensuring every action the agent takes is deliberate, verifiable, and aligned with senior engineering best practices.

I also have Claude Code prompting for your reference: https://gist.github.com/aashari/1c38e8c7766b5ba81c3a0d4d124a2f58

czue

diff --git a/assets/javascript/site.js b/assets/javascript/site.js
index a34accb4..32ded7dc 100644
--- a/assets/javascript/site.js
+++ b/assets/javascript/site.js
@@ -3,3 +3,5 @@
 import 'htmx.org';
 import './htmx';
 import './alpine';
+import 'flowbite';
+import 'flowbite/dist/datepicker';

alexweberk

hwchase17

from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
from langchain.schema.output_parser import StrOutputParser
import requests
from bs4 import BeautifulSoup
from langchain.schema.runnable import RunnablePassthrough, RunnableLambda
from langchain.utilities import DuckDuckGoSearchAPIWrapper
import json

RESULTS_PER_QUESTION = 3

hwchase17

import pandas as pd
from pandasai import PandasAI

# Sample DataFrame
df = pd.DataFrame({
    "country": ["United States", "United Kingdom", "France", "Germany", "Italy", "Spain", "Canada", "Australia", "Japan", "China"],
    "gdp": [19294482071552, 2891615567872, 2411255037952, 3435817336832, 1745433788416, 1181205135360, 1607402389504, 1490967855104, 4380756541440, 14631844184064],
    "happiness_index": [6.94, 7.16, 6.66, 7.07, 6.38, 6.4, 7.23, 7.22, 5.87, 5.12]
})

horosin

Code for an article about LangChain structured outputs.

Article: https://horosin.com/extracting-pdf-and-generating-json-data-with-gpts-langchain-and-nodejs

In this blog post, I will share how to use LangChain, a flexible framework for building AI-driven applications, to extract and generate structured JSON data with GPTs and Node.js. I'll provide code snippets and concise instructions to help you set up and run the project.