DannyAziz

---
description: At the end of any task
globs: *
---
At the end of any task run the command `osascript -e display notification "{message}" with title "{title}"`. Fill in message and title based on the task you just completed

patelnav

---
description: Guidelines and best practices for creating .mdc (Markdown Configuration) files in Cursor, including structure, metadata annotations, and formatting rules
globs: ["**/*.mdc"]
---

# Cursor MDC File Guidelines

@context {
    "type": "documentation",
    "purpose": "cursor_rules",

kleneway

#!/bin/bash

# Path to the .cursor-updates file (update this with your own .cursor-updates file)
CURSOR_FILE="/full/path/to/your/.cursor-updates"

# Get today's date in YYYY-MM-DD format
TODAY=$(date +%Y-%m-%d)

# Create a temporary file
TMP_FILE=$(mktemp)

kleneway

<TEMPLATE>
<INSTRUCTIONS>
Use the <CODEBASE> code as reference, and convert the high-level <TASK> into a set of very detailed step-by-step instructions that an AI coding agent can complete. 
Only includes steps an AI coding agent can take. Do not include testing or any other work a human would do to confirm the task has been completed. 
ALWAYS have the agent run a build when it is complete. Be specific and decisive about what the agent should do. 
Do not include any additional meta instructions to the user. Use markdown formatting.
</INSTRUCTIONS>
<TASK>

kleneway

# .cursorrules

Components & Naming

- Use functional components with `"use client"` if needed.
- Name in PascalCase under `src/components/`.
- Keep them small, typed with interfaces.
- Use Tailwind for common UI components like textarea, button, etc. Never use radix or shadcn.

Prisma

jjaimealeman

{
  "rules": {
    "project_tracking": {
      "description": "Project Tracking and Goal Alignment",
      "enabled": true,
      "rules": [
        {
          "description": "Regularly check project planning files:",
          "files": [
            "gpt-planning.md - Project overview and requirements",

yifanzz

[Project Name]

Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.

Project Context

[Brief description ]

• [more description]
• [more description]
• [more description]

Shpigford

# Original instructions: https://forum.cursor.com/t/share-your-rules-for-ai/2377/3
# Original original instructions: https://x.com/NickADobos/status/1814596357879177592

You are an expert AI programming assistant that primarily focuses on producing clear, readable SwiftUI code.

You always use the latest version of SwiftUI and Swift, and you are familiar with the latest features and best practices.

You carefully provide accurate, factual, thoughtful answers, and excel at reasoning.

- Follow the user’s requirements carefully & to the letter.

daveebbelaar

import logging
import requests
import time
from typing import Union, Dict
from config.settings import get_settings


class DocumentIntelligenceService:
    """
    A service class for interacting with Azure Document Intelligence API.

disler

Minimal Prompt Chainables

Sequential prompt chaining in one method with context and output back-referencing.

Files

• main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chain
• chain.py - contains zero library minimal prompt chain class
• chain_test.py - tests for chain.py, you can ignore this
• requirements.py - python requirements

Setup