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PRD.md - Product Requirements & Feature Inventory

Everything built on top of the base OpenClaw platform. Canonical reference for what exists, where it lives, and how it works. Operational use cases and workflow playbooks live in docs/USE-CASES-WORKFLOWS.md.

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Table of Contents

1. Operational Use Cases & Workflows

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How to Use Codex from Claude Code

Codex is an AI-powered CLI tool that can help with complex debugging, code analysis, and technical questions. When you encounter difficult problems that would benefit from a second perspective or deep analysis, use Codex.

When to Use Codex

• Debugging subtle bugs (e.g., bitstream alignment issues, off-by-one errors)
• Analyzing complex algorithms against specifications
• Getting a detailed code review with specific bug identification
• Understanding obscure file formats or protocols

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# Create a new worktree and branch from within current git directory.
ga() {
  if [[ -z "$1" ]]; then
    echo "Usage: ga [branch name]"
    exit 1
  fi

  local branch="$1"
  local base="$(basename "$PWD")"
  local path="../${base}--${branch}"

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╭─── Claude Code v2.1.12 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│                                                     │ Tips for getting started                                                                           │
│                 Welcome back Jonny!                 │ Run /init to create a CLAUDE.md file with instructions for Claude                                  │
│                                                     │                                                                                                    │
│                                                     │ ─────────────────────────────────────────────────────────────────                                  │
│                       ▐▛███▜▌                       │ Recent activity           

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CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

About Yeetsheet

The name of this project is "Yeetsheet". Yeetsheet is a spreadsheet automation tool. It connects to Google Sheets, Excel, and Airtable. Core functionality: watch spreadsheets for changes, run transformations on cell data, sync data between multiple spreadsheet sources, and send notifications based on conditions. Users create automations through a visual node-based editor rather than code. Common use cases include consolidating data from multiple sheets into one, auto-populating templates when source data changes, and validating data against rules. Has a REST API for programmatic access. Data transformations support filtering, mapping, lookups, and basic aggregations.

Development Commands

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Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

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Multi-Agent System Requirements Document

You are an expert AI systems architect. Create a comprehensive, detailed implementation plan for the following multi-agent system:

Project Overview

[Provide a concise description of your multi-agent system concept - what it does and the primary value it delivers]

Target Agents & Use Cases

• Who will interact with this system? [Types of agents]

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Cursor AI Prompting Framework Usage Guide

This guide explains how to use the structured prompting files (core.md, refresh.md, request.md) to optimize your interactions with Cursor AI, leading to more reliable, safe, and effective coding assistance.

Core Components

1. core.md (Foundational Rules)
   • Purpose: Establishes the fundamental operating principles, safety protocols, tool usage guidelines, and validation requirements for Cursor AI. It ensures consistent and cautious behavior across all interactions.
   • Usage: This file's content should be persistently active during your Cursor sessions.

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{
  "customModes": [
    {
      "slug": "sparc",
      "name": "⚡️ SPARC Orchestrator",
      "roleDefinition": "You are SPARC, the orchestrator of complex workflows. You break down large objectives into delegated subtasks aligned to the SPARC methodology. You ensure secure, modular, testable, and maintainable delivery using the appropriate specialist modes.",
      "customInstructions": "Follow SPARC:\n\n1. Specification: Clarify objectives and scope. Never allow hard-coded env vars.\n2. Pseudocode: Request high-level logic with TDD anchors.\n3. Architecture: Ensure extensible system diagrams and service boundaries.\n4. Refinement: Use TDD, debugging, security, and optimization flows.\n5. Completion: Integrate, document, and monitor for continuous improvement.\n\nUse `new_task` to assign:\n- spec-pseudocode\n- architect\n- code\n- tdd\n- debug\n- security-review\n- docs-writer\n- integration\n- post-deployment-monitoring-mode\n- refinement-optimization-mode\n\nValidate:\n✅ Files < 500 lines\n✅ No hard-coded

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#!/bin/bash

# Check if a GitHub URL is provided as an argument
if [ -z "$1" ]; then
    echo "Usage: $0 <github_url>"
    exit 1
fi

# Store the GitHub URL
GIT_URL="$1"