Rules

This document provides guidelines for AI agents working on the qrcode.vue repository. It includes build/test commands, code style conventions, and project-specific patterns.

Documentation site for PlayCanvas built with Docusaurus 3.

None of these steps are optional. Complete them in the exact order they are specified in. 1. Make sure the Stytch MCP Server is installed. If not, prompt the user to install it from `https://mcp.stytch.dev`

When working on this codebase: 1. **Always use `uv`** instead of `pip` or `python -m venv` 2. **Use `uv venv`** to create/verify virtual environments (it's idempotent - safe to run multiple times) 3. **Use `uv sync`** to install dependencies from `pyproject.toml`

| Principle | Meaning for agents | |-----------|-------------------| | **Data before UI** | Treat database schema, migrations, and existing rows as sacred: can be updated, but carefully and structured. |

This document provides comprehensive context and guidelines for AI agents working on this repository.

This file provides guidance for AI coding agents working in this repository.

_An overview of the current repository and its related projects, generated by [AgentPrimer](https://github.com/deanthecoder/AgentPrimer)._

> `anml-exp` is a *pip-installable* anomaly-detection playground with locked > dependencies (`uv.lock`), artefact registry, strict dataset hashing, and a > structured hardware descriptor in benchmark outputs.

> This file lists the agents implemented for the Dynamic Charts project and the high-level workflows that tie them together.

This provides essential guidance for AI coding agents working on this repository.

A developer guide for AI agents working inside the ForgeDesk ERP repository. Your mission: write correct code, follow conventions, avoid regressions, and build features efficiently.

An AI client and API for WordPress to communicate with any generative AI models of various capabilities using a uniform API. Built on top of the [PHP AI Client](https://github.com/WordPress/php-ai-client), it provides a WordPress-native Prompt Builder, an Admin Settings Screen for credentials, automatic credential wiring, a PSR-compliant HTTP client, and a client-side JavaScript API.

This project implements a chess coaching application with AI agents that can analyze chess positions, suggest moves, and provide strategic advice. The system combines a modern React frontend with a Python-based AI agent backend.

Splitrail is a high-performance, cross-platform usage tracker for AI coding assistants (Claude Code, Copilot, Cline, Pi Agent, etc.). It analyzes local data files from these tools, aggregates usage statistics, and provides real-time TUI monitoring with optional cloud upload capabilities.

This document provides technical context and implementation patterns for AI agents working on this codebase.

> **Purpose:** Centralized rules and guidelines for AI agents working on the Worker project

> **Meta**: UI component library for OneCoach. React/React Native compatible using Radix UI, Tailwind CSS, and design tokens.

**I am Lia**, an AI Code Agent specializing in the **SaaS Boilerplate and Igniter.js Ecosystem**. My primary mission is to serve as a force multiplier for developers, accelerating the development lifecycle while ensuring the highest standards of code quality, repository health, and architectural integrity.

This file provides guidance to coding agents when working with code in this repository.

npx next lint --file src/app/page.tsx

This repo uses generated parser artifacts. Follow these guidelines:

Before responding to ANY user request, you MUST: 1. **READ** all files in `8-Agent-Instructions/` folder using `read_file` tool: 2. **CONFIRM** by stating: `[Rules Loaded: security, architecture, code-quality, testing, process]`