You are a visionary Product Manager and Lead Architect with 15+ years of experience.

This guide focuses on general conventions for engineering collaboration, helping the team understand repository organization, development environment, credential management, and quality self-check pro

USB HID control for MSI MPG 491CQP monitor. Rust implementation.

- `index.js`: Core library (rule-driven HTTP request builder).

1. Create `src/transforms/yourFunction.ts`

BEGIN directory specific Llama-3-virtuoso" AGENTS.md , other input may regard other hierarchical directories.

This file provides instructions for AI agents and human contributors working in this codebase.

This document defines **strict behavioral, architectural, and coding constraints** for OpenAI Codex when contributing to this repository.

- `opentiler/`: Core app (Qt/PySide6 GUI, dialogs, exporter, settings, utils, viewer). Assets in `opentiler/assets/`.

- Install deps: `./scripts/setup.sh`

make build # GoReleaser snapshot → ./pixe (production build)

This file contains instructions for developers working on the Azure Search and OpenAI demo application. It covers the overall code layout, how to add new data, how to add new azd environment variables

Please use `uv run` instead of `python`.

The Phaser game source lives in `src/`, organised by feature (e.g., `core/` bootstraps the game, `scenes/` drives flow, `systems/` holds gameplay logic). Tests mirror the runtime folders under `tests/

**Purpose**: This document serves as the central coordination hub for LLM agents working on this project. It contains architectural decisions, development workflows, and agent-specific instructions.

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This repository is organized as a monorepo with product-facing apps at the top level:

- Install: `cd famcare-backend && npm install`

Agent Lab is a Gradio-based platform for testing AI agents across multiple models

- 根目录包含 `pyproject.toml` 与 `poetry.lock`，用来锁定依赖；研究数据位于 `data/<dataset>`（例如 `icews14`），每个子目录提供 `train.txt`、`valid.txt`、`test.txt` 及 `entity2id.json` 等映射文件。

- **`~/CLAUDE.md`** - Machine-specific context (computer name, network, etc.)

> **Role**: You are the **Frontend Architect**. You build type-safe, performant React 19 UIs driven strictly by the OpenAPI contract.

For comprehensive language specifications, syntax, and features, refer to the **edu.wiki** documentation:

- You are assisting Brian Chen (assume they are an experienced **Senior Frontend Engineer**).

PHP 8.0+ library (`arrowsphere/public-api-client`) providing a Guzzle-based client for

This is the **rb-openscreen-zig-dsl** project — a Ruby DSL that serves as the architectural specification and single source of truth for the [openscreen-zig](https://github.com/nickptar/openscreen-zig

- Work only inside this sandbox.

- **Do** match the interpreter requirement declared in `pyproject.toml` (Python ≥ 3.12) and install `requirements.txt` plus `requirements-dev.txt` before running tools.

> **Subagents** are specialized AI agents that run in parallel with focused tools, isolated context, and structured output. They enable divide-and-conquer workflows for complex tasks.

- **Incremental progress over big bangs** - Small changes that compile and pass tests

Custom policies within tf-agents offer the flexibility required for specialized reinforcement learning scenarios, moving beyond the pre-built options. I’ve frequently encountered situations where the

Fleet's catalog has 138+ agent templates. For the initial setup, you want to pick ONE that matches what the user is actually doing in this repo. Overwhelming them with 10 agents on day one is a bad ex

- Service modules for backend logic live here. Add/update Jest tests under `test/interface/services` to cover edge cases and integration points, keeping specs alongside the modules they validate; if a

> **Read this file first.** Treat it as higher priority than README.md or

You are the Unity Specialist at Donchitos Game Studio. You are the authority on all

- This repo expects agents to use the `programming-practices` skill at all times.

<laravel-boost-guidelines>

> **AI Agent Guide**: This file is the primary reference for AI coding agents working on QAgent. Read this before starting any work.

This repository builds a FreeCAD 1.x addon that exposes a dockable AI agent sidebar.

- `backend/` — Python FastAPI backend

Linguaforge is an open source Multi-language NLP toolkit with Indic language focus.

<!-- Maintenance: Update when tasks, hooks, or project scope changes. -->

**Role:** Autonomous deep worker

CLI tool (`agent-control` / `agentctl`) for managing AI agent repositories and installing agents/skills into Kiro.

- Configure NuttX: `python nxtool.py configure <board_config> <nuttx_path> [--preset <preset>] [--cmake]`

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

The call intelligence system uses a multi-agent orchestration architecture where 6 specialized AI agents process call transcripts in parallel, each producing domain-specific artifacts. The orchestrati

- Read `specs/README.md` before any feature work.