Use for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from high-taste image-generated concept design with faithful implementation and browser testing.

Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level checks, especially to uncover edge cases, undocumented behavior, or common failure modes in local or live integrations. A baseline smoke check is fine as an entry point, but do not stop at happy-path confirmation.

Guide for upgrading Stripe API versions and SDKs

Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When an agent needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.

Build, run, and debug local macOS apps and desktop executables using shell-first Xcode and Swift workflows. Use when asked to build a Mac app, launch it, diagnose compiler or linker failures, inspect startup problems, or debug desktop-only runtime issues.

Vercel Flags guidance — feature flags platform with unified dashboard, Flags Explorer, gradual rollouts, A/B testing, and provider adapters. Use when implementing feature flags, experimentation, or staged rollouts.

Agent-specific guidance. Read `CLAUDE.md` first for repo map and commands.

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

This `Agents.md` file provides detailed instructions for OpenAI Codex and other AI agents collaborating on this repository. It includes project structure, conventions, testing, and update policies.

> **TL;DR**

- `lib/` — Flutter/Dart source (features, services, widgets). Do not edit generated files (`*.g.dart`, `*.freezed.dart`).

This file contains build commands, code style guidelines, and development practices for agentic coding agents working in this netlab repository.

Look through the /docs folder to learn details about:

See [ARCHITECTURE.md](./ARCHITECTURE.md) for more information about how the code

This repository is a coding-interview practice workspace with a Tk/Ttk GUI for generating problem stubs, editing code, and running tests. Everything lives under `/Users/andrewzhao/Documents/coding_int

<skills_system priority="1">

This document provides guidance for AI agents working with the Neural Radar Development Kit (NRDK), a Python framework for developing, training, and evaluating machine learning models on radar spectru

This document provides essential guidelines for working with the Steeltoe codebase. For detailed build and test procedures, refer to the [GitHub workflows](.github/workflows/) which serve as the sourc

This repo is a **static web app** (no build step) plus **Playwright smoke tests**.

This appears to be a transcript of a presentation on AI trends, specifically focusing on agentic workflows, visual AI, and large language models. The speaker discusses several key points, including:

Understanding the multi-agent system

**Claude Code: Please execute all steps below to set up parallel AI agents for the ZMF Production Dashboard**

Someone built a multi-agent orchestration system for VS Code Copilot with dedicated agent files for each role. The economics are wild, but the architecture patterns are what I can't stop thinking about.

LLM-powered coding and shell assistants that use tools to help with development

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.

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`

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:

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

- **`~/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.

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

- **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.

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

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

<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.

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

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