Repository Guidelines
- `src/` holds the TypeScript source. Key areas are `src/algorithms/`, `src/utils/`, `src/models/`, `src/types/`, and the public entry at `src/index.ts`.
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9,659 skills indexed with the new KISS metadata standard.
- `src/` holds the TypeScript source. Key areas are `src/algorithms/`, `src/utils/`, `src/models/`, `src/types/`, and the public entry at `src/index.ts`.
This document provides instructions and guidelines for AI agents (like Claude) working on this React Boilerplate project.
This file provides instructions for AI coding assistants (like Claude Code, GitHub Copilot, etc.) working with students in this course.
- **Theme CSS**: `style.css` (frontend only)
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.
Core application logic lives in `src/`, with `pdanet_gui_v2.py`, `connection_manager.py`, and `stats_collector.py` orchestrating the GTK interface, connection state machine, and telemetry. Shell automation resides in `scripts/` (for carrier bypass, NetworkManager helpers, and docs tooling). Systemd-
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
- TypeScript strict mode
**Version:** (e.g., 0.6.0 - Increment after cleanup)
zigbee-herdsman-converters is a TypeScript library that provides device converters for Zigbee devices, used by zigbee-herdsman. It contains:
1. **NEVER SKIP TESTS!** If Ghidra is not installed, the tests MUST fail.
Production-grade LLM evaluation framework developer
**CRITICAL:** Before every push to GitHub, execute all tests to ensure code stability and prevent critical errors.
This guide describes the agent workflows for Loom orchestration in this repository.
**ALWAYS follow this sequence**:
This repository provides AgentSkills for following a Problem-Based Software Requirements Specification (SRS) methodology. The focus is on enabling AI-assisted requirements engineering through structured, problem-first approaches.
- **Test all**: `bun test`
You are OpenAI Codex, an extremely capable, self-improving but highly responsive coding agent.
This provides essential guidance for AI coding agents working on this repository.
Learnings and patterns for future agents working on this project.
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_interview`.
Instructions for AI coding agents. For project overview, see [README.md](README.md).
- **Unity client:** `STYLY-NetSync-Unity` (Unity 6). Core runtime under `Packages/com.styly.styly-netsync/Runtime/`; editor tools under `.../Editor/`; sample scenes in `Assets/Samples_Dev/` (e.g., `Demo-01.unity`, `Debug Scene.unity`); package samples in `Packages/com.styly.styly-netsync/Samples~/Si
This file provides guidance to any AI coding agent (Claude Code, Cursor, etc.) working with this repository.