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20,611 skills indexed with the new KISS metadata standard.
- [x] Verify that the copilot-instructions.md file in the .github directory is created. ✓ Created
**Tech Stack**: Next.js 15 + React 19, tRPC, Drizzle ORM (PostgreSQL), NextAuth.js, TailwindCSS v4, Bun runtime
This is a "frackend" application (frontend + backend) for collecting feedback to NAV (Norwegian Labour and Welfare Administration). It handles three types of feedback: service complaints (serviceklage), technical issues (feil-og-mangler), and compliments (ros-til-nav).
You must respond in Japanese.
- wxUI is a C++ header-only library that provides a declarative layer over wxWidgets. The public API is in `include/wxUI/*.hpp` and the INTERFACE target is declared in `CMakeLists.txt`.
This document tells an LLM how to write and validate two critical things in this repo:
=== foundation rules ===
- Nx monorepo; primary library lives in [packages/ngx-openlayers](packages/ngx-openlayers) with many secondary entry points (layer/control/interaction/source/view). Docs app sits in [apps/docs](apps/docs) using NgDoc.
=== foundation rules ===
<!-- Source: .ruler/AGENTS.md -->
The core of `apflow` is **task orchestration and execution specifications**. It provides a unified task orchestration framework that supports execution of multiple task types.
- Synchronous document DB for Google Apps Script (GAS), MongoDB-like syntax.
=== .ai/aiku-ai.guidelines rules ===
`mq` is a jq-like command-line tool for Markdown processing. Written in Rust, it allows you to easily slice, filter, map, and transform Markdown files.
generic skill
IF (
../LLM.md
**Project**: HERMES_Quantum - Multi-Agent AI System for Quantum Computing Stock Analysis
This file provides coding standards and guidelines for GitHub Copilot when working with this repository.
tucked behind ear
{
21-29
warped hands
Review actual code implementations (Python, JavaScript, TypeScript, React) for correctness, maintainability, security hygiene, and adherence to project patterns. Use when reviewing pull requests to ensure code quality, proper error handling, adequate test coverage mapped to acceptance criteria, and alignment with architecture boundaries and review standards.