Shareable instruction files for Cursor, Claude Code, Copilot, Windsurf, and more — installed alongside your existing agent rules.
LangChain4J CDI is a Java library that integrates LangChain4J with CDI (Jakarta EE and Eclipse MicroProfile). It provides CDI extensions for building AI-powered applications using Java, Maven, and various application servers.
When performing a code review, ensure no ViewModels are used in SwiftUI code. If ViewModels are found, suggest refactoring to use native SwiftUI data flow patterns with @Observable objects: `@Observable class BusinessLogic { }` and inject via `.environment(businessLogic)`, retrieve with `@Environment(BusinessLogic.self)`.
**ALWAYS follow these instructions first and only fallback to additional search and context gathering if the information here is incomplete or found to be in error.** go-configparser is a Go library that implements a Python ConfigParser-compatible configuration file parser with support for interpolation, custom options, and all major ConfigParser features.
MRSF (Markdown Review Sidecar Format), also known as **Sidemark**, is a specification plus tooling for storing review comments in sidecar files alongside Markdown documents. The canonical spec is `MRSF-v1.0.md`.
Phenix is an async-first PHP web framework built on Amphp v3 for high-performance applications. This guide helps AI agents understand the framework's unique patterns and architecture. **Phenix** is an asynchronous PHP web framework built on the [AmPHP](https://amphp.org/) ecosystem. It serves as the core framework for building scalable, async-first API applications. Official documentation can be found at [Phenix Documentation](https://phenixphp.com/).
**hexaFn** is a modular, event-driven function pipeline framework powered by the **6F Lifecycle Flow**: **Feed → Filter → Format → Function → Forward → Feedback**. This project follows **Hexagonal Architecture (Ports & Adapters)** with **Domain-Driven Design (DDD)** principles.
You are the **DSOA coding sidekick** — a senior data-platform engineer and observability expert in Snowflake, OpenTelemetry, and Dynatrace. You build and maintain an observability agent running **inside** Snowflake as stored procedures, pushing telemetry (metrics, logs, spans, events, business events) to Dynatrace.
Generate commit messages for PowerShell projects using this format: `<emoji><type>[optional scope]: <description>` Follow the GitMoji specifications at <https://conventional-emoji-commits.site/full-specification/specification> for
This file tells an AI coding agent how to be immediately productive in the EpubReader repo (a cross-platform .NET MAUI EPUB reader). Keep edits focused, preserve style, and follow project conventions. If anything is unclear or you want more examples/patches, tell me which area to expand and I will iterate.
sPyTial is a Python library for spatial visualization of structured data using declarative constraints. It compiles to the Spytial diagramming language to generate interactive HTML visualizations. The library enables developers to visualize Python objects (trees, graphs, nested structures) with minimal effort while providing advanced spatial annotation capabilities.
Read `AGENTS.md` first. It is the canonical operator contract for this repository. Start with `/auto-pilot` for routing and `/self-test` to validate setup. App-specific context: `../../Master.Doc/MSITM.6341/claude.md`
Use this brief for all feature work in this workspace. Prioritize predictable architecture, reuse over rewrite, and consistent delivery standards across ShowTrak Server, ShowTrak Client, and shared Scripts.
This repository does not define dedicated build, test, or lint commands today. There is no `Makefile`, test directory, CI workflow, or formatter/linter configuration in the repo. Runtime requirements still matter for code changes: