Rules

AI coding agent instructions for project conventions and guidelines.

AI coding agent instructions for project conventions and guidelines.

Guidance on how to navigate and modify this codebase.

insights-results-smart-proxy is a Go-based service for the Red Hat Insights ecosystem that acts as a unified gateway between external data pipeline clients and internal services. It aggregates and composes responses from multiple backend services including the [Insights Content Service](https://gitlab.cee.redhat.com/ccx/content-service) and [Insights Results Aggregator](https://github.com/RedHatInsights/insights-results-aggregator), providing a single API for clients to access cluster recommenda

AI coding agent instructions for project conventions and guidelines.

This repository is **RestSharp.RequestBuilder** — a .NET Standard library that provides a fluent wrapper for constructing `RestRequest` objects for RestSharp. :contentReference[oaicite:0]{index=0} This file exists to give coding agents the *operational* context needed to make correct, minimal, reviewable changes. :contentReference[oaicite:1]{index=1}

Welcome, autonomous agent! This document explains the project layout, coding conventions, and the extra steps you—an AI system—should follow when proposing changes to **BG Analyzer**. > **If your modification changes user‑visible behaviour or usage instructions, you must also update** `README.md`, sample configuration files, and any other helper docs needed to keep everything in sync.

AI coding agent instructions for project conventions and guidelines.

This file provides comprehensive guidance for AI agents working with code in this repository.

uv run fastapi dev main.py docker compose down -v atlas schema inspect -u "sqlite://file?cache=shared&mode=memory" --format "{{ sql . }}" atlas schema inspect -u "sqlite://issues.db" --format "{{ sql . }}" > migrate.sql

Read CLAUDE.md for complete project context and follow all guidelines there.

`Fear-of-Falling/`), unless the task is explicitly repo-root scoped.

3. **Ensure All Tests Pass:** Before you consider your task complete, you MUST run the full validation pipeline and ensure all tests pass. go run build.go validate **ATTENTION AI AGENT:** This document contains the official operating protocol for all AI-assisted development in the `shoal` repository. You are required to read, understand, and strictly adhere to these rules at all times. Failure to comply with these directives will result in corrective action.

This project has documented patterns and conventions in `.agent/skills/`. **Before implementing any feature, you MUST:** 1. Check which skills are relevant to your task 2. Read the `SKILL.md` file for those skills

oteam is a Python package for coordinating OpenCode agents around a shared git repo. Agents self-assign tickets, plan their work, and push changes with safety checks.

AI coding agent instructions for project conventions and guidelines.

Quick reference for AI agents performing quality assurance tasks in this monorepo.

Visionmate is a multi-modal assistant that continuously captures UVC video, screen content, or audio, streaming them to a VLM (Vision Language Model) to fuse visual and spoken context for near real-time conversational understanding.

This document defines how autonomous engineering agents should operate within the `eo-processor` repository. It covers: 1. Core mission and constraints 2. Repository awareness 4. How to add functionality (Rust + Python)

Use these skills for detailed patterns on-demand: | Skill | Description | URL | | ----------------------- | ------------------------------------------------------ | -------------------------------------------------------- |

AI coding agent instructions for project conventions and guidelines.

This guide explains how LLM-based agents should interact with **Code Executor MCP**. It focuses on the execute_code pattern, wrapper imports, and operational guardrails.