7 boosters for "home-assistant" — open source, verified from GitHub, ready to install
Real-time monocular depth estimation using Depth Anything v2. Transforms camera feeds with colorized depth maps — near objects appear warm, far objects appear cool. When used for privacy mode, the blend mode fully anonymizes the scene while preserving spatial layout and activity, enabling security
Cursor rules for refactoring Strava Home Assistant integration to use consolidated sensors per activity type, remove external dependencies, and add device tracking. Useful for Home Assistant developers and Strava integration maintainers.
Cursor rules for WiiM Home Assistant integration development that enforces architectural decisions and prevents technical debt by mandating fixes in pywiim rather than workarounds in the HA layer. Developers working on this Home Assistant integration will follow these rules to maintain code quality and proper separation of concerns.
This MCP server enables developers to manage Home Assistant directly from Cursor, VS Code, or Claude Code using natural language—creating automations, dashboards, and configurations without leaving their IDE. It's essential for smart home enthusiasts and developers who want AI-assisted Home Assistant development.
Meta-rules for managing instruction and rule files across GitHub Copilot and Cursor, establishing a dual-system architecture with shared source files and symlinks. Developers managing AI instruction systems across multiple platforms benefit from standardized file organization and maintenance guidelines.
This booster provides AI code style and formatting rules for the FanSync Home Assistant integration, enforcing Python 3.13+ standards, type hints, and licensing requirements through Copilot. Developers contributing to this HACS integration benefit from automated guidance on code quality and consistency.
Enhanced MCP server that integrates Home Assistant with Claude, enabling AI-powered smart home automation and control through the Model Context Protocol. Ideal for developers building intelligent home automation workflows and AI-assisted IoT management.
