Skill UI

This skill integrates Aegis detection events directly into Home Assistant. By firing specific `aegis_detection` events, it allows users to automate actions in their smart home setup. Users can configure automations to automatically turn on lights, send notifications, or execute complex routines based on detected security activity. Requires HA credentials for secure connection.

Analyzes, plans, and executes upgrades for the Hex SDK, providing detailed detection of breaking changes, deprecations, and API version updates. Use this skill when migrating data pipelines or backend code to ensure compatibility with the latest Hex API standards.

This bridge provides bidirectional integration between Home Assistant (HA) and advanced AI pipelines. It streams HA camera feeds into the AI system for sophisticated analysis (detection, VLM, REID). Conversely, the analysis results—such as detected objects, descriptions, and person identities—are sent back to HA as image_processing entities, enabling powerful automation and smart notifications.

This benchmark evaluates Vision-Language Models (VLMs) on detecting potential safety hazards within indoor environments. It uses static camera frames, simulating real-world fixed security camera monitoring. The test covers 40 scenarios across 5 critical categories, including fire/smoke, electrical risks, trips/falls, child safety, and falling objects, providing a rigorous measure of VLM's practical safety inspection capability.

A comprehensive solution for managing Personally Identifiable Information (PII) and ensuring compliance with global privacy regulations like GDPR and CCPA within Klaviyo. This skill guides developers on implementing critical functions, including the 'right to erasure' (profile deletion), handling Data Subject Access Requests (DSAR) by exporting all user data, and implementing PII detection and redaction for safe logging practices. It ensures that data handling processes meet legal standards.

This guide provides a comprehensive strategy for configuring Klaviyo across development, staging, and production environments. It covers best practices for using separate API keys, implementing robust environment detection logic (like reading NODE_ENV), and utilizing secret management solutions (AWS/GCP/Vault). Crucially, it teaches how to implement 'guards' to prevent accidental real-world actions, such as sending live emails or deleting data, in non-production environments, ensuring data integrity and smooth CI/CD deployment.

This comprehensive skill manages the entire computer vision pipeline, from custom dataset annotation to model deployment. Users can fine-tune YOLO models on proprietary COCO-formatted datasets using an agent-driven workflow. Key features include hardware-aware training (supporting CUDA, MPS, ROCm), automatic export to optimized formats (TensorRT, CoreML, OpenVINO, ONNX), and seamless, one-click deployment as an active detection skill.

This utility publishes various Aegis-related events (such as person detection, alerts, and clip completion) to an MQTT broker. It is designed for seamless integration with smart home and automation platforms like Home Assistant or Node-RED, enabling real-time, event-driven monitoring and system linkage.

A guide to building resilient software integrations when dealing with external APIs that lack formal versioning, changelogs, or guaranteed backward compatibility. Learn defensive coding patterns, implementing schema drift detection via CLI tools (curl, jq), using fallback field names, and executing gradual feature flag rollouts to maintain production stability.

This guide provides comprehensive methods for building robust change detection and event handling within Notion workspaces. It compares the reliability, complexity, and latency of three approaches: polling using last_edited_time, utilizing native webhooks, and using third-party connectors. Learn how to implement reliable, incremental synchronization, change feeds, and event-driven workflows using the Notion API to ensure data consistency and near real-time updates.

This skill provides a seamless workflow for publishing content stored in Obsidian notes to X (Twitter). It intelligently handles both short-form posts (text, images, videos) and rich, long-form articles (X Articles) derived from Markdown. By utilizing a real Chrome browser, it ensures compatibility and bypasses anti-bot detection mechanisms, making it ideal for content creators and knowledge workers who need to automate their social media sharing process from their local knowledge base.

This comprehensive checklist provides a deep dive into Endpoint Detection and Response (EDR) architecture and monitoring mechanisms. It details advanced evasion techniques, such as direct syscalls, AMSI bypass, kernel patching, and memory manipulation. This skill is essential for red team engagements, penetration testing, and advanced malware research to thoroughly assess and bypass modern security defenses.