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.

This skill guides the setup of CI/CD pipelines for Hex data analytics projects using GitHub Actions. It enables running automated unit tests on pull requests and triggering live project runs on the main branch merge. Use this when establishing automated testing workflows, validating data transformation logic, or integrating Hex outputs into a continuous delivery process.

This guide provides a comprehensive walkthrough for integrating with the Hex API. It demonstrates the core workflow: list available Hex projects, trigger a project run with custom input parameters, and poll the status until the job is successfully completed. Ideal for setting up automated data pipelines, building robust backend services, or deeply integrating Hex functionality into external applications.

This skill provides comprehensive documentation and implementation guidance for setting up and handling MindTickle webhooks. It allows external applications to react in real-time to key user lifecycle events, such as course completion, quiz submissions, user provisioning, and progress updates. Use cases include syncing progress to HRIS/CRM (e.g., Salesforce), triggering automated alerts, or managing user access in downstream systems.

This skill implements resilient API interaction patterns for external services. It uses adaptive rate-limiting techniques, including exponential backoff and jitter, to gracefully handle HTTP 429 errors, adapting to undocumented server limits. Furthermore, it provides a dedicated request queue mechanism to manage concurrency, ensuring reliable execution of large-scale, bulk data operations without triggering service throttling.

This skill provides implementation patterns for interacting with RunwayML webhooks. It enables complex tasks such as AI video generation, image editing, and advanced creative content workflows. By using the provided Python SDK pattern, developers can trigger video creation tasks (e.g., image-to-video) and handle the asynchronous results, making it ideal for integrating high-end creative AI into applications.

This comprehensive skill guides users through the entire lifecycle of developing AI agent skills. From initial concept (Understand) to structured design, writing the core skill logic, rigorous testing, and final performance optimization. It ensures skills are robust, accurate, and highly triggerable across any domain, including engineering, content creation, and research.

This skill provides comprehensive diagnosis and optimization for agent skill libraries. By analyzing historical session transcripts from platforms like Claude Code and Codex, alongside static skill file checks, it scores each skill across 8 dimensions. It identifies issues such as low trigger rates, poor post-invocation user reaction, and incomplete workflow execution, generating a prioritized report (P0/P1/P2) to significantly improve the agent's overall performance and reliability.

This comprehensive guide demonstrates how to establish a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline for Snowflake data warehousing. It integrates SchemaChange for managing version-controlled database migrations, GitHub Actions for automated testing and deployment triggering, and Terraform for provisioning and managing underlying Snowflake infrastructure (databases, warehouses, roles). Use this when setting up reliable, repeatable, and automated deployment workflows.

Master event-driven patterns within Snowflake using native alerts, email integrations, external functions, and cloud notification services (S3/GCS). This skill is essential for building robust, reactive pipelines that trigger actions (like sending alerts, calling external APIs, or ingesting data) in response to data changes or specific system events. Use cases include data quality checks, real-time monitoring, and automated notifications.

This guide provides comprehensive implementation details for Webflow webhooks. It covers the entire lifecycle, including registering various trigger types (form submissions, new orders, site publishing) via the API. Critically, it teaches how to set up a secure backend endpoint with HMAC signature verification, allowing users to build robust, event-driven workflows that react automatically to user actions within Webflow.

This tool enables the real-time transmission of structured Aegis events (such as clip completion or person detection) to any external webhook URL. By posting event data as JSON, it seamlessly integrates Aegis functionality with major automation platforms like Zapier, IFTTT, Make, or custom backend services, allowing users to build complex, event-driven workflows and extend system capabilities.