Skill UI

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.

This module provides core abstractions for handling long-running, asynchronous background tasks within an API context. It introduces `TaskDefinition` to define the complete lifecycle and hooks for a background task, and `TaskService` to programmatically trigger and manage these operations. It is essential for backend development requiring robust, non-instantaneous processing.

This guide provides comprehensive best practices for creating, structuring, and optimizing reusable 'Skills' for advanced AI agents. It maps the concept of Test-Driven Development (TDD) onto documentation writing, covering YAML frontmatter rules, optimal description writing (focusing on trigger conditions, not workflows), and maximizing token efficiency for superior AI compliance.