Skill UI

The RunAPI CLI serves as the dedicated execution layer for interacting with RunAPI's suite of advanced AI models. It allows developers to programmatically generate multimodal content, including images, videos, and music/audio, directly from the terminal or CI/CD pipeline. Users can submit one-off jobs, manage asynchronous tasks, and pass complex JSON request bodies to various services like Suno, Claude, and Gemini, making it essential for robust AI automation workflows.

Use the composio CLI to orchestrate complex, end-to-end product releases across multiple services: Stripe for billing updates, Supabase for database migrations, and Vercel for frontend deployments. This single pipeline ensures that billing models, database schemas, and user interfaces are consistently updated in the correct sequence, guaranteeing reliable full-stack product launches.

This module provides a comprehensive catalog of abstractions and utilities for handling API webhooks within the Webiny framework. It covers essential components such as payload types (IWebhookPayload), domain models (Webhook), delivery mechanisms, and core services like WebhookDispatcher and WebhookFactory. It supports advanced features including event routing, data validation, and secure payload signing, making it ideal for backend integration development.

An interactive skill designed to guide users through the process of generating, auditing, and improving Best Practice Analyzer (BPA) rules for Power BI semantic models. It follows a double-diamond discovery process, first gathering deep organizational context and model details, and then recommending tailored rules for validation, governance, and compliance.

This skill provides expert guidance on writing and executing C# scripts to deeply manipulate Power BI semantic models. It allows users to perform bulk operations, manage security roles (RLS/OLS), format DAX expressions, and query model metadata via the TOM API, supporting both Tabular Editor 2 and 3 environments for advanced data engineering tasks.

This guide provides a comprehensive workflow for managing the refresh lifecycle of semantic models and datasets in Power BI/Fabric. It details how to use the enhanced REST API and Fabric CLI to trigger specific refresh types (e.g., full, dataOnly, calculate), validate data baselines, monitor status, and handle post-refresh validation, ensuring data integrity and proper pipeline orchestration.

The `te` CLI is a powerful, cross-platform command-line tool designed for managing complex semantic models (supporting Power BI, Fabric, Azure AS, SSAS). It allows users to scaffold, inspect, edit, validate, deploy, query, and test models entirely from the terminal. This makes it indispensable for implementing automated data workflows, CI/CD pipelines, and migrating model development from traditional GUIs.

This skill provides a comprehensive reference for the Tabular Editor 2 (TE2) command-line interface. It covers connecting to local files, remote XMLA endpoints (like Power BI/Analysis Services), executing scripts, deploying models, and running Best Practice Analysis (BPA). It is designed for automating data model deployment and managing CI/CD pipelines in Windows environments.