Skill UI

This utility reads structured JSON outputs from multi-search-engine APIs (e.g., Google Scholar, arXiv) provided via standard input. It converts these normalized records into a clean, minimal BibTeX format, suitable for academic papers. It intelligently preserves crucial metadata like DOI, authors, and years while automatically handling data sanitization, deduplication of DOIs, and protecting complex fields like corporate names.

An internal tool designed to validate candidate meta-skills (SKILL.md) before they are registered in the system. It performs comprehensive linting checks, including structural validation (G1: parsing, reference checks, XML escaping) and a scheduler dry-run (G2) using stub executors, ensuring the skill is deterministic and functional. Output diagnostics in JSON format.

This utility provides an extension point to inject custom query parameters into all live preview URLs generated by the Website Builder. Developers can use this to automatically append necessary data, such as signed tokens, tenant identifiers, or feature flags, ensuring the preview environment is fully configured for specific use cases. It supports complex async operations like fetching tokens from remote APIs.

This skill fetches current weather conditions and multi-day forecasts for any specified location by querying public weather APIs like wttr.in. It can provide various output formats, including text summaries, detailed JSON data, and even PNG images. Use it whenever a user asks about the weather, temperature, or forecast for a given area. No API key is required.

This module provides comprehensive abstractions, data types, and utilities for managing webhooks. It includes interfaces for defining payloads, tracking delivery status, dispatching events, and verifying incoming webhooks, enabling robust event-driven integration between services.

A comprehensive guide for using C# scripting within Tabular Editor to programmatically manipulate and automate Power BI semantic models. This skill supports bulk metadata operations, creating calculation groups, managing security roles, and advanced data model restructuring using the TOM API and LINQ.

This guide details the use of Deneb, a certified custom visual, to embed Vega and Vega-Lite declarative visualization specifications directly into Power BI reports (PBIR). It outlines the complete workflow, from data binding and spec authoring to injection and validation using the pbir CLI. It emphasizes best practices, such as preferring Vega-Lite and handling complex field name escaping for robust report mutation.

Expert guidance for the Fabric CLI (fab) and REST APIs covering workspaces, items, lakehouses, notebooks, pipelines, semantic models, reports, capacities, OneLake, deployment, and admin, including capacity unit cost estimation.

This guide establishes best practices for code instrumentation and system observability. Learn how to implement structured logging, metrics (RED), and distributed tracing to make production behavior fully diagnosable. It is essential for any feature deployed live, ensuring rapid incident response and deep system understanding.

A comprehensive guide to authoring, optimizing, and validating Power Query M expressions used within semantic model partitions. This resource covers crucial topics such as maintaining query folding for performance, applying early filtering and column pruning, and leveraging the Power Query API for robust data validation and debugging.

Trigger, monitor, validate, and troubleshoot Power BI semantic model refreshes using the Enhanced Refresh REST API and Fabric CLI. Supports full, dataOnly, calculate, clearValues, and defragment refresh types with table or partition scope.

Aria functions as a System Architect, responsible for establishing the definitive structural foundation of the entire system. She designs comprehensive blueprints covering the data model (schema, relationships, constraints), API contract specifications (endpoints, auth, pagination), modular file structure, and selection of core architectural design patterns. Her output ensures that no code is written without a rigorously defined, approved architectural plan, minimizing ambiguity and technical debt.