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.

This utility takes multiple independently drafted sections of a research paper (Introduction, Method, Results, Discussion) and revises them into a single, highly coherent LaTeX body. It enforces consistency in terminology, metrics, and style, ensuring the final output meets academic standards and required length parameters, all while preserving critical citations and figure placements.

This tool generates a complete, publication-quality LaTeX fragment for a specific section of a research paper (e.g., Introduction, Method, Results). It strictly adheres to provided writing plans, structural conventions, citation budgets, and overall paper narratives, ensuring the output is ready for direct compilation and seamless integration into a full document.

A comprehensive studio for professional voice conversion. This tool allows users to transform local audio recordings into specific, authorized target voices. It manages complex workflows, requiring rigorous checks on source rights, target voice licensing, and detailed parameters like emotion, accent, pace, and language locale, ensuring compliance and high-quality output.

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.

PBIP is the developer-mode file format for Power BI, transforming the opaque PBIX binary into a human-readable, folder-based structure. This structure is crucial for enabling robust source control (Git diffing), external editing using specialized tools like VS Code, and seamless multi-author collaboration. It standardizes how reports and semantic models are structured for professional BI development pipelines.

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.

Provides expert guidance for authoring and editing Tabular Model Definition Language (TMDL) files directly within PBIP projects. This skill is designed for advanced users needing to perform quick, text-level modifications—such as updating descriptions, fixing format strings, or defining measures—when full, dedicated tools (like Tabular Editor CLI) are unavailable. It details critical syntax rules, object nesting, and file structures for managing complex semantic models.

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.

Luna serves as the final quality gate, rigorously reviewing code for objective correctness, security vulnerabilities, and overall reliability. It checks for critical flaws such as injection vulnerabilities, authorization bypasses, race conditions, and adherence to the architectural blueprint. It ensures that only high-quality, safe code progresses to QA and deployment.

A detailed, comprehensive reference guide covering best practices for securing modern applications. This checklist spans network architecture, API design, data encryption, authentication protocols, and regulatory compliance (GDPR, HIPAA, PCI-DSS), ensuring robust security across the entire technology stack.

This skill provides a systematic framework for diagnosing and proposing structural repairs for organizational failures. It moves beyond personal blame by analyzing complex dynamics such as team structures, project bottlenecks, authority chains, and governance gaps. It generates actionable memos and low-risk pilot plans, ensuring solutions address systemic root causes rather than individual shortcomings. Best used when CrossFrame Suite routes explicit organizational tasks.