Skill UI

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.

This skill guides the entire lifecycle of creating, validating, and publishing Power BI Paginated Reports (RDL). It covers the specific XML structure, best practices for maintaining print-faithful layouts (like invoices or statements), and the rigorous development workflow. It emphasizes that successful rendering (PDF output) is the ultimate measure of completion, not just structural validation.

This workflow is designed to rigorously stress-test any plan, design, or architectural concept before implementation. It acts as a demanding interviewer, asking deep, cascading questions one at a time to identify hidden dependencies, resolve ambiguities, and ensure comprehensive coverage. Use this when you need to validate a concept against all possible failure modes or explore every corner of a complex system design.

This workflow helps developers quickly build throwaway prototypes to answer specific design or functionality questions. It can generate interactive terminal applications to test complex state/business logic, or create multiple radically different UI variations toggleable from a single view, allowing for rapid validation of ideas before committing to production code.

This guide outlines the comprehensive process of access recertification (or access review) using Saviynt Enterprise Identity Cloud. It details how to automate periodic validation of user entitlements to ensure adherence to the principle of least privilege. This function is critical for maintaining compliance with major standards such as SOX, SOC 2, and HIPAA. The process covers configuring various campaign types, managing the decision lifecycle (Approve/Revoke), and implementing remediation workflows.

This skill provides a comprehensive workflow for verifying the integrity of a system's boot chain using TPM 2.0. It covers local validation by reading Platform Configuration Registers (PCRs) and replaying the event log, and remote attestation by generating and checking signed quotes. Use cases include enforcing Zero Trust device posture, detecting firmware tampering, or establishing secure secret baselines.

Before You Build acts as a crucial checkpoint in the AI coding workflow. It prevents premature implementation by rigorously assessing product risk—analyzing market demand, existing user workflows, switching costs, and distribution channels. Instead of writing code, it guides the user to define core assumptions and propose the smallest, most effective validation test (e.g., landing page test, user interview) before committing resources.

Guides users through the complete GAIA benchmark submission process, including environment validation, cost estimation, benchmark execution, result packaging, and leaderboard comparison. Ensures integrity via audit reports before submission to the Princeton GAIA leaderboard.

This optimizer guides the acceleration of complex, multi-stage processes, such as CI/CD pipelines, large-scale refactoring, or data validation. It instructs users to decompose large tasks into independent execution lanes, build a dependency graph, batch read/check operations, and manage writes with strict isolation to maximize speed without sacrificing correctness. Ideal for optimizing development workflows and testing cycles.

This skill runs a single, simulated tick of a defined business pod (Sales). It is designed for dry-run testing, allowing users to validate inputs, resolve agents, and reserve budgeted resources without invoking real LLM workers. It handles template loading, schema validation, budget management, and emits structured status reports for subsequent workflow consumption.

This comprehensive workflow guides researchers through the entire academic publication lifecycle for submissions to the Chinese Journal of Management Science. It acts as a critical router, ensuring manuscripts cover essential stages: topic selection, advanced model formulation, algorithm design, empirical validation (out-of-sample testing), and generating actionable managerial insights. It helps prevent common pitfalls like lacking empirical depth or misaligning with the journal's core focus on applied modeling.

This central routing skill guides authors through the complex process of journal selection for engineering and technology manuscripts. It does not replace a single journal submission but first classifies the content based on the engineering sub-discipline, contribution type (e.g., method, system, device), validation shape (e.g., simulation, field experiment), and intended audience breadth. It then routes the paper to the most specialized and appropriate journal skill for accurate re-framing and submission.