Skill UI

This skill provides expert guidance on Section 508 compliance and WCAG 2.0 standards for US federal Information and Communication Technology (ICT). Use it for conducting comprehensive accessibility audits, generating VPAT/ACR reports, developing remediation plans, or answering detailed questions about the POUR principles. It covers federal procurement requirements, electronic documents, and diverse accessibility domains.

This skill analyzes code for language and framework-specific security best practices. It is designed to help users write secure-by-default code, passively detect major vulnerabilities, or generate comprehensive, prioritized vulnerability reports. Supports languages including Python, JavaScript/TypeScript, and Go, ensuring robust security standards throughout the development lifecycle.

Generate validated Seed specifications from interview results using MCP tools, user interaction, and code inspection capabilities. Supports both interview-based and interview-less workflows with audit trail maintenance and QA score tracking.

This skill guides the user through the manual process of linking a Power Apps Wrap mobile application to an existing Entra ID application registration. It resolves the necessary environment and tenant IDs, and then updates the local auth.config.json file with the captured Client ID, enabling the application's authentication against a specified Entra ID tenant.

A comprehensive skill for reviewing or drafting employment settlement agreements, ensuring compliance with complex statutory conditions (e.g., s.203 ERA 1996). It analyzes tax implications, structures compensation payments, and flags critical legal gaps in terms like confidentiality and restrictive covenants. Designed for HR professionals and legal users needing to draft or assess compromise agreements.

This skill orchestrates the end-to-end planning and design of a mobile app's data structure and required data sources. It can generate a Dataverse schema, plan necessary connectors, and guide the user through the combined approval process before execution. Ideal for redesigning existing apps or importing schemas from diagrams.

This skill provides an end-to-end wizard for creating a Dataverse Mobile Offline Profile, enabling Power Apps to function in an offline environment. It meticulously designs per-table row scopes, manages relationships, and defines column synchronization frequency through a multi-gate approval flow. It creates necessary Dataverse entities and configures the full app-level offline metadata, ensuring seamless offline data access for native mobile clients (iOS/Android).

This internal deterministic quality gate is used before meta-short-drama final publication. It rigorously verifies the media content's integrity by checking real-provider image/video receipts, confirming paid submission dispositions, and utilizing ffprobe to validate decodability and expected final durations. The tool is designed to sanitize all sensitive data, ensuring only bounded, auditable information is passed to the next stage.

This is an internal, deterministic consent gate used in the meta-short-drama workflow. It normalizes user-provided draft review comments and post-revision confirmation replies. Its primary function is to enforce a secure, bounded decision process, requiring explicit approval at every stage before any external image or video generation is authorized, thus preventing ambiguous inputs from proceeding.

This guide outlines best practices for organizing complex AI agent skills. It advises migrating scattered project rules and oversized documentation into a structured directory format, ensuring maintainability, improving trigger accuracy, and adhering to progressive rigor principles.

This comprehensive guide outlines the principles, architecture, and best practices for developing specialized, modular skills that extend large language model capabilities. Learn how to integrate domain expertise, multi-step workflows, API tool integrations, and structured resources while managing the context window efficiently.

A comprehensive security auditing tool for AI agent skills. It combines deterministic static scanning (SkillSpector) with deep semantic analysis to assess safety, trustworthiness, and potential risks. Determines if a skill is safe to install by checking for over-permissions, malicious behavior, and hidden dependencies.