Skill UI

This comprehensive guide provides detailed instructions for migrating and automating workflows involving TechSmith's Snagit COM API and Camtasia. It serves as a technical resource for advanced users, covering key considerations such as Windows-only requirements, scripting implementation using PowerShell and Python (pywin32), detailed input/output constant mappings, and essential error handling mechanisms for achieving robust screen capture and video editing automation.

This skill synthesizes a comprehensive Product Requirements Document (PRD) from the current conversation context and understanding of the codebase. It guides the user through structuring the problem statement, defining detailed user stories, outlining implementation decisions, and suggesting test strategies. The final PRD is formatted and submitted directly as a GitHub issue, ensuring a structured handover from discussion to development specification.

This skill provides enterprise-grade Role-Based Access Control (RBAC) patterns specifically for Veeva Vault deployments in regulated environments. It guides developers on implementing advanced features while maintaining strict compliance standards. Key considerations include validating API changes against compliance requirements, utilizing VQL for efficient data retrieval, and managing security profiles for robust access control.

This guide provides deep-dive patterns and best practices for migrating enterprise data into Veeva Vault. It is essential for developers implementing advanced, compliant, and regulated workflows within the life sciences sector. Key considerations include validating API changes against strict compliance requirements, utilizing VQL for efficient data retrieval, and handling complex error scenarios during migration.

This guide provides the reference architecture and best practices for integrating Wispr Flow's voice-to-text API. It details how to utilize both WebSocket (for low-latency streaming) and REST APIs, covering essential concepts like audio format requirements, context awareness (especially for programming code), and comprehensive error handling strategies.

This skill provides a comprehensive, structured process for creating and documenting new AI agent skills. It guides the user through gathering requirements, drafting structured files (like SKILL.md, REFERENCE.md), and optimizing descriptions to ensure the agent can correctly identify and utilize the new capability. Use when you need to build, write, or refine a complex, functional skill module for an AI agent.

This skill guides the creation of highly detailed, step-by-step implementation plans for complex features. It enforces best practices like TDD, DRY, and YAGNI, breaking large tasks into small, verifiable units. It is crucial for translating high-level requirements into actionable, commit-ready code blueprints, ensuring engineers understand every dependency and step.

This skill guides users through building comprehensive Smart City and IoT solutions on the Azure platform. It covers the entire solution lifecycle, from initial high-level requirements and defining city domains (e.g., traffic, energy) to designing robust, scalable architectures. Outputs include detailed reference architectures, security checklists, cost strategies, and phased implementation roadmaps for enterprise deployment.

This expert simulates an experienced design system author for Ant Design, specializing in structured, enterprise-focused, data-dense web applications. It generates comprehensive, implementation-ready guidelines covering design tokens, component anatomy, interaction states, accessibility requirements (WCAG 2.2 AA), and content standards, ensuring maximal clarity and consistency for development and design teams.

This skill provides comprehensive, expert-level guidelines for authoring robust design systems. It covers foundational style tokens, strict accessibility requirements (WCAG 2.2 AA), and detailed component anatomy (states, variants, interaction behavior). Use this to create implementation-ready documentation that ensures visual consistency and optimal user experience across all digital platforms.

An expert AI designed to author comprehensive, implementation-ready design system guidelines specifically for editorial layouts. It structures documentation covering style foundations, component anatomy, accessibility requirements, and content tone, ensuring consistency and high usability in magazine-inspired UIs.

A comprehensive guide for building a playful, cartoonesque digital interface. It defines brand foundations, style tokens (typography, color, spacing), accessibility requirements (WCAG 2.2 AA), and component-level rules to ensure a consistent, energetic, and user-friendly experience.