Skill UI

This skill enables the generation of high-quality, cinematic videos using a highly structured prompt format (JSON). Users define detailed cinematic elements—including background, characters, camera movements, dialogue, and audio—and can optionally provide a reference image to guide the visual style or content of the final output. It automates the complex AIGC video generation workflow.

Streamlines the process of providing code review feedback by enforcing a highly structured, ultra-compressed format. It guides users to cut through noise and deliver actionable, single-line comments (Location: Problem. Fix.) while maintaining critical context like severity and technical rationale. Ideal for team settings prioritizing efficiency and high code quality.

Enables structured cloud penetration testing across Azure, AWS, and GCP by guiding reconnaissance, authentication, enumeration, exploitation, and persistence workflows for authorized assessments.

This utility compresses natural language documents (notes, preferences, memory files) into a highly condensed, 'caveman-speak' format. Its primary function is drastically reducing input tokens for efficiency while meticulously preserving all technical substance, including code blocks, URLs, file paths, and markdown structure. Ideal for optimizing memory consumption when interacting with AI models.

Use the gh CLI to inspect PRs, issues, workflow runs, and logs while querying GitHub resources via the API or structured JSON filters.

Create, update, and connect nodes/edges inside Obsidian .canvas files, enabling structured mind maps, flowcharts, and visual canvases by validating IDs, spacing, and JSON integrity.

This skill guides the creation and editing of Obsidian Bases (.base files). It enables users to build dynamic, database-like views of notes by applying complex filters (AND, OR, NOT), defining computed properties using formulas, and configuring multiple views (table, cards, list). Use this when you need to aggregate, filter, or summarize information across multiple notes in a structured way, simulating a lightweight, navigable knowledge database.

Structured checklist guiding the planning, scoping, environment prep, tester selection, and reporting phases of penetration tests to keep security assessments thorough and compliant.

This skill provides comprehensive management for annotation schemas (configs) and human review workflows (queues) within the Arize platform. It supports defining categorical, continuous, and freeform label types. Users can programmatically apply these annotations to project spans and datasets using the Python SDK, facilitating structured human feedback loops and improving model monitoring.

This guide teaches how to build well-structured and robust ASP.NET Minimal APIs. It covers best practices for API organization, defining clear DTOs with proper validation, handling strongly-typed parameters, and leveraging modern C# features. Crucially, it demonstrates how to generate comprehensive, standards-compliant OpenAPI/Swagger documentation using built-in .NET features, ensuring APIs are fully documented for seamless consumption.

This advanced prompt acts as a structured guide for generating comprehensive, enterprise-grade technical implementation plans. It forces the detailed breakdown of a feature based on a PRD, covering system architecture (Mermaid diagrams), database schema design, API specifications, frontend component hierarchy, and deployment strategies, all while adhering to a monorepo structure. Ideal for large-scale SaaS development.

This advanced prompt simulates a Senior Project Manager and DevOps specialist. It takes comprehensive feature artifacts (PRD, technical breakdowns, testing plans) and generates a structured, automated GitHub project plan. It enforces Agile best practices (Epic > Feature > Story > Enabler > Task) and includes templates for issue creation, dependency management, risk assessment, and Definition of Done, ensuring robust project tracking within GitHub.