Explore our collection of Agent Skills to enhance your AI workflow.
Provides definitive time unit references and optimal duration guidelines for FFmpeg filters and ASS/SSA subtitle animations.
Resolves path conversion conflicts between Windows and Git Bash for SSDT, SqlPackage, and DACPAC workflows.
Streamlines Python development using high-performance tools like uv and Ruff for dependency management, project configuration, and environment setup.
Provides comprehensive access to the official Microsoft guide for building containerized .NET microservices and distributed applications.
Implements high-velocity trunk-based development and AI-driven security scanning for modern GitHub repositories.
Optimizes and standardizes Azure DevOps YAML pipelines using industry-leading best practices for security, performance, and scalability.
Streamlines the implementation of type-safe server-side mutations and optimistic UI patterns in Next.js 15+ applications.
Leverages Git 2.49+ features like git-backfill and the path-walk API to optimize repository performance and partial clone workflows.
Optimizes YouTube long-form content for maximum watch time, SEO rankings, and viral potential through data-driven growth strategies.
Simplifies professional subtitle creation, hardcoding, and AI-powered transcription using FFmpeg 7.1 and 8.0.
Enhances and transforms videos using advanced AI models for style transfer, upscaling, and object replacement.
Optimizes SQL Server database performance through expert index design, selection, and maintenance strategies.
Provides implementation patterns and guidance for the latest Azure DevOps features and security updates from Sprints 254-262.
Bridges Next.js applications with Modal.com for high-performance AI inference, GPU workloads, and heavy serverless compute.
Enables sophisticated automation hooks, multi-tier knowledge skills, and seamless MCP server integrations within the Claude Code environment.
Accelerates video encoding and decoding using hardware-specific GPU pipelines for NVIDIA, Intel, AMD, and Apple systems.
Implements professional video transitions and creative effects using the FFmpeg xfade filter system.
Provides expert FFmpeg guidance for deinterlacing, field processing, and telecine removal in professional video workflows.
Optimizes video encoding and provides platform-specific specifications for TikTok, YouTube Shorts, Instagram Reels, and other viral platforms.
Automates and optimizes FFmpeg-based video processing workflows across major CI/CD platforms like GitHub Actions, GitLab, and Jenkins.
Optimizes video content for maximum audience retention and viral potential using psychological triggers and proven hook frameworks.
Optimizes Git operations using cutting-edge 2025 features like reftables, partial clones, and sparse-checkouts for high-performance repository management.
Provides comprehensive documentation and implementation patterns for integrating fal.ai's generative AI models via JavaScript, Python, and REST APIs.
Enforces Azure Data Factory validation rules and provides architectural guidance for pipeline nesting, activity limits, and linked service configurations.
Generates professional video overlays, geometric shapes, and graphic elements using FFmpeg filters.
Streamlines computer vision development with expert patterns for image processing, video analysis, and deep learning inference using OpenCV.
Deploys custom machine learning models to fal.ai's serverless infrastructure with optimized GPU configurations and automatic scaling.
Generates professional cinematic videos from text descriptions using state-of-the-art models like Kling, Sora, and Runway.
Deploys and configures FFmpeg within Docker containers with full support for GPU acceleration, Kubernetes orchestration, and cross-platform path handling.
Builds high-performance, GPU-accelerated video processing workflows using FFmpeg, OpenCV, and serverless infrastructure.
Scroll for more results...