Skill UI

Centralizes pipeline health checks, forecast accuracy tracking, and go-to-market efficiency measurement for SaaS revenue teams, generating text or JSON outputs via CLI scripts to monitor coverage, MAPE, GTM metrics, and risk flags before leadership reviews.

A comprehensive guide for optimizing costs when integrating the Speak API. This skill covers usage monitoring, selecting optimal API tiers, and implementing efficient audio processing pipelines. It is essential for developers managing language learning platform operations to ensure cost efficiency while maintaining high performance.

Provides production-ready Megatron-Core workflows for training 2B–462B parameter LLMs with tensor/pipeline/expert/context parallelism, maximizing GPU efficiency on H100 clusters.

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

A comprehensive guide for diagnosing and resolving common errors encountered when utilizing the Vast.ai platform. It provides quick references and fixes for HTTP status codes (e.g., 401, 429), instance lifecycle issues, CLI command failures, Docker image loading problems, SSH connectivity errors, and CUDA memory issues. Essential for maximizing GPU rental efficiency and debugging cloud instances.

A comprehensive guide to optimizing deep learning workflows and maximizing efficiency on cloud GPU platforms like Vast.ai. Learn techniques for selecting optimal instances by performance-per-dollar, reducing startup latency, tuning data pipelines (DataLoader, pin_memory), and scaling multi-GPU training using PyTorch and Bash scripting.

This skill provides comprehensive guidance on selecting the optimal workspace architecture for Windsurf, adapting to various project scales. Whether managing small solo projects, large monorepos, or complex multi-service, polyglot systems, it outlines strategies for structuring file systems and configuring rules. The goal is to ensure that AI tools receive accurate and focused project context, maximizing developer efficiency.

This skill facilitates the rapid and standardized onboarding of new projects onto the Windsurf platform. It optimizes the development environment by configuring the Cascade AI agent, establishing necessary project rules (.windsurfrules), setting team context defaults, and ensuring best practices for AI-assisted coding. Use this when initiating a new project or integrating a team to maximize AI efficiency.

A comprehensive guide for optimizing licensing costs associated with AI developer tools (like Windsurf). It provides structured methods for auditing seat utilization, matching feature tiers to specific team roles, calculating the ROI per seat, and implementing continuous usage monitoring to maximize cost efficiency and minimize wasteful spending.

This skill enables teams to create, manage, and organize custom prompt libraries for developer workflows within the Cascade environment. Users can build reusable prompt templates for common tasks, including code generation, code review, documentation, debugging, and general software development, ensuring consistency and boosting team efficiency.

This skill allows users to customize and optimize keyboard shortcuts within the Windsurf IDE, covering AI features, multi-file editing, and custom workflow bindings. It is used when setting up, reviewing, or adapting keybindings for maximum productivity and ergonomic efficiency.

This skill provides comprehensive license management for Windsurf enterprise deployments. It helps users track seat allocation, monitor usage, optimize subscriptions, and generate compliance reports, ensuring cost efficiency and adherence to licensing rules. Use it when managing enterprise licensing and optimizing resource costs.