Skill UI

Collects comprehensive diagnostic evidence for troubleshooting Vast.ai GPU instances. This bundle gathers account status, lists all running instances, retrieves recent logs, performs remote GPU diagnostics (e.g., nvidia-smi, CUDA checks), and verifies API connectivity. It is essential for creating detailed support tickets when encountering persistent infrastructure issues.

Automates Vault Secrets Integrator guidance for DevOps Advanced tasks, covering kubernetes, terraform, CI/CD, monitoring, and infrastructure as code best practices to deliver validated configs and code.

Provides a comprehensive, production-ready reference architecture for building complex applications on Vercel using Next.js and TypeScript. It covers modern best practices, including layered directory structure, secure typed environment variable management (Zod), lazy database singleton implementation, API route patterns, and essential Edge Middleware for authentication and routing. Use this guide when starting a new Vercel project or standardizing existing application infrastructure.

Specializes in provisioning Vertex AI infrastructure with Terraform, covering Model Garden, Gemini endpoints, vector search indexes, ML pipelines, and enterprise-grade production deployments.

A comprehensive guide for deploying and optimizing the Windsurf AI IDE across large, complex organizations (50+ developers). Covers critical enterprise topics including monorepo partitioning strategies, managing workspace performance degradation, central configuration distribution, credit budgeting models, and necessary network/IT infrastructure whitelisting for seamless large-scale adoption.

Automated guidance for YAML configuration validation tasks within the DevOps Basics domain, covering version control, containers, CI/CD, and infrastructure fundamentals while producing production-ready code and configurations.

AgentMail provides a comprehensive REST API email infrastructure specifically designed for AI agents. Agents can provision dedicated inboxes, send and receive emails, handle external service verifications (e.g., GitHub signups), and manage real-time inbound webhooks. The system includes a 'karma' mechanism to ensure high domain reputation and prevent abuse, making it reliable for complex automation workflows.

A comprehensive technical reference for implementing advanced Lightning Network channel factories. It covers complex topics such as multi-party channels, Layer 2 scaling on Bitcoin, and advanced protocols including Decker-Wattenhofer invalidation trees, MuSig2 key aggregation, and encrypted Noise NK transport. Essential for developers building highly scalable and secure Bitcoin infrastructure.

Comprehensive guide and expert assistance for building, refactoring, and validating AWS cloud infrastructure using the AWS Cloud Development Kit (CDK). Covers best practices for TypeScript and Python, including resource naming conventions, Lambda function development, and multi-layer pre-deployment validation using tools like cdk-nag.

Provides a concise reference for shared AWS concepts so teams can standardize commonly used cloud resources, practices, and patterns when building or maintaining infrastructure-heavy projects.

This infrastructure provides a robust solution for running powerful AI agents in remote, sandboxed environments. It overcomes the limitations of local execution by ensuring unlimited concurrency, consistent environments, and collaborative features. Use this to build complex background coding agents, multi-client interfaces (e.g., Slack, Web), or scale agent workloads far beyond local machine constraints.

A comprehensive skill for fine-tuning and training large language and vision models using advanced techniques like TRL (SFT, DPO, GRPO) or Unsloth. This process runs entirely on managed Hugging Face cloud GPUs, eliminating the need for local GPU setup. It supports modern training workflows, model conversion (GGUF for local deployment), and ensures seamless artifact storage to the Hugging Face Hub.