Skill UI

Implement robust, event-driven workflows for managing GPU resources on Vast.ai. Since native webhooks are unavailable, this skill uses Python polling to continuously monitor instance status changes (e.g., loading, running, exited). It enables complex automation tasks such as auto-recovering from spot preemption, handling lifecycle events, and tracking billing costs.

This comprehensive guide helps developers select and implement optimal Vercel architecture blueprints based on project scale and complexity. It covers five validated patterns, ranging from simple static JAMstack sites and robust full-stack SaaS applications, to advanced multi-zone micro-frontend enterprise deployments. Use this resource when planning new deployments, optimizing scaling strategies, or structuring complex monorepos.

A comprehensive guide for diagnosing and resolving common Vercel deployment errors across build, runtime, and edge network layers. Use this resource when encountering failed deployments, 500/504 errors, or issues with serverless functions. It provides detailed root cause analysis and step-by-step fixes using CLI commands and log inspection.

Configure Vercel's advanced role-based access control (RBAC) for enterprise environments. This guide covers setting up granular team roles, managing project-level access groups, integrating SAML SSO for secure authentication, and enabling detailed audit logging. Use this when implementing strict security protocols and enforcing the principle of least privilege across your team's deployments and resources.

A comprehensive guide for developing, optimizing, and standardizing skills for AI agents. This resource provides a decision tree for choosing the right architecture (Tier 1-3), incorporating best practices like CSO (LLM SEO) and Anti-Rationalization, and ensuring compliance through rigorous testing and checklists. Essential for robust AI system building.

Expert resource for designing, deploying, and optimizing serverless applications on the Cloudflare Edge Network. Covers advanced topics including Workers, KV, D1, Durable Objects, and R2 storage. Ideal for building high-performance, low-latency full-stack applications and implementing edge security features.

Provides production-ready bash templates for Linux admins to automate backups, monitor resources, manage users, and handle security tasks across servers and pen-testing setups.

Detects system CPU, GPU, memory, and disk availability before heavy scientific tasks, writing `.claude_resources.json` with strategic recommendations (parallelism, out-of-core, GPU acceleration) so analysts choose appropriate compute approaches.

Analyzes protein sequences to locate canonical N-glycosylation sequons, predict O-glycosylation hotspots, and mutate or design glycosylation sites for therapeutic proteins, vaccines, and biosimilar comparisons using curated glycoengineering resources.

Guidance for building infrastructure through the AWS Cloud Development Kit, helping developers define cloud resources in code and automate deployment workflows for CI/CD-friendly stacks.

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 guide provides a deep, investigation-driven methodology for reviewing Django and Django REST Framework (DRF) codebases. It helps identify critical authorization gaps, focusing on Insecure Direct Object References (IDOR) and object-level access failures. Learn how to trace data flows, analyze custom managers, and verify that users can only access resources they are explicitly authorized to view or modify.