Skill UI

This skill provides robust guidelines and patterns for managing environment variables and sensitive credentials securely. It is designed to ensure that secrets, API keys, and other confidential information are never accidentally exposed or logged in Claude sessions, terminal outputs, development logs, or version control commits (like Git). Use this skill when handling sensitive data in development workflows to maintain maximum security.

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.

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) and financial governance for cloud GPU environments. It allows organizations to allocate resources, set team-specific budgets, whitelist approved GPUs, and track spending via detailed audit logs. Ideal for multi-team research and engineering environments requiring strict cost accountability and access separation.

A comprehensive guide for developers on handling sensitive data and ensuring compliance with major privacy regulations like GDPR and CCPA when deploying serverless functions on Vercel. Learn techniques for PII redaction in logs, implementing data subject rights (Right to Access/Erasure), securing session cookies, and configuring data residency to meet global privacy standards.

This script automates the collection of comprehensive diagnostic evidence for Vercel deployments. It gathers critical information including deployment state, recent function logs, environment variables, build outputs, and system details into a single compressed bundle. It is essential for preparing detailed support tickets or performing deep-dive troubleshooting when encountering persistent Vercel issues.

This comprehensive guide catalogs common anti-patterns and mistakes when deploying applications on Vercel. It covers critical architectural areas such as secret management (preventing key exposure), optimizing serverless function performance (cold start, timeouts), adhering to Edge Runtime standards, and resolving configuration errors. Use this skill for code reviews, security audits, and onboarding new developers to ensure best deployment practices.

This guide provides a comprehensive setup for Vercel observability. It covers enabling built-in analytics, collecting detailed runtime logs, implementing structured logging, configuring external log drains (e.g., Datadog, Sentry), and integrating OpenTelemetry tracing. Use this when monitoring production deployments and setting up robust error tracking.

This skill automatically generates structured and user-friendly changelogs by analyzing the complete git commit history. It groups commits by time period (daily/weekly) and classifies changes into key categories (Features, Fixes, Docs, etc.), providing a concise summary of recent development activity for end-users. Ideal for answering 'what changed recently' or summarizing project updates.

This comprehensive bundle collects all necessary diagnostic information for troubleshooting and creating support tickets for Windsurf. It gathers environment details, redacted configuration files, activity logs, and workspace health into a single, compressed archive. Use this tool when encountering persistent bugs or when technical support requires deep system analysis.

This skill automates the entire software release workflow within Windsurf. It analyzes commit history based on conventional commits to determine the correct semantic version bump (major, minor, or patch). It then automatically generates comprehensive changelogs, manages Git tags, updates version files, and publishes the final release package to a registry. It is essential for teams implementing robust CI/CD practices.

This skill acts as a Senior Solutions Architect and Tech Consultant for AI projects. It diagnoses a workspace—determining if it is a pure new project or an evolving system. It analyzes the existing stack and pain points to chart the optimal technical roadmap, generating detailed backlogs and implementation plans to ensure scalable, high-quality development.

Medchem Filtering Toolkit is a Python library offering drug-likeness heuristics, structural alert and PAINS filters, group detection, catalogs, and complexity scoring to triage compound libraries and prioritize leads in drug discovery workflows.