Skill UI

Inspect Vertex AI Agent Engine deployments end-to-end, validate sandboxing, memory bank, A2A compliance, security posture, and monitoring, then emit weighted production-readiness scores with remediation guidance.

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

AI-assisted creation and maintenance of GitHub Actions workflows within the Windsurf IDE, covering requirements analysis, workflow generation, secrets configuration, testing, deployment, and monitoring for consistent CI/CD automation.

Configure Windsurf code privacy settings, covering data transmission controls, retention policies, regional compliance, and exclusion patterns for enterprise deployments and GDPR-era governance.

Guides Windsurf Enterprise teams through preparing identity providers, configuring SAML/OIDC, managing certificates and policies, and validating the setup so enterprise deployments get secure, audited single sign-on.

Guides running the Windsurf production deployment checklist, covering pre-flight configuration, code quality gates, infrastructure hygiene, documentation, gradual rollout, and rollback commands so ops teams can safely validate and release Windsurf integrations.

Use AgentFolio to discover, compare, and research autonomous AI agents, frameworks, and tools before building or integrating your own. The directory helps you map capabilities, autonomy models, and deployment patterns while collecting concrete examples for positioning workflows or vendor evaluations.

Guides users through the AionUi Settings interface to enable WebUI, open remote access via LAN, Tailscale, or server deployment, fetch access credentials, and troubleshoot service issues without using the command line.

Audits GitHub Actions workflows that invoke AI coding agents to surface prompt injection and sandbox risks, tracing attacker-controlled inputs through env vars, reusable actions, and workflow references before deployment or code review.

PufferLib is a high-performance library designed for advanced reinforcement learning simulations and training. It excels in parallel environment simulation, offering optimized vectorization and native support for multi-agent systems. Utilizing algorithms like PuffeRL (optimized PPO+LSTM), it achieves millions of steps per second, significantly accelerating research and deployment across single-agent and multi-agent environments.

SimPy is a Python-based discrete-event simulation framework for modeling queues, resource contention, process-driven workflows, and system interactions across manufacturing, logistics, service operations, and network scenarios before deployment.

Guides building and scaling Convex backends with TypeScript schemas, queries, mutations, real-time subscriptions, auth, file storage, scheduling, and deployment across React, Next.js, Angular, Vue, Svelte, and RN.