Skill UI

Build enterprise-grade NestJS REST or GraphQL modules, controllers, services, guards, interceptors, and tests with DI, validation, Swagger, and authentication flows.

Automates Oracle NetSuite ERP operations—creating customers and sales orders, running SuiteQL, upserting by external IDs, and inspecting record metadata—to streamline financial and fulfillment workflows through the Rube MCP toolkit.

Guides users through advanced network security scanning tasks by offering best-practice workflows, code/config generation, and validation for compliance, penetration testing, and enterprise security scenarios.

Guides researchers through nnsight’s tracing and activation APIs so you can inspect or modify PyTorch internals locally or via NDIF-powered remote runs on 70B+ foundation models without local GPUs.

Expert skill in designing and implementing comprehensive observability stacks for enterprise microservices. Covers advanced monitoring (Prometheus, Grafana), distributed tracing (Jaeger, OpenTelemetry), centralized logging (ELK, Splunk), and defining SLIs/SLOs. Ideal for ensuring high availability, mastering incident response, and performing reliability engineering on large-scale, distributed applications.

Implements advanced Role-Based Access Control (RBAC) for collaborative Obsidian workspaces. This system allows administrators to define granular permissions (read, write, delete, manage) for different user roles (Admin, Editor, Viewer) across specific folders or paths within a shared vault. It is achieved via a custom plugin that intercepts file operations, ensuring data integrity and proper collaboration control in enterprise team environments. Ideal for managing large, secure knowledge bases.

Automated guidance for enterprise OKR tracker creation; activates whenever workflows mention OKR tracker creator, offering governance, compliance, integration, and project-management best practices plus production-ready configurations and validations.

This system implements Role-Based Access Control (RBAC) for OpenEvidence, an AI-powered clinical decision support platform. It strictly manages access to sensitive data, including PHI-adjacent datasets and medical literature, ensuring compliance with regulations like HIPAA. The system defines distinct roles—Admin, Clinician, Researcher, Student, and Auditor—with granular permissions for querying, data export, and institutional configuration, maintaining a secure and auditable data environment.

Automates Openperplex operations by orchestrating Rube MCP calls via Composio, covering discovery, connection validation, tool execution, and schema-aware workflows.

This skill provides comprehensive reference architectures for building production-grade AI applications using OpenRouter as a unified LLM gateway. It covers three scaling patterns: simple single-service, standard microservice (with caching and budget enforcement), and enterprise event-driven systems (with message queues and workers). Use this when planning system design, reviewing complex AI pipelines, or ensuring scalability and cost control in your LLM integration.

Provides comprehensive patterns for creating production-grade client wrappers when integrating with OpenRouter via the OpenAI SDK. This skill covers handling advanced topics such as robust retry mechanisms, structured typing, caching strategies, and middleware implementation. It is essential for developers building stable, reliable SDKs or commercial client libraries that require enterprise-level API robustness.

Auto-activating ML training skill that kicks in whenever you mention optuna study creator, then guides you through data prep, model training, hyperparameter tuning, and experiment tracking with production-ready code and validations.