Skill UI

Audit authorized codebases for exploitable vulnerabilities using scoped reconnaissance, adversarial review, validation, and structured reporting. Use for security reviews, pen-testing, and vulnerability hunting in web apps, APIs, services, CLI tools, libraries, and daemons.

Learn to build and deploy edge functions using Cloudflare Workers and Wrangler CLI. This skill covers creating lightweight APIs, microservices, and middleware for origin servers. It includes setting up cron jobs, managing KV storage, and deploying to the global edge network with sub-millisecond latency. Ideal for developers needing scalable serverless solutions.

Provision headless backend services for AI agents through Cohesivity: managed hosting, databases, storage, LLM access, auth, and third-party APIs via one HTTP API. Use for bootstrapping or extending app backends with explicit user consent.

A robust, production-grade REST API gateway designed to wrap ComfyUI servers. It provides comprehensive features including workflow templating, job queuing (with priorities), webhooks, result caching, authentication, and rate limiting. It transforms ComfyUI into a universal, scalable, and secure service for automated image generation pipelines.

Audit whether a field, enum, flag, or API contract propagates consistently across storage, services, clients, analytics, and tests. Use before release to ensure changes are complete and compatible.

This skill enables you to act as an elite AI-powered customer support specialist. It covers conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. You will master best practices for customer experience optimization, knowledge management, and analytics. Ideal for improving satisfaction scores, reducing resolution times, and driving loyalty through intelligent automation and personalized service across various channels.

A framework for building production-ready, low-latency, multimodal AI agents. It allows developers to orchestrate complex pipelines that seamlessly handle real-time audio, video, and text data. Key capabilities include integrating multiple AI services (LLMs, STT, TTS), managing conversation context, and enabling tool use and function calling for advanced, interactive AI applications.

This skill guides the definition of relationships and integration contracts between distinct bounded contexts within a complex system using Domain-Driven Design (DDD) patterns. It is crucial for preventing domain leakage, planning anti-corruption layers (ACLs), and clarifying ownership boundaries when multiple services interact, ensuring a robust and scalable system architecture.

This skill guides the architectural definition of complex business domains using Domain-Driven Design (DDD). It helps in defining core subdomains, separating services by bounded contexts, and establishing a unified ubiquitous language. It is essential for decomposing monoliths, structuring microservices, and aligning team ownership with clear domain boundaries.

Analyze internal and package dependencies using Ontoly graph traversal, identifying dependents, cycles, and graph statistics. Use when asked about module, package, service, or file dependency relationships.

Set up comprehensive debugging environments, distributed tracing, and diagnostic tools for development and production. Configure tracing, logging standards, and troubleshooting workflows to diagnose multi-service issues efficiently.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices. Configure OpenTelemetry SDK and exporters to diagnose latency and errors. Ensure secure context propagation without logging sensitive data. Verify trace spans and sampling strategies for production observability.