Skill UI

A comprehensive guide for deploying Apollo.io integrations to production environments. This skill covers robust deployment strategies across multiple cloud platforms, including Vercel, GCP Cloud Run, and Kubernetes. It emphasizes best practices such as implementing health check endpoints, managing secrets using dedicated secret managers, and structuring CI/CD pipelines for reliable, scalable, and secure production rollouts.

A structured runbook for handling Apollo.io API outages and production failures. It guides users through severity classification (P1-P4), quick diagnosis scripting, implementing circuit breakers, and graceful degradation strategies to maintain service availability during incidents.

A comprehensive pattern for configuring API clients across multiple operational environments (development, staging, production). This skill uses TypeScript schemas and factory patterns to ensure environment isolation, manage distinct credentials, enforce rate limiting, and implement feature gating. It is essential for building robust, scalable SaaS applications that interact with external services like Apollo.io.

This module provides production-ready TypeScript patterns for interacting with the Apollo.io REST API. It implements critical best practices including type-safe client setup (using Zod), custom error handling, exponential backoff retry logic, asynchronous pagination, and rate-aware bulk processing. Use this when building reliable, scalable, and robust integrations with Apollo data.

This comprehensive skill guides the systematic optimization of end-to-end application performance across the entire stack. It covers establishing performance baselines through deep profiling (CPU, Memory, I/O), assessing observability gaps, optimizing databases, tuning backend services and APIs, and enhancing frontend rendering. Ideal for complex, scalable applications that require measurable performance improvements, reliability enhancements, and adherence to modern user experience standards.

This comprehensive skill guides the systematic optimization of end-to-end application performance across the entire stack. It covers establishing performance baselines through deep profiling (CPU, Memory, I/O), assessing observability gaps, optimizing databases, tuning backend services and APIs, and enhancing frontend rendering. Ideal for complex, scalable applications that require measurable performance improvements, reliability enhancements, and adherence to modern user experience standards.

A master-level architect specializing in reviewing and guiding complex, modern distributed systems. This skill excels at evaluating adherence to patterns like Clean Architecture, DDD, and Microservices. Use it when assessing scalability, resilience, security posture, and maintainability across major design changes, ensuring the resulting system is robust and future-proof.

This skill simulates a Principal Software Architect, specializing in designing, reviewing, and documenting high-level system architectures. It guides users through defining core system structures, evaluating complex technology trade-offs (e.g., ACID vs. eventual consistency), and planning for extreme scalability. Key outputs include comprehensive architecture diagrams (Mermaid) and formal Architecture Decision Records (ADRs), ensuring every major technical choice is documented with rationale and consequences.

This skill provides expertise in proven backend architectural patterns, including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design (DDD). It guides users in building highly maintainable, testable, and scalable systems. Use it when designing new services, refactoring complex monoliths, establishing team standards, or planning microservice decompositions. It emphasizes defining clear boundaries and handling complex, durable workflows.

This skill provides expertise in proven backend architectural patterns, including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design (DDD). It guides users in building highly maintainable, testable, and scalable systems. Use it when designing new services, refactoring complex monoliths, establishing team standards, or planning microservice decompositions. It emphasizes defining clear boundaries and handling complex, durable workflows.

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.

AudioCraft is Meta’s PyTorch toolkit for text-to-music and text-to-sound creation via MusicGen, AudioGen and EnCodec, making it ideal for prototyping music apps, effects, and controllable stereo pieces.