Skill UI

Automates guidance for caching API responses within integrations, offering best-practice patterns, webhook and SDK support, and production-ready validation when users ask about api response cacher.

Auto-activating assistant that guides engineers through API test generation, offering best-practice patterns, framework configuration, and production-ready code for unit, integration, and mocking scenarios within Test Automation.

Auto-activating assistant that guides engineers through API test generation, offering best-practice patterns, framework configuration, and production-ready code for unit, integration, and mocking scenarios within Test Automation.

Auto-activating Api Testing Helper that guides API development workflows, offers best-practice advice, generates production-ready configurations, and validates testing outputs for REST, GraphQL, OpenAPI, and authentication scenarios.

Auto-activating Api Testing Helper that guides API development workflows, offers best-practice advice, generates production-ready configurations, and validates testing outputs for REST, GraphQL, OpenAPI, and authentication scenarios.

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 comprehensive tool provides an automated, multi-stage checklist for deploying Apollo.io integrations to a production environment. It validates crucial aspects including secure authentication (API keys, headers), system resilience (rate limiting, retry logic), observability (PII redaction, structured logging), and financial controls (credit tracking). Use this checklist before going live or when performing production system audits to ensure full compliance and stability.

A comprehensive, production-grade reference architecture for integrating with Apollo.io. It details a layered design encompassing API services, business logic, background job processing (e.g., lead enrichment), and data modeling, enabling the building of robust sales intelligence and CRM synchronization systems.

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.

Argocd App Deployer is an auto-activating assistant for advanced DevOps operators working with Argo CD deployments. Mention “argocd app deployer” or request deployment best practices to get step-by-step recommendations, production-ready configs, validation, and guidance spanning Kubernetes, Terraform, Helm, monitoring, and IaC patterns.

Argocd App Deployer is an auto-activating assistant for advanced DevOps operators working with Argo CD deployments. Mention “argocd app deployer” or request deployment best practices to get step-by-step recommendations, production-ready configs, validation, and guidance spanning Kubernetes, Terraform, Helm, monitoring, and IaC patterns.

Automates aria attribute helper support for frontend development requests by offering guidance, best practices, production-ready code/configuration, and validation whenever aria attribute helper topics or patterns are mentioned.