Skill UI

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.

A comprehensive guide covering security best practices for integrating with the Apollo.io API. This includes secure key storage (using secret managers/env vars), implementing PII redaction for logging, adhering to the principle of least privilege (using standard vs. master keys), and performing key rotation procedures. Essential for building secure and compliant integrations.

This skill provides comprehensive methods for building event-driven integrations with Apollo.io. Since Apollo lacks native webhooks, it covers advanced techniques like polling the Contacts API, tracking contact stage changes, monitoring sequence engagement, and automating follow-up tasks. Ideal for achieving real-time CRM data synchronization and workflow automation.

This skill provides comprehensive methods for building event-driven integrations with Apollo.io. Since Apollo lacks native webhooks, it covers advanced techniques like polling the Contacts API, tracking contact stage changes, monitoring sequence engagement, and automating follow-up tasks. Ideal for achieving real-time CRM data synchronization and workflow automation.

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.

This skill provides comprehensive guidance on implementing high-performance, non-blocking applications in Python. It utilizes asyncio, async/await, and advanced concurrency patterns to handle I/O-bound workloads efficiently. Ideal for building async web APIs, real-time systems, and concurrent data processing.

This expert skill guides advanced integration with Atlassian products (Jira and Confluence) using the MCP protocol. It covers full lifecycle management, including setting up OAuth/API token authentication, designing complex JQL/CQL queries, automating sprint workflows, syncing documentation, and robust debugging of API calls. Ideal for system architects and developers building cohesive enterprise workflows.

This expert skill guides advanced integration with Atlassian products (Jira and Confluence) using the MCP protocol. It covers full lifecycle management, including setting up OAuth/API token authentication, designing complex JQL/CQL queries, automating sprint workflows, syncing documentation, and robust debugging of API calls. Ideal for system architects and developers building cohesive enterprise workflows.

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.

Prepares Claude with an ultra-granular, line-by-line code-analysis mode that maps invariants, assumptions, and flows before any vulnerability hunting, keeping context stable and reducing hallucinations during audits.