Skill UI

A comprehensive guide to production-ready patterns for the Intercom TypeScript SDK. Learn best practices for implementing type-safe client wrappers, handling cursor-based pagination, managing robust error states (including rate limiting), and implementing resilient retry logic with exponential backoff, ensuring stable and reliable API integrations.

This comprehensive guide outlines essential security best practices for integrating with Intercom. It covers secure token storage, robust webhook signature verification (X-Hub-Signature), implementing Identity Verification, and adhering to least-privilege OAuth scopes. Use this guide when building secure, production-ready applications that interact with Intercom APIs.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.

This guide provides a comprehensive strategy for configuring Klaviyo across development, staging, and production environments. It covers best practices for using separate API keys, implementing robust environment detection logic (like reading NODE_ENV), and utilizing secret management solutions (AWS/GCP/Vault). Crucially, it teaches how to implement 'guards' to prevent accidental real-world actions, such as sending live emails or deleting data, in non-production environments, ensuring data integrity and smooth CI/CD deployment.

This reference architecture provides a production-ready, layered structure for integrating external applications with Klaviyo. It outlines best practices for building robust marketing automation systems, including profile synchronization (bidirectional sync), event-driven webhook handlers, background job processing, and implementing middleware like rate limiters. Use this when designing new data pipelines, reviewing project structure, or establishing standardized data synchronization standards for email/SMS campaigns.

A comprehensive guide to implementing production-ready patterns for interacting with the Klaviyo API via the Node.js SDK. This includes best practices for handling singleton sessions, creating type-safe API wrappers, implementing robust retry logic for rate limits, managing cursor-based pagination, and supporting multi-tenant environments. This ensures reliable and maintainable Klaviyo integrations.

A comprehensive guide detailing security best practices for integrating with Klaviyo. Learn how to manage private and public API keys, implement least-privilege scoping for different environments (Dev, Staging, Prod), and critically, how to verify webhook payloads using HMAC-SHA256 signatures. This guide is essential for developers building robust and secure marketing automation pipelines.

This comprehensive guide assists developers in upgrading the klaviyo-api SDK and migrating code between different API revisions (v1/v2 to current REST API). It covers best practices for handling breaking changes, such as switching from ConfigWrapper to ApiKeySession patterns, adjusting property casing (snake_case to camelCase), and updating response access patterns to ensure robust and compliant Klaviyo integrations.

Master the complexities of building robust Retrieval Augmented Generation (RAG) pipelines using LangChain. This guide addresses common pitfalls in vector search, such as score semantics differences (L2 vs. Cosine), embedding dimension mismatches, and chunking issues for code/Markdown. Learn best practices for selecting between FAISS, Pinecone, Chroma, and PGVector, normalizing scores, and implementing hybrid keyword+vector search for maximum retrieval quality.

This skill provides a comprehensive guide to building robust LangGraph 1.0 StateGraphs in Python. It covers defining typed TypedDict states with reducers, writing deterministic nodes, and defensively wiring conditional edges. It addresses common pitfalls such as silent graph termination, incorrect state updates using reducers, proper management of recursion limits, and handling evolving checkpoint schemas for reliable LLM workflow orchestration.

A comprehensive guide to ensuring robust state management for LangGraph agents. This skill addresses common checkpointing pitfalls (like missing thread_id or non-JSON serializable state) and details best practices for implementing reliable state persistence using MemorySaver or PostgresSaver. It covers thread discipline, schema migration, and time-travel debugging for production-ready applications.

A comprehensive guide to advanced, production-ready LLM inference using LangChain 1.0. This skill addresses common pitfalls and bugs when integrating multiple providers (Claude, GPT-4o, Gemini), covering issues like structured output reliability, correct streaming token accounting, and robust handling of complex AIMessage content blocks. It teaches best practices for model initialization, provider routing, and version-safe code implementation.