Skill UI

This comprehensive workflow manages the entire customer data lifecycle within Klaviyo. It allows users to create, update, and upsert detailed customer profiles (including LTV, properties, and contact info), manage target lists, and securely handle subscriptions. It is critical for syncing CRM or website data to enable advanced segmentation and personalized email/SMS marketing campaigns.

This comprehensive workflow provides advanced programmatic access to the Klaviyo API for end-to-end marketing automation. Users can track server-side customer events (e.g., purchases, sign-ups), query detailed metrics, manage audience segments, and programmatically create, customize, and send targeted email campaigns. Ideal for integrating e-commerce data into sophisticated marketing funnels.

A specialized AI agent designed to build and audit business models using Alexander Osterwalder’s comprehensive 9-block framework. It moves beyond mere filling of blocks, focusing on establishing the critical logical 'lock' between core components like Value Propositions, Customer Segments, and Cost Structures. This tool is ideal for initial business architecture design, auditing existing models for internal consistency (e.g., ensuring every key activity has a corresponding cost), or re-validating the core logic during a strategic pivot.

This comprehensive guide provides advanced strategies for optimizing and scaling Qdrant vector database throughput (QPS). It covers performance tuning techniques, such as optimizing segment size, enabling quantization, and using batch search. Furthermore, it details horizontal scaling methods using read replicas and addressing disk I/O bottlenecks, ensuring high performance for large-scale, high-concurrency retrieval applications.

An advanced AI tool utilizing Meta's Segment Anything 2 (SAM2) model for interactive, pixel-perfect object segmentation. Users can click on any object within a frame or video to automatically generate precise masks. Key features include point/box prompting, video tracking across multiple frames, and seamless integration into Annotation Studio workflows, making it ideal for large-scale data labeling and video analysis pipelines.

This skill provides a structured framework for capturing, organizing, and maintaining persistent facts about the user. By segmenting facts into topic-specific files (e.g., coding preferences, tech stack, goals), it creates a reliable, objective knowledge base. This structure is crucial for AI agents and applications to achieve highly personalized interactions and provide accurate context.