Skill UI

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.

A comprehensive guide to setting up and processing Klaviyo webhooks. This skill covers creating webhook subscriptions via the API, implementing crucial HMAC-SHA256 signature verification for security, and building a robust event handler. Learn how to manage different topic types (e.g., profile updates, list changes) and ensure idempotency, making your application reliable for event-driven marketing integrations.

This guide details how to manage various types of sensitive credentials within KubeSphere DevOps. It covers setting up SSH keys, basic authentication pairs, API tokens, and kubeconfigs. These secrets are stored as specialized Kubernetes Secrets and synchronized with CI/CD tools like Jenkins, enabling secure connectivity for Git repositories, external services, and cluster deployments.

This guide provides advanced patterns for composing robust, multi-step Large Language Model (LLM) workflows using LangChain 1.0 core runnables. Learn to implement parallel retrievals (RunnableParallel), conditional routing (RunnableBranch), and state management. It also addresses common pitfalls like silent KeyErrors due to mismatched dictionary shapes, providing solutions using debug probes and type annotations for reliable RAG, classification, and extraction pipelines.

This guide teaches how to build robust, production-grade ReAct agents using LangGraph 1.0's `create_react_agent`. It specifically addresses common agent failure modes, such as preventing infinite loops (recursion caps) and ensuring proper error propagation. Learn to define typed tools using Pydantic, manage state with checkpointers, and set precise recursion limits. Perfect for users migrating from legacy AgentExecutor or building reliable, multi-step tool-calling workflows.

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.

This comprehensive guide details common errors encountered when integrating with the Linktree API. It covers various HTTP status codes, such as 400 (Invalid URL), 401 (Authentication Failed), and 429 (Rate Limit). The document provides specific causes (e.g., expired keys, malformed data, plan restrictions) and actionable fixes, helping developers build stable and reliable link-in-bio services.

This skill provides programmatic access to manage the entire lifecycle of a Linktree profile and its associated links via the REST API. Users can retrieve profile metadata, create new links (with positioning and thumbnails), update link properties, and list all links. It is ideal for building integrations that automate content management, such as syncing product launches, rotating seasonal promotions, or bulk-importing link data from external sources.

This skill provides a comprehensive, containerized integration service for Linktree. It details how to synchronize profile data, manage link collections, and handle appearance customizations using the Linktree API. The guide covers best practices for Docker multi-stage builds, environment variable configuration, robust health checks, and zero-downtime rolling deployment strategies for reliable link management.

Provides a local development workflow for integrating with the Linktree link-in-bio API. This tool allows developers to build and rapidly iterate on social management tools by mocking API responses for profile data and analytics. Users can toggle between mock mode for quick UI prototyping and live mode for validating profile updates against the real Linktree platform, ensuring a robust and efficient development cycle.