Skill UI

This comprehensive guide serves as a quick reference for diagnosing and fixing common Klaviyo API errors and SDK exceptions. It provides detailed root causes and solutions for standard HTTP status codes (400, 401, 403, 429, etc.) and common coding pitfalls. Ideal for developers integrating Klaviyo into their applications.

A comprehensive index of 46 production-grade test automation skills, covering E2E, unit, mobile, BDD, and cloud testing across 15+ languages. This skill equips AI coding assistants to act as senior QA architects, generating structured, real-world test code for major frameworks like Playwright, Selenium, Cypress, and Jest. It supports project setup, CI/CD integration, and cross-platform debugging.

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.

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 comprehensive debug bundle collects all necessary diagnostic evidence from Lucidchart's API integrations. It systematically checks document access, data linking integrity, shape rendering, and export status by capturing API responses, page metadata, and rate limit information. It is essential for support engineers diagnosing complex integration failures without needing direct account access.

This utility provides a local, mock development loop for integrating and testing the Lucidchart diagramming API. It simulates document, page, and shape data, allowing developers to build and validate diagram automation tools (CRUD operations) without needing a live Lucid account. This enables fast iteration and robust debugging in a controlled sandbox environment.

Provides comprehensive observability for Miro REST API v2 integrations. It captures critical metrics using Prometheus (request rates, latency, error tracking) and OpenTelemetry traces for end-to-end request flow visibility. Includes structured logging for detailed debugging and robust rate limit management, ensuring your applications are highly reliable and maintainable.

Use this comprehensive bundle to systematically collect diagnostic data from Navan API integrations. It captures critical information including OAuth token details, full API request/response payloads, network connectivity metrics, and local environment state. This tool is essential for developers and integrators needing to perform deep troubleshooting and pinpoint complex API failures.

This comprehensive guide establishes a structured local development environment for integrating with the Navan API. Since Navan does not provide a sandbox, this workflow is crucial for minimizing calls to the production API. It implements token caching to persist access tokens, detailed request logging for debugging, and mock fixtures to allow for reliable, safe offline testing during the development cycle.

Provides advanced debugging techniques for Notion API issues that standard troubleshooting cannot resolve. It covers response ID inspection, tracing complex permission chains, detecting property type mismatches, managing pagination edge cases, and resolving block nesting limits across Notion databases and pages. Essential for robust integration development.