Skill UI

This comprehensive guide covers the installation and authentication setup for the HubSpot API client SDK. It provides detailed instructions for both Private App Access Tokens and the full OAuth 2.0 flow. Use this skill when developing integrations that require secure access to HubSpot CRM data, such as contacts, companies, and deals.

A comprehensive guide for developers to set up and authenticate with the Intercom API. It covers installing the official `intercom-client` SDK and configuring secure credentials using both private Access Tokens and robust OAuth flows, enabling seamless integration into modern applications.

This skill guides you through installing and setting up the official Klaviyo SDK for both Node.js and Python. It covers essential steps including authenticating with a private API key, managing environment variables for secure credential storage, and initializing resource-specific API clients (e.g., Profiles, Events). Use this when building integrations that require programmatic access to Klaviyo's marketing data, such as tracking user events or managing contact profiles.

This comprehensive skill guides users through the entire Fluid storage extension lifecycle within KubeSphere. It allows for installing, upgrading, and uninstalling the Fluid extension, and managing various data resources. Users can generate YAML manifests for Datasets and specialized runtimes (Alluxio, JuiceFS, Thin), perform data loading/cache warming, scale operations, and troubleshoot issues using both kubectl and KubeSphere APIs.

A comprehensive guide for managing the full lifecycle of OpenKruise within the KubeSphere platform. This skill assists users with installation, upgrading, querying status (CRDs, Pods, logs), generating manifests for advanced workloads (SidecarSet, CloneSet), performing rollouts, and troubleshooting complex runtime issues like webhooks or missing configurations, utilizing both kubectl and KubeSphere APIs.

A comprehensive CI pipeline solution for validating MindTickle sales enablement API integrations. This tool implements a two-tier testing strategy: unit tests use mocking to verify logic without API calls, while integration tests run against the live MindTickle API on main branch merges, securely requiring both an API Key and Company ID. It ensures robustness, manages API rate limits, and provides detailed error handling guidelines for developers.

This guide provides comprehensive, step-by-step instructions for installing and securely configuring the MindTickle SDK and API credentials. It covers prerequisites, environment variable setup, and includes verification snippets for both Node.js/TypeScript and Python environments. Use this when initiating a new MindTickle system integration or developing an application that requires API access to sales, training, or performance data.

This guide provides advanced techniques to optimize integration performance with the MindTickle API. It addresses common enterprise bottlenecks such as slow learner progress queries, rate limit errors, and high-volume webhook backpressure. Techniques covered include implementing Redis caching, using offset-based pagination for bulk data retrieval, managing concurrent requests with connection pooling, and applying exponential backoff for robust rate limit handling.

A comprehensive guide providing production-ready, structured patterns for interacting with the Miro API. It covers best practices for both the high-level stateful client usage and the low-level REST API v2. Includes patterns for implementing robust Board Services (fetching, pagination) and Item Factories (creating various elements like sticky notes, shapes, and cards). Essential for developers building SaaS applications or complex automation workflows using Miro.

This skill provides comprehensive patterns for extracting and transforming Navan booking and transaction data. It addresses complex data pipeline challenges such as API pagination, date range chunking, and UUID-based deduplication. It supports both direct REST API implementation (via code examples) and configuration for managed connectors like Fivetran and Airbyte. Ideal for populating data warehouses, building robust analytics dashboards, or ensuring data quality from Navan sources.

This comprehensive guide details how to set up OAuth 2.0 client credentials for the Navan REST API. It provides complete, runnable code examples in both TypeScript (Node.js) and Python. Users can follow these steps to exchange client secrets for a secure bearer token, enabling programmatic access to Navan's booking and travel data. This is essential for configuring new Navan integrations or rotating API credentials.

This skill provides advanced architectural patterns for optimizing high-volume integrations with the Navan API. It addresses common bottlenecks like rate limiting, sequential calls, and naive pagination by implementing robust solutions such as data-type-specific response caching, controlled parallel fetching with concurrency throttling, efficient cursor-based pagination, and HTTP connection reuse. Use this when building scalable, reliable, and high-throughput systems.