Skill UI

Implement robust, real-time financial workflows by utilizing webhooks from major financial providers. This skill connects services like Stripe (revenue), Gusto (payroll), Plaid (transactions), and Mercury, allowing developers to build automated processes for revenue tracking, payroll cost alerts, and expense monitoring within a unified system.

This skill demonstrates how to build a robust, event-driven indexing system for Glean. It processes real-time webhooks received from various source systems (like GitHub, Notion, Confluence), handling events such as document indexing, permission changes, and search anomalies. The solution includes critical components like signature verification and idempotent message handling to ensure data consistency and reliability.

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 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 the complete deployment process for a containerized MindTickle integration service. The service manages sales readiness courses, tracks learner progress across quizzes and certifications, and reliably synchronizes enablement data using the MindTickle API. It covers advanced topics including multi-stage Docker builds, robust health checks, rolling updates, and comprehensive error handling procedures for professional deployment.

A comprehensive, production-ready reference architecture for integrating with the Miro REST API v2. It implements modern layered design principles, managing OAuth 2.0 token lifecycles, processing webhooks, and providing robust services for board synchronization, item creation, and data caching. Ideal for building complex, scalable enterprise SaaS integrations.

Provides production-grade strategies for synchronizing Navan's BOOKING and TRANSACTION data into a data warehouse. This skill covers three sync tiers: weekly full-refresh with idempotent merge-upsert logic for BOOKING, watermark-based incremental sync for TRANSACTION, and real-time webhook handling for event-driven processing. Essential for building robust, scalable data pipelines using ETL patterns.

Provides advanced patterns for high-volume Notion API interactions. Learn how to manage rate limits (3 req/sec) using worker queues, implement parallel requests with p-queue, and efficiently paginate massive databases (100K+ records) using incremental sync and chunked processing. Essential for building robust, scalable Notion automation tools.

This skill provides a comprehensive Python guide to building a production-ready Virtual Cloud Network (VCN) on Oracle Cloud Infrastructure (OCI). It details the entire process from scratch, including creating the VCN, setting up Internet and NAT Gateways, configuring route tables, and defining Network Security Groups (NSGs). This is essential for engineers needing to provision complex, secure, and highly functional network architectures for development or production use.

This skill guides users on building robust, event-driven pipelines within Oracle Cloud Infrastructure (OCI). It covers setting up OCI Events rules to monitor resource state changes (Compute, Object Storage, Identity). Events can then be routed to Oracle Notification Service (ONS) topics for real-time alerting or directly to OCI Functions (serverless processing) for complex, automated actions.

Comprehensive guide for setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for Palantir Foundry integrations using GitHub Actions. This workflow covers running PySpark unit tests, performing SDK integration tests with mocked APIs, and implementing custom linting rules to enforce Foundry-specific best practices. Use this when ensuring code quality and validating complex business logic changes in an automated build process.

This guide provides a comprehensive workflow for building robust ETL data pipelines within Palantir Foundry. It teaches how to utilize Python transforms, including the @transform_df decorator, for dataset-to-dataset processing. Key topics covered include multi-input joins, implementing incremental updates for efficiency, low-level file I/O, and configuring Spark resources for heavy computations. Essential for data engineers working with complex data modeling in Foundry.