Skill UI

This guide provides comprehensive instructions for deploying applications integrated with BambooHR to various modern cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers crucial steps such as setting up platform-specific secrets, configuring webhooks, establishing health check endpoints, and optimizing the entire deployment pipeline for robust, production-grade reliability.

This skill provides a comprehensive guide to implementing and managing BambooHR webhooks. It covers both global and permissioned webhook types, detailing the process from API setup to robust payload handling. Key security aspects include HMAC-SHA256 signature validation for ensuring data integrity and authenticity. Ideal for developers needing to build real-time employee synchronization triggers, process employee creation, updates, or deletions, and integrate BambooHR data into other enterprise systems.

This technical guide provides patterns for handling rate limits, throttling, and concurrency issues when scraping data using Bright Data services. It demonstrates implementing concurrency control using queuing, applying exponential backoff for transient errors (like 429 or 503), and managing specific API trigger rate limits (e.g., 20/min, 60/hr). Essential for building robust, large-scale web scrapers.

This guide provides comprehensive, platform-specific instructions for deploying Canva Connect API integrations. It covers setting up credentials and secrets on Vercel, Fly.io, and Google Cloud Run, ensuring secure OAuth token exchange and establishing robust deployment pipelines for production environments.

This workflow guides users through configuring CAST AI's autoscaler policies to achieve optimal cost management and resource utilization within a Kubernetes cluster. It covers enabling spot instances, setting node downscaler/evictor rules, defining cluster limits, and creating specialized node templates (e.g., for GPU or spot workers) using Terraform. Use this when implementing Phase 2 automation or optimizing cloud spend.

This guide provides essential best practices for building resilient applications that interact with rate-limited APIs, specifically addressing the CAST AI REST API. It details the implementation of exponential backoff with jitter and utilizing request queuing mechanisms (like p-queue) to gracefully handle HTTP 429 errors. Use this pattern to optimize API call patterns and ensure system stability when making batch or frequent requests.

A comprehensive guide detailing 10 common mistakes and best practices when integrating with the Anthropic API (Claude). It covers critical technical aspects such as correctly setting `max_tokens`, using the top-level `system` parameter, managing message alternation, checking `stop_reason`, and optimizing client initialization for robust AI application development.

Provides best practices for configuring Large Language Model (LLM) access, specifically for Anthropic Claude, across development, staging, and production environments. This guide details setting up separate API keys, selecting appropriate models (e.g., Haiku, Sonnet, Opus), and managing unique rate limits for robust, scalable, and secure LLM integration in enterprise systems.

A comprehensive guide and code pattern for configuring ClickHouse instances across development, staging, and production environments. It emphasizes best practices for infrastructure-as-code (IaC), secure secrets management (integrating AWS Secrets Manager, Vault, etc.), and ensuring environment-specific settings are correctly applied for reliable data analytics pipelines.

This comprehensive guide serves as a reference for diagnosing and resolving common errors when interacting with the ClickUp API v2. It covers critical HTTP status codes (400, 401, 403, 404, 429, 500) and specific OAuth error codes (ECODEs). Use this resource when debugging failed API requests, troubleshooting authentication issues, or implementing robust error handling logic in your application.

A comprehensive runbook for managing ClickUp API v2 integration failures and outages. It guides users through rapid incident triage, diagnosis based on specific error codes (401, 429, 500), and implementing advanced mitigation techniques like circuit breakers and graceful degradation. This ensures systematic and efficient service recovery.

A comprehensive guide for configuring and integrating the Cohere API v2 across development, staging, and production environments. This pattern ensures environment-specific settings—including API keys, model selections, token limits, and caching strategies—are correctly applied. It covers best practices for secure secret management using tools like Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring robust and scalable deployments.