Skill UI

A comprehensive diagnostic guide for common issues encountered with CAST AI agents, Kubernetes autoscaling, API connectivity, and resource provisioning. Covers scenarios like agent crashes, 401 errors, and scaling failures, providing specific commands (kubectl, curl, helm) and detailed fixes for robust troubleshooting.

This guide sets up a robust local development loop for integrated Kubernetes infrastructure using CAST AI. It allows developers to test autoscaler policies, validate Terraform modules, and measure potential cloud cost savings in a dev environment before deploying to production. This is essential for building cost-aware and efficient CI/CD pipelines.

A comprehensive reference architecture guide for deploying and managing CAST AI across multiple Kubernetes clusters (Dev, Staging, Prod). It details best practices for infrastructure provisioning using Terraform, focusing heavily on cost optimization techniques such as autoscaling, spot instance management, and environment-specific resource policies. Ideal for setting up team standards and ensuring reliable, cost-effective deployments.

A set of production-ready wrappers and patterns for interacting with the CAST AI REST API. This package provides robust client implementations in TypeScript and Python, handling critical features such as typed responses, singleton management, automatic retry logic with backoff, and managing cloud resources (e.g., Kubernetes clusters, node optimization). Use it when building reusable, reliable clients for cost optimization and infrastructure management.

This skill provides the comprehensive workflow for interacting with the Anthropic Messages API. It covers advanced features including streaming responses, multimodal vision input, generating structured JSON output using system prompts, and managing multi-turn conversations. It redirects users to the current, primary guide for all Claude API patterns.

This comprehensive guide teaches users how to set up a ClickHouse database environment. It covers creating a MergeTree table, inserting structured event data using TypeScript, and executing essential analytical queries (e.g., counting, grouping, unique user metrics). Ideal for beginners learning OLAP databases, testing connections, or mastering core data warehousing concepts.

This guide provides minimal, working examples using the Alchemy SDK for foundational Web3 development. Learn essential blockchain interactions, including checking ETH balances, fetching NFT collections for a wallet, retrieving ERC-20 token balances, and querying the latest block information. Ideal for developers starting out or testing their blockchain infrastructure.

A comprehensive guide to troubleshooting the most common Algolia API errors, including 400, 403, 404, and 429. This document details the root causes and provides step-by-step fixes for issues related to invalid API keys, rate limits, missing indexes, and data structure validation, ensuring reliable search functionality.

A comprehensive guide to reducing Algolia operational costs. This guide details the pricing structure based on search requests and records, providing advanced techniques such as implementing virtual replicas instead of standard replicas, utilizing multi-query search for request batching, and implementing client-side caching. It also includes strategies for auditing, cleaning up unused indices, and monitoring usage via the Analytics API.

A comprehensive runbook for diagnosing and resolving outages, degradation, and rate-limiting issues when using the Claude API. It provides structured triage steps, decision trees, and mitigation strategies for P1 through P4 severity incidents, ensuring minimal downtime and stable API interaction.

This comprehensive guide covers the full lifecycle of Apify Actors, enabling deployment from local environments to production platforms. Learn to trigger scraping tasks via APIs (e.g., Next.js routes), consume structured data, and handle results asynchronously using webhooks in frameworks like Express.js. Ideal for building robust, data-driven web services and automating data pipelines.

Learn production-grade, scalable architectural patterns for building robust scraping systems using Apify. This guide details structures for standalone scrapers, complex multi-stage pipelines (Discover, Scrape, Transform), and integrating Apify into full-stack applications for powerful data extraction.