Skill UI

A comprehensive guide and set of scripts to maximize cost savings in Kubernetes environments using CAST AI. Learn to implement aggressive spot instance strategies, perform workload right-sizing, utilize cluster hibernation for non-production environments, and analyze monthly savings reports to significantly reduce cloud compute expenditure.

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 covering Chinese technical documentation formatting rules. It addresses common issues like mixing full/half-width punctuation, spacing conventions (e.g., space between English/Chinese text, numbers/units), and best practices for handling technical terminology translation and structure.

A comprehensive guide for testing and validating Claude API integrations within Continuous Integration/Continuous Deployment (CI/CD) pipelines. Learn best practices for managing API keys securely, implementing effective mocking strategies for unit tests, and executing real integration tests while controlling costs using tools like GitHub Actions.

A comprehensive guide to implementing secure, scalable, and audited access control for Anthropic enterprise deployments. It details best practices for establishing Organization structures, isolating environments (Dev/Staging/Prod), managing API keys, and implementing Role-Based Access Control (RBAC) to prevent security breaches and control costs.

This comprehensive guide teaches developers how to interact with Claude AI using the official Anthropic SDK. It provides step-by-step instructions on basic message creation, implementing system prompts, and managing multi-turn conversation flows via the Messages API. Ideal for setting up a new Claude integration or testing core API functionality.

A comprehensive runbook designed to guide developers through responding to Anthropic API incidents, including outages, sustained errors (like 529), and rate limit issues. It covers systematic steps like checking the official status page, classifying incident severity, implementing model fallback logic (e.g., downgrading Opus to Sonnet), and conducting post-incident impact assessments to ensure service resilience.

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.

This guide sets up a fast, cost-effective local development loop for building applications powered by the Anthropic API (Claude). It includes instructions for hot reloading, cost-saving tips (e.g., using Haiku, token limits), and mock client implementation for robust unit testing. It supports both TypeScript/Node.js and Python environments, streamlining the AI development workflow.

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.

This guide details essential best practices for securing applications integrated with Anthropic's Claude API. It covers critical security measures including secure API key management (server-side only), robust input validation to prevent cost attacks, defense mechanisms against prompt injection, and implementing per-user rate limiting. Essential reading for maintaining data privacy and system integrity in production environments.

This core skill drafts comprehensive and legally sound patent claims based on invention disclosures and prior art. It adheres to complex jurisdictional standards (US, EP, CN) and requires defining the precise legal scope of protection for both method and apparatus claims. Essential for the intellectual property pipeline.