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Anthropic Claude API CI/CD Testing

anth-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill provides a comprehensive guide for integrating Anthropic Claude APIs into robust CI/CD pipelines. It includes mock-based unit tests for fast, reliable validation, as well as live prompt regression tests for ensuring output consistency on the main branch. Ideal for developers maintaining automated, Claude-powered features.

Debugging Anthropic Claude API Errors

anth-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive reference guide for diagnosing and fixing common Anthropic Claude API errors, categorized by HTTP status codes (400, 429, 500, etc.). Includes specific error JSON patterns, root causes (e.g., role alternation, rate limits), suggested fixes, and code examples in Bash and Python for effective troubleshooting.

Claude API Load Testing and Capacity Planning

anth-load-scale

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

Migrating From OpenAI To Anthropic API

anth-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive deep dive into migrating applications from OpenAI (GPT) to Anthropic (Claude). It details critical API differences, including changes in system prompt handling, function calling formats, and response parsing. It also demonstrates how to build a robust, multi-provider abstraction layer for seamless LLM switching.

Anthropic Claude API Integration Architectures

anth-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides validated architectural patterns for integrating Claude API into production systems. Learn to implement synchronous API gateways, scalable asynchronous queue-based processing, and multi-model routing strategies. This guide helps developers design robust, high-volume, and fault-tolerant AI applications.

Secure Data Handling for AI APIs

anth-data-handling

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive skill providing patterns for implementing data privacy, PII redaction, and robust audit logging when interacting with large language models like Claude. Use this when your application handles sensitive user data, requiring compliance with regulations such as GDPR or CCPA, ensuring all API calls are secure and auditable.

Deploy Claude API Integrations to Cloud

anth-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

This skill guides the secure deployment of Claude API integrations into production cloud environments. It provides comprehensive instructions for implementing services across multiple infrastructures, including Docker, GCP Cloud Run, and Kubernetes. The guide covers best practices such as secret management, health checks, and reliable rollback procedures to ensure high service reliability.

Robust API Design Patterns for AI

anth-reliability-patterns

jeremylongshore/claude-code-plugins-plus-skills

This module provides structured implementations of critical reliability patterns (Circuit Breaker, Graceful Degradation, Idempotency) for integrating with the Claude API. It helps developers build resilient, production-grade applications that can handle transient failures, rate limits, and service outages without failing completely, significantly enhancing system stability and user experience.

Production Patterns for Anthropic SDK

anth-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

This resource provides production-ready architectural patterns for integrating Anthropic's Claude models using TypeScript and Python. It covers robust client wrappers, managing multi-turn conversations, enforcing structured JSON output via prefilling, and implementing multi-tenant architectures. Essential for building reliable, enterprise-grade AI applications.

CI/CD Testing for Claude API Integrations

clade-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

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.

Using Anthropic SDK for Claude Messages API

clade-hello-world

jeremylongshore/claude-code-plugins-plus-skills

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.

Avoiding Common Anthropic API Pitfalls

clade-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

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.

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