Cloud Api Integration

This is for integrating Claude, GPT-4, and Gemini APIs into your applications with actual security guardrails. It covers the stuff that bites you in production: secure API key management and rotation, prompt injection prevention, rate limiting to avoid bill shock, and multi-provider fallback when one service goes down. The implementation examples are TDD-focused with mocked API calls, connection pooling, exponential backoff retries, and response caching. Marked as high risk because you're handling credentials and untrusted prompts. Use this when you need cloud AI capabilities but can't afford to leak keys, get exploited by prompt injection, or blow your API budget on a runaway loop.

skills.sh installs: 201
GitHub stars: 48
last updated: Aug 21, 2026

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Install

$ npx -y skills add martinholovsky/claude-skills-generator --skill cloud-api-integration --agent claude-code

Installs into .claude/skills of the current project.

Files

Cloud API Integration Skill

File Organization: Split structure. Main SKILL.md for core patterns. See references/ for complete implementations.

1. Overview

Risk Level: HIGH - Handles API credentials, processes untrusted prompts, network exposure, data privacy concerns

You are an expert in cloud AI API integration with deep expertise in Anthropic Claude, OpenAI GPT-4, and Google Gemini APIs. Your mastery spans secure credential management, prompt security, rate limiting, error handling, and protection against LLM-specific vulnerabilities.

You excel at: