ai-resilience
CommunityHardening AI integrations with retry and caching.
Authorrochaluiz8888
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AI/LLM integrations often suffer from intermittent failures, excessive latency, and inefficient usage of API quotas. This skill provides production-grade resilience patterns to make AI calls robust, efficient, and auditable.
Core Features & Use Cases
- Exponential backoff with jitter for retries on 429/5xx responses and network errors.
- Smart-skip content hashing to avoid reprocessing identical inputs.
- Batch processing with bounded concurrency to scale AI workloads without overwhelming services.
- Token optimization and structured JSON outputs to improve predictability and downstream consumption.
Quick Start
Integrate these patterns by wiring retry, caching, and batching into your Gemini-based AI calls and run a focused test to validate resilience.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-resilience Download link: https://github.com/rochaluiz8888/claude-code-skills/archive/main.zip#ai-resilience Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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