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AI-powered performance optimization skill for multi-cloud environments with predictive analytics, ML-based recommendations, and automated optimization. Use when optimizing application and infrastructure performance across AWS, Azure, GCP, and on-premise.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | optimize-performance |
| description | AI-powered performance optimization skill for multi-cloud environments with predictive analytics, ML-based recommendations, and automated optimization. Use when optimizing application and infrastructure performance across AWS, Azure, GCP, and on-premise. |
| license | AGPLv3 |
| metadata | {"author":"agentic-reconciliation-engine","version":"2.0","category":"enterprise","risk_level":"medium","autonomy":"conditional","layer":"temporal"} |
| compatibility | Requires Python 3.8+, cloud provider CLI tools (AWS CLI, Azure CLI, gcloud), and access to multi-cloud monitoring systems |
| allowed-tools | Bash Read Write Grep |
Enterprise-grade automation solution for performance optimization across AWS, Azure, GCP, and on-premise environments with advanced AI capabilities including predictive analytics, machine learning-based optimization recommendations, and automated performance tuning to maximize operational efficiency while maintaining security and compliance standards.
aws|azure|gcp|onprem|all (optional, default: all)production)true)false)scaling|right_sizing|caching|load_balancing|database|network|application|infrastructure (optional)core/scripts/automation/performance-optimizer.py: Main AI-powered optimization implementationcore/scripts/automation/performance_optimizer_handler.py: Cloud-specific operationscore/scripts/automation/multi_cloud_orchestrator.py: Cross-provider coordinationperformance, optimization, ai, ml, predictive, scaling, bottleneck, tuning, aws, azure, gcp, onprem
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