菜单
Analyze and optimize costs for AI agent workloads on AWS — model selection, caching, memory pricing, scaling strategies. Use when the user asks about costs, pricing, or optimization.
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
Guide developer teams through AIDLC Inception — structured requirements gathering, design, and artifact generation
Reviews agent code for security vulnerabilities, quality issues, and agent-specific best practices. Checks for prompt injection, credential exposure, unsafe execution, error handling, and testing.
Debugging specialist for AgentCore deployments: container failures, IAM permission errors, runtime exceptions, networking issues, and performance problems. Use when developers report errors, crashes, deployment failures, or need help troubleshooting their agent applications.
Generates deployment configurations for Amazon Bedrock AgentCore. Produces Dockerfiles, IAM policies, CDK stacks, buildspec files, runtime configs, and environment variable templates following AWS security best practices and least-privilege principles.
Reviews agent applications for platform deployment readiness. Checks containerization, secrets, config, health endpoints, statefulness, error handling, dependencies, and security.
Fleet operations specialist for agent restart, scaling, graceful draining, and capacity planning. Use when teams need to restart agents, scale the fleet up or down, drain agents for maintenance, or plan capacity.
| name | cost-optimization |
| description | Analyze and optimize costs for AI agent workloads on AWS — model selection, caching, memory pricing, scaling strategies. Use when the user asks about costs, pricing, or optimization. |
