菜单
Analyze and reduce cloud and infrastructure costs. Invoke for: "reduce cloud costs", "cost optimization", "AWS cost", "cloud bill too high", "right-sizing", "idle resources", "spot instances", "reserved instances", "LLM cost too high".
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 | cost-optimizer |
| description | Analyze and reduce cloud and infrastructure costs. Invoke for: "reduce cloud costs", "cost optimization", "AWS cost", "cloud bill too high", "right-sizing", "idle resources", "spot instances", "reserved instances", "LLM cost too high". |
| argument-hint | cost area to optimize (e.g. "AWS monthly bill" or "LLM API costs") |
| allowed-tools | Read, Grep, Glob, WebSearch |
Category: DevOps/Infra
Identify and eliminate cloud waste. Find the highest-ROI cost optimizations with minimal risk.
## Cost Optimization Report — <scope> — <date>
### Current Spend: $X/month
### Quick Wins (< 1 day to implement)
1. Rightsize X → $Y/month saved
### Medium Wins
### Total Potential Savings: $Z/month (X%)
/cost-optimizer analyze AWS spend and LLM API costs — find top 5 reduction opportunities
Accessibility audit against WCAG 2.1 AA standards. Invoke for: "accessibility", "a11y", "WCAG", "screen reader", "aria labels", "color contrast", "keyboard navigation", "accessibility audit", "ADA compliance".
Write Architecture Decision Records (ADRs) to document significant technical decisions. Invoke for: "write ADR", "document this decision", "architecture decision record", "why did we choose X", "decision log", "record this choice", "ADR for".
Design and implement multi-agent orchestration systems. Invoke for: "multi-agent system", "orchestrate agents", "agent pipeline", "agent workflow", "how should agents communicate", "agent coordination", "task delegation to agents", "build an agent system".
AI safety review: alignment, misuse prevention, bias, fairness, and responsible AI. Invoke for: "AI safety review", "bias check", "fairness audit", "alignment", "responsible AI", "misuse prevention", "AI ethics", "safety guardrails", "could this AI system be misused".
LLM and AI agent security: prompt injection, jailbreaks, agent defense, guardrails. Invoke for: "prompt injection", "LLM security", "agent security", "jailbreak defense", "AI safety audit", "system prompt leakage", "adversarial inputs", "AI pipeline security", "tool call validation", "LLM guardrails", "model security", "is my prompt safe".
Improve algorithmic efficiency — find better algorithms and data structures. Invoke for: "algorithm improvement", "better algorithm", "O(n²) is too slow", "data structure choice", "optimize this loop", "algorithmic complexity", "time complexity".