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Found 67 Skills
This skill should be used when users need to manage AWS EKS clusters via eksctl CLI. It covers cluster creation, nodegroup management, addon operations, IAM integration, and cluster upgrades. Complements kubectl for cluster-level operations. Triggers on requests mentioning eksctl, EKS cluster management, nodegroups, EKS addons, or Kubernetes cluster infrastructure on AWS.
Amazon EKS integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon EKS data.
Use when assessing or reviewing Kubernetes workloads running on Amazon EKS for best practice compliance, including pod configuration, security posture, observability, networking, storage, image security, and CI/CD practices. Requires kubectl and awscli access to the target cluster. Triggers on "assess my EKS workloads", "check k8s best practices", "assess container workloads", "evaluate pod security", "workload compliance check", "EKS workload assessment", "检查 K8s 工作负载", "评估容器最佳实践", "审计 EKS 应用", "检查 Pod 配置", "容器安全评估", "工作负载合规检查".
Use when the user wants to analyze EKS application logs during or after a FIS experiment. Triggers on "analyze app logs", "application log analysis", "check application behavior", "分析应用日志", "查看应用表现", "应用日志分析". Supports two modes: real-time monitoring (during experiment) and post-hoc analysis (after experiment). Reads experiment context from aws-fis-experiment-prepare/execute outputs.
Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user requests options strategy analysis, covered calls, protective puts, spreads, iron condors, earnings plays, or options risk management. Includes volatility analysis, position sizing, and earnings-based strategy recommendations. Educational focus with practical trade simulation.
Fast, zero-config AWS SSO login helper that discovers accounts and roles, configures AWS profiles, and auto-configures EKS Kubernetes contexts. Use when authenticating with AWS SSO, switching between AWS accounts or roles, setting up AWS profiles for CLI usage, configuring Kubernetes contexts for EKS clusters, or exporting AWS_PROFILE for tools that support named profiles.
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on requests involving issue reports, diagnostic collection, support case preparation, or cluster troubleshooting that requires gathering logs and system information from multiple nodes.
Analyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data to assess implied vs realized volatility. Use when pricing options, analyzing volatility surfaces, computing Greeks, assessing vol premiums, or evaluating vol trading strategies.
Options P&L analysis via Longbridge — payoff diagrams, breakeven points, max profit/loss, and Greeks sensitivity (Delta/Gamma/Theta/Vega) for single-leg and multi-leg strategies. Triggers: "期权盈亏", "盈亏图", "盈亏平衡", "最大亏损", "最大盈利", "Greeks敏感性", "Delta", "Gamma", "Theta", "Vega", "多腿组合", "期权到期", "期權盈虧", "盈虧圖", "盈虧平衡", "最大虧損", "最大盈利", "Greeks敏感性", "多腿組合", "options payoff", "P&L diagram", "breakeven", "max profit", "max loss", "Greeks sensitivity", "delta gamma theta vega", "multi-leg options".
AWS cloud services including EC2, EKS, S3, Lambda, RDS, and IAM. Activate for AWS infrastructure, cloud deployment, and Amazon Web Services integration.
A-share financial data toolkit. Provides scripts to obtain real-time A-share market quotes, financial indicators, share increases/reductions by directors, supervisors and senior executives, northbound capital flows, and macroeconomic data (LPR, CPI/PPI, PMI, social financing, M2). Used when real-time A-share market data is required to support investment analysis. All data sources are free and no API key is required.
Detect sector rotation signals by analyzing macroeconomic indicators and business cycle positioning to identify which sectors are likely to outperform or underperform over the next 6–12 months. Use when the user asks about sector rotation, macro-driven sector allocation, business cycle investing, which sectors to overweight or underweight, interest rate impact on sectors, inflation plays, or macro investment strategy.