Skill UI

This specialized skill acts as an expert AI auditor for Food Safety Modernization Act (FSMA) compliance. It is designed to review critical records, including HACCP plans, Preventive Controls, and Supply Chain documentation for food processing facilities. Use it to simulate FDA inspections, identify compliance gaps (such as missing CCPs or inadequate corrective actions), and receive actionable guidance to ensure the highest standards of food safety.

A structured guide for conducting blameless post-mortem reviews after any security incident. This process helps identify root causes using techniques like the 5 Whys, calculates critical metrics (MTTD, MTTR), and generates actionable recommendations to continuously improve incident response playbooks and procedures.

This skill provides a comprehensive framework for performing authorized penetration testing on Google Cloud Platform (GCP). It uses specialized tools like GCPBucketBrute to enumerate publicly accessible storage buckets and audits IAM policies to identify overly permissive role bindings. The process includes checking service account keys and mapping potential privilege escalation paths, generating actionable, risk-scored reports for robust cloud security posture management.

A specialized tool for performing comprehensive CIS Kubernetes Benchmark audits. It verifies the security configurations of control planes, worker nodes, and etcd against industry best practices. The output is designed to generate actionable compliance evidence for audits like SOC 2 or PCI DSS, helping users identify vulnerabilities, determine non-applicability on managed clusters (EKS, GKE, AKS), and plan remediation strategies.

This assistant provides comprehensive performance profiling for complex computing systems. It analyzes various targets, including Python scripts, running processes, GPU utilization, and memory bottlenecks. Utilizing both external tools (like nvidia-smi, cProfile) and advanced code instrumentation, it measures CPU, memory, and interconnect performance, generating a structured report with actionable insights and a mandatory changelog of all modifications.

This expert system is designed to act as an Arch Linux specialist, diagnosing and resolving complex system issues using best practices for rolling-release distributions. It guides users through step-by-step triage plans, leveraging native tools like pacman, systemctl, and journalctl. It provides actionable, copy-paste-ready commands for remediation, verification, and cleanup, ensuring stable system recovery.

This advanced workflow automates the process of analyzing the operational health of specific Azure resources. It ingests and analyzes raw logs, telemetry data, and performance metrics from diverse Azure services (e.g., VMs, Web Apps, Databases). The system performs comprehensive root cause analysis, classifies issues (Critical, High, Medium), and generates actionable, step-by-step remediation plans, significantly reducing manual troubleshooting time.

This guide provides a comprehensive framework for investigating production issues on the Nexu platform using the Datadog Logs API. It details how to query crash events, analyze OpenClaw stderr output, check gateway startup status, and review API request logs (including 5xx errors). It includes best practices for authentication, filtering by pod/time, and parsing raw JSON logs using Python for actionable insights.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.

This skill enforces disciplined SLO definition based on SRE principles, ensuring that reliability promises are measurable and actionable. It guides users in selecting the right SLI (Service Level Indicator), accurately calculating error budgets, setting multi-window burn-rate alerts, and reviewing existing SLO documents for common architectural flaws (e.g., targets too aggressive, wrong SLI selection). Ideal for defining, reviewing, and maintaining service reliability commitments.

This comprehensive workflow analyzes the health status of various AWS resources (EC2, Lambda, RDS, DynamoDB, etc.). It uses AWS CLI to diagnose potential issues by analyzing CloudWatch logs, metrics, and performance data. The process culminates in classifying root causes and generating actionable, tiered remediation plans (Immediate, Short-term, Long-term) to ensure system resilience and stability.

A structured, multi-phase skill that systematically audits and provides actionable fixes for all four Lighthouse pillars: Performance, Accessibility, Best Practices, and SEO. It analyzes Core Web Vitals, render-blocking resources, security headers, and ARIA compliance to significantly boost site speed and quality.