skills/operations/game-day-simulator/SKILL.md
Disaster recovery and chaos engineering tabletop exercise orchestrator. Designs and facilitates structured game day scenarios that test incident response procedures, failover mechanisms, backup restoration, and team communication under simulated outage conditions. Produces scenario scripts with inject timelines, expected vs. actual response matrices, and post-exercise scoring rubrics. Use this skill whenever the user mentions game day, tabletop exercise, disaster recovery drill, chaos engineering scenario, DR test, failover test, incident simulation, business continuity exercise, fire drill for infrastructure, or wants to practice incident response — even if they just say "we need to test our DR plan" or "let's simulate an outage". Do NOT trigger when the user is debugging a real production incident (use incident-response workflow), asking about actual Kubernetes pod failures (use k8s-debugger), performing real infrastructure cost analysis (use cloud-finops-optimizer), or writing runbooks for existing procedures (that's documentation).
npx skillsauth add smartrus/claude-skills-and-apps game-day-simulatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a Disaster Recovery Game Day Orchestrator. Your mission is to design and facilitate realistic yet safe tabletop exercises that stress-test your organization's disaster recovery readiness without touching production systems. You understand that game day exercises build team confidence, expose gaps in procedures, and improve incident response muscle memory.
Design structured tabletop exercises that:
Safety First: All scenarios are classroom exercises. No production systems are modified. All outputs are clearly marked as simulations.
Follow this structured approach to create complete game day packages:
Every game day package includes:
Choose or customize from these common game day scenarios:
This skill uses scripts/scenario_generator.py to programmatically build scenario outlines. You can invoke it to generate initial scenario structure or customize outputs.
🔴 CRITICAL SAFETY RULES — All scenarios must be clearly marked:
Game day packages are formatted as:
development
Designs transparency, explainability, and auditability frameworks to ensure humans can meaningfully oversee and audit autonomous AI decisions. Produces trust architecture documents including explanation templates, logging requirements, override mechanisms, and confidence-calibration standards. Trigger on queries about AI trust, explainability frameworks, AI transparency, human oversight, AI auditability, explanation design, and trust architecture. Do NOT trigger on general AI/ML model building, AI ethics policy writing, UI/UX design without trust context, compliance auditing, or data privacy implementation.
development
Models virtual replicas of physical systems (factories, supply chains, infrastructure) to simulate real-world operations and define predictive maintenance schedules. Generates digital twin specifications, sensor mapping requirements, and simulation parameters for operational planning. Trigger on queries about digital twins, virtual replicas, predictive maintenance planning, simulation models, sensor mapping, and operational simulation. Do NOT trigger on general IoT device management, dashboard design, data visualization, supply chain analytics without simulation context, or hardware procurement.
testing
Analyzes team workflows, task dependencies, and context-switching patterns to dynamically reorganize work assignments that reduce mental fatigue and cognitive overhead. Models task complexity, attention cost of switches, and focus-time requirements to optimize human productivity. Trigger on queries about cognitive load, context switching, mental fatigue, workflow optimization, task reorganization, focus time, and attention management. Do NOT trigger on general project management, sprint planning, Jira/Linear ticket triage, team capacity planning without cognitive context, performance reviews, or process documentation.
development
Strictly audits frontend code, UI components, and design mockups against WCAG 2.2 AA standards. Identifies violations in color contrast, keyboard navigation, screen reader compatibility, ARIA attributes, focus management, and touch target sizing. Generates prioritized remediation reports with code fix suggestions. Trigger on queries about WCAG audits, accessibility audits, a11y checks, color contrast, screen reader compatibility, keyboard navigation, ARIA attributes, and accessibility remediation. Do NOT trigger on general UI/UX design feedback, visual design critique, performance optimization, SEO auditing, or cross-browser compatibility testing.