Health & Fitness

Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.

Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.

Enterprise-grade compliance architecture for SOC 2, HIPAA, GDPR, PCI-DSS. Provides compliance checklists, security controls, audit guidance, and regulatory requirements for serverless and cloud architectures. Activates for compliance, HIPAA, SOC2, SOC 2, GDPR, PCI-DSS, PCI DSS, regulatory, healthcare data, payment card, data protection, audit, security standards, regulated industry, BAA, business associate agreement, DPIA, data protection impact assessment.

Deploys features to staging environment with database migrations, health checks, and deployment verification. Use during /ship-staging phase or when deploying to staging environments for validation before production release.

Executes production deployment workflow by promoting validated staging builds to production with semantic versioning, health checks, and release tagging. Use when running /ship-prod command, deploying to production after staging validation, or promoting staging builds to production environment.

Provides financial analysis and forecasting capabilities. Use when user asks about: - Financial summary or cash flow (收支分析, 现金流) - Financial health evaluation (财务健康, 财务评分) - Future balance predictions (余额预测, 财务预测) - Purchase impact simulation (如果买...会怎样)

Implement observability and monitoring using Cloudflare Workers Analytics, wrangler tail for logs, and health checks. Use when setting up monitoring, implementing logging, configuring alerts, or debugging production issues.

Security-first dependency management methodology with batch remediation, policy-driven compliance, and automated enforcement. Use when security vulnerabilities exist in dependencies, dependency freshness low (outdated packages), license compliance needed, or systematic dependency management lacking. Provides security-first prioritization (critical vulnerabilities immediately, high within week, medium within month), batch remediation strategy (group compatible updates, test together, single PR), policy-driven compliance framework (security policies, freshness policies, license policies), and automation tools for vulnerability scanning, update detection, and compliance checking. Validated in meta-cc with 6x speedup (9 hours manual to 1.5 hours systematic), 3 iterations, 88% transferability across package managers (concepts universal, tools vary by ecosystem).

Create production-ready Osiris ETL components (extractors, writers, processors). Use when building new components, implementing capabilities (discover, streaming, bulkOperations), adding doctor/healthcheck methods, packaging for distribution, validating against 60-rule checklist, or ensuring E2B cloud compatibility. Supports third-party component development in isolated projects.

Observability audit worker (L3). Checks structured logging, health check endpoints, metrics collection, request tracing, log levels. Returns findings with severity, location, effort, recommendations.

Build health audit worker (L3). Checks compiler/linter errors, deprecation warnings, type errors, failed tests, build configuration issues. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.

Track errors with CloudWatch Logs, implement structured logging, and monitor application health. Use when debugging production issues, investigating errors, or improving observability.

Design comprehensive customer retention systems with health scoring, churn prediction, proactive engagement workflows, and customer success frameworks to maximize lifetime value.

Analyzes events through environmental lens using ecological principles, systems thinking, sustainability frameworks, and conservation biology to assess ecosystem health, biodiversity impacts, and long-term environmental sustainability. Provides insights on climate change, resource management, pollution, habitat conservation, and human-nature relationships. Use when: Environmental policy, climate decisions, conservation planning, resource extraction, pollution assessment. Evaluates: Ecosystem health, biodiversity, sustainability, climate impacts, carrying capacity, environmental justice.

Comprehensive codebase quality audit with parallel agent orchestration, GitHub issue creation, automated PR generation per issue, and PM-prioritized recommendations. Use for code review, refactoring audits, technical debt analysis, module quality assessment, or codebase health checks.

Analyzes living systems and biological phenomena through biological lens using evolution, molecular biology, ecology, and systems biology frameworks. Provides insights on mechanisms, adaptations, interactions, and life processes. Use when: Biological systems, health issues, evolutionary questions, ecological problems, biotechnology. Evaluates: Function, structure, heredity, evolution, interactions, molecular mechanisms.

Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience testing, blast radius control, game days, antifragile systems.

Analyzes disease patterns and health events through epidemiological lens using surveillance systems, outbreak investigation methods, and disease modeling frameworks. Provides insights on disease spread, risk factors, prevention strategies, and public health interventions. Use when: Disease outbreaks, health policy evaluation, risk assessment, intervention planning. Evaluates: Transmission dynamics, risk factors, causality, population health impact, intervention effectiveness.

Dependency health analysis to detect outdated packages and unused dependencies.

Analyzes events through psychological lens using cognitive psychology, social psychology, developmental psychology, clinical psychology, and neuroscience. Provides insights on behavior, cognition, emotion, motivation, group dynamics, decision-making biases, mental health, and individual differences. Use when: Behavioral patterns, decision-making, group behavior, mental health, leadership, persuasion, trauma, development. Evaluates: Cognitive processes, emotional responses, motivations, biases, group dynamics, personality, mental states.