observability-design
Monitoring strategies, distributed tracing, SLI/SLO design, and alerting patterns. Use when designing monitoring infrastructure, defining service level objectives, implementing distributed tracing, creating alert rules, building dashboards, or establishing incident response procedures. Covers the three pillars of observability and production readiness.
commandkit-analytics
Instrument CommandKit bots with @commandkit/analytics. Use for provider setup, event taxonomy, runtime telemetry controls, and privacy-aware analytics design.
grafana-dashboards
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
prometheus-configuration
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
monitor
Use this skill when the user needs to set up production monitoring, track app health, configure error alerts, or respond to incidents. Also use when the user says 'my app went down,' 'how do I know if something breaks,' 'set up alerts,' 'is my app healthy,' or 'I found out from a user that my site was down.' Covers error tracking, uptime monitoring, performance metrics, and incident response for SaaS applications.
analytics-metrics
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.
net-observability
Implement observability patterns with OpenTelemetry, structured logging, and distributed tracing
adding-metrics
Add new Prometheus metrics to the Cloudflare exporter. Use when adding metrics, implementing new GraphQL/REST queries, or extending metric coverage. Covers the full workflow from schema discovery through client implementation and README updates.
new-doppler-project
Create a new Doppler project for a repo app or service, wire it to inherit from `_shared`, add personal dev configs, set minimal app-local secrets, and register it in `doppler.yaml`. Use when the user adds a new app/service and wants Doppler setup, inheritance, per-user dev configs, or monorepo wiring.
metric-governance-kit
Framework for defining, approving, and auditing GTM metrics and KPIs.
retention-dashboard
Use to visualize churn, expansion, and health metrics across cohorts.
nurture-testing
Use when planning, executing, and logging nurture experiments and regression tests.
variance-analysis
Use to attribute forecast vs actual deltas and recommend remediation actions.
call-analysis-framework
Use to score calls, capture highlights, and convert insights into actions.
instrumentation
Use when defining events, fields, and governance for GTM analytics pipelines.
regulator-briefing-playbook
Template pack for preparing regulator communications, responses, and readouts.
account-tiering
Use when defining ABM tiers, scoring logic, and coverage rules.
activation-map
Use to link segments and insights to GTM plays, owners, and measurement plans.
customer-trust-dashboard
Reporting framework for monitoring trust, sentiment, and regulator-facing KPIs.
guardrail-scorecard
Framework for defining, monitoring, and enforcing guardrail metrics across experiments.