dspy-evaluation-suite
Comprehensive evaluation metrics and testing framework for DSPy programs
product-analytics
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
langfuse-observability
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monitoring-observability
Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
python-observability-patterns
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
code-stats
Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.
logging-observability
Comprehensive logging and observability patterns for production systems. Use when implementing structured logging, distributed tracing, metrics collection, or alerting. Triggers: logging, logs, observability, tracing, metrics, OpenTelemetry, correlation ID, spans, alerts, monitoring, JSON logs.
prometheus
Prometheus monitoring and alerting for cloud-native observability. Use when implementing metrics collection, PromQL queries, alerting rules, or service discovery. Triggers: prometheus, promql, metrics, alertmanager, service discovery, recording rules, alerting, scrape config.
Observability & Monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
prd-v08-monitoring-setup
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metrics-tree
Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding causal relationships between metrics (leading vs lagging), prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, leading indicators, KPI breakdown, metric drivers, or how metrics connect.
plausible
Plausible Analytics API for querying website statistics and managing sites. Use this skill to get visitor counts, pageviews, traffic sources, and manage analytics sites.
monitoring-expert
Use when setting up monitoring systems, logging, metrics, tracing, or alerting. Invoke for dashboards, Prometheus/Grafana, load testing, profiling, capacity planning. Keywords: monitoring, observability, logging, metrics, tracing, alerting, Prometheus, Grafana.
resource-monitor
Monitor system resources (CPU, memory, disk, network) during development and production.
complexity-analyzer
Measure and report code complexity metrics with actionable recommendations.
ln-634-test-coverage-auditor
Coverage Gaps audit worker (L3). Identifies missing tests for critical paths (Money 20+, Security 20+, Data Integrity 15+, Core Flows 15+). Returns list of untested critical business logic with priority justification.
ln-627-observability-auditor
Observability audit worker (L3). Checks structured logging, health check endpoints, metrics collection, request tracing, log levels. Returns findings with severity, location, effort, recommendations.
managing-bd-tasks
Use for advanced bd operations - splitting tasks mid-flight, merging duplicates, changing dependencies, archiving epics, querying metrics, cross-epic dependencies
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