metrics AI Agent Skills

railway-metrics

21.8k

davila7

Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".

Verification & Quality Assurance

17.8k

ruvnet

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

performance-analysis

17.8k

ruvnet

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

performance-tracking

241

MadAppGang

Track agent, skill, and model performance metrics for optimization. Use when measuring agent success rates, tracking model latency, analyzing routing effectiveness, or optimizing cost-per-task. Trigger keywords - "performance", "metrics", "tracking", "success rate", "agent performance", "model latency", "cost tracking", "optimization", "routing metrics".

qe-performance-analysis

215

proffesor-for-testing

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

quality-metrics

215

proffesor-for-testing

Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.

qe-quality-metrics

215

proffesor-for-testing

Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.

qe-test-reporting-analytics

215

proffesor-for-testing

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.

observability-testing-patterns

215

proffesor-for-testing

Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert rules, or metric pipelines.

Verification & Quality Assurance

215

proffesor-for-testing

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

qe-verification-quality

215

proffesor-for-testing

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

test-reporting-analytics

215

proffesor-for-testing

Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.

performance-analysis

215

proffesor-for-testing

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

verification-quality-assurance

188

aiskillstore

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

protein-qc

100

adaptyvbio

Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.

monitoring-observability

97

yonatangross

Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse LLM tracing, and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.

feedback

97

yonatangross

Manages OrchestKit usage analytics, learning preferences, and privacy settings. Use when reviewing patterns, pausing learning, or managing consent.

analytics

97

yonatangross

Query cross-project usage analytics. Use when reviewing agent, skill, hook, or team performance across OrchestKit projects. Also replay sessions, estimate costs, and view model delegation trends.

OpenTelemetry Testing

71

PramodDutta

Testing distributed tracing and observability instrumentation with OpenTelemetry including span verification, metric collection, and log correlation.

A/B Test Validation

71

PramodDutta

Validating A/B test implementations including traffic splitting accuracy, statistical significance calculation, metric tracking, and experiment cleanup.

Test Debt Calculator

71

PramodDutta

Quantify and prioritize test technical debt by analyzing coverage gaps, flaky test ratios, outdated assertions, and missing test categories across codebases.

Canary Deployment Testing

71

PramodDutta

Canary deployment validation testing including traffic splitting, metric comparison, automatic rollback triggers, and health score calculation.

dag-performance-profiler

43

curiositech

Profiles DAG execution performance including latency, token usage, cost, and resource consumption. Identifies bottlenecks and optimization opportunities. Activate on 'performance profile', 'execution metrics', 'latency analysis', 'token usage', 'cost analysis'. NOT for execution tracing (use dag-execution-tracer) or failure analysis (use dag-failure-analyzer).

skill-logger

43

curiositech

Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous improvement. Activate on "skill logging", "skill quality", "skill analytics", "skill scoring", "skill performance", "skill metrics", "track skill usage", "skill improvement". NOT for creating skills (use agent-creator), skill documentation (use skill-coach), or runtime debugging (use debugger skills).

pandas

40

manutej

Expert data analysis and manipulation for customer support operations using pandas

golang-observability-opentelemetry

15

bobmatnyc

Instrumenting Go applications with OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging with slog

OpenTelemetry

15

bobmatnyc

OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting

Datadog Observability

15

bobmatnyc

Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.

monitoring-observability

13

williamzujkowski

Master monitoring and observability for distributed systems

Observability with Prometheus & Grafana

10

bobmatnyc

Production-grade observability stack with Prometheus metrics, Grafana dashboards, PromQL query language, alerting rules, and AI-powered anomaly detection for modern cloud-native applications

github-copilot

9

enuno

AI-powered coding assistant providing inline suggestions, chat interface, code review, and autonomous coding agent across IDEs and GitHub.com

performance-analysis

2

frankxai

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

Verification & Quality Assurance

2

frankxai

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

building-incident-response-dashboard

2

mukul975

Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

building-soc-metrics-and-kpi-tracking

2

mukul975

Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data. Use when SOC leadership needs operational visibility, continuous improvement tracking, or executive-level reporting on security operations effectiveness.

performance-analysis

1

agent-arc-744

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

fte.orchestrator.status

assadsharif

Show orchestrator liveness, last-run metrics, queue depth, and recent task throughput from the checkpoint and metrics log.

saas-finance

arielperez82

SaaS finance metrics, pricing, acquisition channels, investment analysis, and business health diagnostics. Consolidates 7 reference guides for PM financial fluency.