test-reporting-analytics
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.
About test-reporting-analytics
test-reporting-analytics is a Claude AI skill developed by 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. This powerful Claude Code plugin helps developers automate workflows and enhance productivity with intelligent AI assistance.
Why use test-reporting-analytics? With 0 stars on GitHub, this skill has been trusted by developers worldwide. Install this Claude skill instantly to enhance your development workflow with AI-powered automation.
| name | test-reporting-analytics |
| description | 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. |
| category | analytics |
| priority | high |
| tokenEstimate | 850 |
| agents | ["qe-quality-analyzer","qe-quality-gate","qe-deployment-readiness"] |
| implementation_status | optimized |
| optimization_version | 1 |
| last_optimized | "2025-12-03T00:00:00.000Z" |
| dependencies | [] |
| quick_reference_card | true |
| tags | ["reporting","analytics","dashboards","metrics","trends","predictive"] |
Test Reporting & Analytics
<default_to_action> When building test reports:
- DEFINE audience (dev team vs executives)
- CHOOSE key metrics (max 5-7)
- SHOW trends (not just snapshots)
- HIGHLIGHT actions (what to do about it)
- AUTOMATE generation
Dashboard Quick Setup:
+------------------+------------------+------------------+
| Tests Passed | Code Coverage | Flaky Tests |
| 1,247/1,250 ✅ | 82.3% ⬆️ +2.1% | 1.2% ⬇️ -0.3% |
+------------------+------------------+------------------+
| Critical Bugs | Deploy Freq | MTTR |
| 0 open ✅ | 12x/day ⬆️ | 2.3h ⬇️ |
+------------------+------------------+------------------+
Key Metrics by Audience:
- Dev Team: Pass rate, flaky %, execution time, coverage gaps
- QE Team: Defect detection rate, test velocity, automation ROI
- Leadership: Escaped defects, deployment frequency, quality cost </default_to_action>
Quick Reference Card
Essential Metrics
| Category | Metric | Target |
|---|---|---|
| Execution | Pass Rate | >98% |
| Execution | Flaky Test % | <2% |
| Execution | Suite Duration | <10 min |
| Coverage | Line Coverage | >80% |
| Coverage | Branch Coverage | >70% |
| Quality | Escaped Defects | <5/release |
| Quality | MTTR | <4 hours |
| Efficiency | Automation Rate | >90% |
Trend Indicators
| Symbol | Meaning | Action |
|---|---|---|
| ⬆️ | Improving | Continue current approach |
| ⬇️ | Declining | Investigate root cause |
| ➡️ | Stable | Maintain or improve |
| ⚠️ | Threshold breach | Immediate attention |
Report Types
Real-Time Dashboard
Live quality status for CI/CD
- Build status (green/red)
- Test results (pass/fail counts)
- Coverage delta
- Flaky test alerts
Sprint Summary
## Sprint 47 Quality Summary ### Metrics | Metric | Value | Trend | |--------|-------|-------| | Tests Added | +47 | ⬆️ | | Coverage | 82.3% | ⬆️ +2.1% | | Bugs Found | 12 | ➡️ | | Escaped | 0 | ✅ | ### Highlights - ✅ Zero escaped defects - ⚠️ E2E suite now 45min (target: 30min) ### Actions 1. Optimize slow E2E tests 2. Add coverage for payment module
Executive Report
## Monthly Quality Report - Oct 2025 ### Executive Summary ✅ Production uptime: 99.97% (target: 99.95%) ✅ Deploy frequency: 12x/day (up from 8x) ⚠️ Coverage: 82.3% (target: 85%) ### Business Impact - Automation saves 120 hrs/month - Bug cost: $150/bug found vs $5,000 escaped - Estimated annual savings: $450K ### Recommendations 1. Invest in performance testing tooling 2. Hire senior QE for mobile coverage
Predictive Analytics
// Predict test failures const prediction = await Task("Predict Failures", { codeChanges: prDiff, historicalData: last90Days, model: 'gradient-boosting' }, "qe-quality-analyzer"); // Returns: // { // failureProbability: 0.73, // likelyFailingTests: ['payment.test.ts'], // suggestedAction: 'Review payment module carefully', // confidence: 0.89 // } // Trend analysis with anomaly detection const trends = await Task("Analyze Trends", { metrics: ['passRate', 'coverage', 'flakyRate'], period: '30d', detectAnomalies: true }, "qe-quality-analyzer");
Agent Integration
// Generate comprehensive quality report const report = await Task("Generate Quality Report", { period: 'sprint', audience: 'executive', includeROI: true, includeTrends: true }, "qe-quality-analyzer"); // Real-time quality gate check const gateResult = await Task("Quality Gate Check", { metrics: currentMetrics, thresholds: qualityPolicy, environment: 'production' }, "qe-quality-gate");
Agent Coordination Hints
Memory Namespace
aqe/reporting/
├── dashboards/* - Dashboard configurations
├── reports/* - Generated reports
├── trends/* - Trend analysis data
└── predictions/* - Predictive model outputs
Fleet Coordination
const reportingFleet = await FleetManager.coordinate({ strategy: 'quality-reporting', agents: [ 'qe-quality-analyzer', // Metrics aggregation 'qe-quality-gate', // Threshold validation 'qe-deployment-readiness' // Release readiness ], topology: 'parallel' });
Related Skills
- quality-metrics - Metric definitions
- shift-right-testing - Production metrics
- consultancy-practices - Client reporting
Remember
Measure to improve. Report to communicate.
Good reports:
- Answer "so what?" (actionable insights)
- Show trends (not just snapshots)
- Match audience needs
- Automate where possible
Data without action is noise. Action without data is guessing.

proffesor-for-testing
agentic-qe
Download Skill Files
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