Project Delivery Perspective: Include scope, dependencies, and delivery risk in quality decisions
Project Delivery Perspective field guide: inputs, sample output, evidence boundaries, installation, and common mistakes.
#Agent Skills
Technical Quality Perspective: Include architecture, reliability, and maintainability in quality decisions
Technical quality perspective field guide: inputs, sample output, evidence boundaries, installation, and common mistakes.
UX Quality Perspective: Bring user task flows and usability issues into quality decisions
UX Quality Perspective field guide: inputs, sample output, evidence boundaries, installation, and common mistakes.
Product Quality Perspective: Bring user value and business impact into quality decisions
Product Quality Perspective field guide: inputs, sample output, evidence boundaries, installation, and common mistakes.
QA Quality Perspective: Use coverage, risk, and evidence to support quality conclusions
QA quality perspective field guide: inputs, sample output, evidence boundaries, installation, and common mistakes.
Production Incident Analysis: From incident timeline to containment, validation, and retrospective actions
Production Incident Analysis field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.
Production Verification: Verify business flows, metrics, logs, and rollback conditions after release
Production Verification field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.
Root Cause Analysis: Move from symptoms to hypotheses and find a verifiable root cause
Root Cause Analysis field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.
Distributed Trace Analysis: Use a trace to locate cross-service latency and error propagation
Distributed Trace Analysis field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.
Log Analysis: Cluster errors at scale and locate post-release issues
Log Analysis field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.
Metrics Anomaly Analysis: Use anomalous metrics to locate the time window, impact, and candidate causes
Metrics Anomaly Analysis field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.
Capacity Planning Analysis: Use business growth and resource curves to judge remaining system capacity
Capacity Planning Analysis field guide covering project inputs, evidence, execution boundaries, advanced composition, and team gates.