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kopai/root-cause-analysis

Investigate and root-cause production issues from live OpenTelemetry telemetry (traces, logs, metrics) with the Kopai SDK in TypeScript code mode. Use this skill to debug errors and error-rate spikes, investigate latency/slowness and timeouts, trace requests across services, find failing or cascading services, and correlate logs to a trace — including vague symptom reports like 'why is my API slow', 'getting 500 errors', 'service is down', 'requests are timing out', or 'something is failing in prod', even when the user never says 'traces' or 'observability'. This analyzes existing telemetry to find a cause. Do NOT use it to add instrumentation (use otel-instrumentation), to build dashboards or visualizations (use create-dashboard), or to fix non-telemetry problems like failing CI, lint errors, unit tests, or SQL query tuning.

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Overview
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Files

_sections.mdrules/

titleimpacttags
SectionsCRITICALindex, sections

Sections

Impact: CRITICAL

Section definitions for root cause analysis rules.

Sections

SectionImpactFiles
workflowCRITICALworkflow-find-errors.md, workflow-get-context.md, workflow-correlate-logs.md, workflow-check-metrics.md, workflow-identify-cause.md
patternHIGHpattern-http-errors.md, pattern-slow-requests.md, pattern-distributed.md, pattern-log-driven.md

SKILL.md

tile.json