Use when investigating the root cause of a data quality issue, pipeline failure, anomaly, or validation failure — including any request to trace why data is wrong, why a test failed, why a pipeline produced unexpected output, why a metric dropped, or why an alert fired. Triggers: any mention of root cause, RCA, why did this fail, investigate this issue, trace this anomaly, pipeline failure, data incident, quality regression, alert investigation, defect triage, or post-mortem. Also use when the user says 'help me figure out what's wrong', 'something looks off in the data', 'a test is failing and I don't know why', or 'walk me through this issue'. Use this skill even when the investigation is informal — a structured workflow produces better outcomes than ad-hoc querying.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Use when investigating the root cause of a data quality issue, pipeline failure, anomaly, or validation failure — including any request to trace why data is wrong, why a test failed, why a pipeline produced unexpected output, why a metric dropped, or why an alert fired. Triggers: any mention of root cause, RCA, why did this fail, investigate this issue, trace this anomaly, pipeline failure, data incident, quality regression, alert investigation, defect triage, or post-mortem. Also use when the user says 'help me figure out what's wrong', 'something looks off in the data', 'a test is failing and I don't know why', or 'walk me through this issue'. Use this skill even when the investigation is informal — a structured workflow produces better outcomes than ad-hoc querying.
Quick start
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Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Use when investigating the root cause of a data quality issue, pipeline failure, anomaly, or validation failure — including any request to trace why data is wrong, why a test failed, why a pipeline produced unexpected output, why a metric dropped, or why an alert fired. Triggers: any mention of root cause, RCA, why did this fail, investigate this issue, trace this anomaly, pipeline failure, data incident, quality regression, alert investigation, defect triage, or post-mortem. Also use when the user says 'help me figure out what's wrong', 'something looks off in the data', 'a test is failing and I don't know why', or 'walk me through this issue'. Use this skill even when the investigation is informal — a structured workflow produces better outcomes than ad-hoc querying.
About this listing
Category
General
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.