de-root-cause-analysis
CommunityDiagnose pipeline failures fast and safely.
Software Engineering#root cause analysis#data quality#data pipeline#dbt#incident response#airflow#spark
Authorivanshamaev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you quickly identify why a data engineering pipeline failed or produced incorrect data, so you can restore service and prevent recurrence.
Core Features & Use Cases
- Failure taxonomy for fast triage: classifies issues into infrastructure, data, logic, dependency, configuration, and concurrency failures with concrete first checks.
- Investigation workflow (5-step RCA): reconstructs timelines, assesses blast radius, gathers evidence, generates and eliminates hypotheses, and writes a clear root-cause statement.
- Tech-specific diagnosis patterns: supports practical troubleshooting approaches for Airflow, Spark/PySpark, and dbt, plus data-quality anomaly RCA methods.
Quick Start
Use the de-root-cause-analysis skill to produce a structured root-cause analysis for a failing Airflow DAG run by uploading the relevant logs and stating the affected tables and the incident time window.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: de-root-cause-analysis Download link: https://github.com/ivanshamaev/de-agent-skills/archive/main.zip#de-root-cause-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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