{"enrichment":{"faq":[{"a":"Causal Inference Root Cause systematically investigates why problems occur by separating genuine causal relationships from correlations and symptoms. It guides you through defining effects, generating competing hypotheses, building causal models, testing causality rigorously, and documenting findings with confidence levels. Use it for incident investigations, metric changes, policy evaluation, or debugging.","q":"How does Causal Inference Root Cause help find root causes using causal methods?"},{"a":"Causal Inference Root Cause distinguishes causal relationships from mere correlations in data\u2014a core strength of the skill. Two variables may move together (correlation) without one causing the other. This skill helps you identify which relationships are truly causal by building causal models, testing competing hypotheses, and applying rigorous inference methods rather than assuming correlation implies causation.","q":"What's the difference between correlation and causation in root cause analysis?"},{"a":"Yes. Causal Inference Root Cause performs structured root cause analysis for incident investigation. It guides you through defining the incident effect, generating competing hypotheses about what caused it, building causal models to represent relationships, testing causality rigorously, and documenting findings with confidence levels\u2014enabling systematic, evidence-based incident diagnosis.","q":"Can Causal Inference Root Cause be used for incident investigation?"},{"a":"Causal Inference Root Cause applies causal reasoning to troubleshoot system failures by moving beyond symptom observation. Rather than listing correlated events, you build causal models representing how system components interact, test which relationships are truly causal, and trace failures back to their genuine root causes. This structured approach replaces guesswork with evidence-based diagnosis.","q":"How do I apply causal reasoning to troubleshoot system failures?"},{"a":"Causal Inference Root Cause includes defining effects clearly, generating competing hypotheses, building causal models, testing causality rigorously, and documenting findings with confidence levels. This systematic workflow separates genuine causal relationships from correlations and symptoms, enabling you to investigate problems in incidents, metric changes, policy evaluation, and debugging scenarios.","q":"What does Causal Inference Root Cause include in its methodology?"},{"a":"Use Causal Inference Root Cause whenever you need to determine why something happened\u2014not just what happened alongside it. Apply it to incident investigations, troubleshooting system failures, understanding metric changes, evaluating policy impacts, or debugging problems. The skill is most valuable when correlation alone is insufficient and you need evidence-based causal reasoning.","q":"When should I use causal inference for root cause detection?"}],"shadow_tags":["root-cause-analysis","causal-reasoning","problem-diagnosis","incident-investigation","troubleshooting-methodology","causal-modeling","correlation-vs-causation","systems-analysis"],"summary_rewrite":"This skill systematically investigates why problems occur by separating genuine causal relationships from correlations and symptoms. It guides you through defining effects, generating competing hypotheses, building causal models, testing causality rigorously, and documenting findings with confidence levels. Apply it to incident investigations, metric changes, policy evaluation, or debugging."},"id":"lyndonkl/claude/causal-inference-root-cause","install":{"mode":"external","repo":"https://github.com/lyndonkl/claude"},"links":{"html":"https://skillfed.io/lyndonkl/claude/causal-inference-root-cause","md":"https://skillfed.io/lyndonkl/claude/causal-inference-root-cause.md","repo":"https://github.com/lyndonkl/claude"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":18,"language":"Python","last_updated":"2026-07-27","license":null,"name":"Causal Inference Root Cause","publisher":"lyndonkl","stars":135},"relations":{"categories":["data-analysis","troubleshooting","quality-assurance"],"similar":[{"id":"tondevrel/scientific-agent-skills/dowhy"},{"id":"xintaofei/codeg/scientific-critical-thinking"},{"id":"LeonChaoX/qinyan-academic-skills/scientific-critical-thinking"},{"id":"foryourhealth111-pixel/Vibe-Skills/scientific-critical-thinking"},{"id":"beita6969/ScienceClaw/scientific-critical-thinking"},{"id":"synthetic-sciences/openscience/scientific-critical-thinking"},{"id":"nicepkg/auto-company/scientific-critical-thinking"},{"id":"beita6969/ScienceClaw/scienceclaw-reasoning"},{"id":"rysweet/amplihack/epidemiologist-analyst"},{"id":"jaechang-hits/SciAgent-Skills/scientific-critical-thinking"}]},"slug":{"owner":"lyndonkl","repo":"claude","skill":"causal-inference-root-cause"},"version":"d60df717"}