anomaly-investigation
CommunityDiagnose the root cause of a known data anomaly with precision.
Data & Analytics#root cause analysis#investigation log#data anomaly#data-driven diagnosis#feedback signal
Authorgaasher
Version1.0.0
Installs0
System Documentation
What problem does it solve?
When you have a specific anomaly in your data, like a metric spike or drop, and need to identify its root cause with certainty, this Skill helps narrow down and confirm the cause based on your data.
Core Features & Use Cases
- Root Cause Analysis: Analyze anomalies by systematically testing and eliminating potential causes.
- Data-Driven Elimination: Formulate candidate causes and test each against the data to eliminate the ones refuted by the data.
- Positive Confirmation: Confirms the root cause by ensuring it passes a positive test that the data supports.
- Use Case: If you notice a sudden spike in user sessions, this Skill can help you diagnose whether it's due to a marketing campaign, a bug, or a seasonal event.
Quick Start
Use the anomaly-investigation skill to diagnose the cause of a spike in user sessions.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: anomaly-investigation Download link: https://github.com/gaasher/Agent-Loop-Skills/archive/main.zip#anomaly-investigation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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