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name: anomaly-detector description: | Design anomaly detection systems for metrics, transactions, and behavior. TRIGGERS - Use when user needs help with anomaly-detector related tasks. category: Data & Analytics version: 1.0

anomaly-detector

Workflow

1. Understand Requirements - Ask about context, audience, goals, and constraints
2. Research & Analyze - Review background info, best practices, and frameworks
3. Create Draft - Build structured output with specific, actionable details
4. Review & Refine - Check quality checklist, ensure consistency and completeness

Output Format

Context: [Situation/background] | Objective: [What this achieves] | Audience: [Who this is for]

Key Components

Component	Details	Owner	Timeline
[Item 1]	[Specifics]	[Person/team]	[Date]

Action Plan

1. Immediate: [First steps]
2. Short-term: [Build momentum]
3. Medium-term: [Scale and optimize]

Success Metrics

Metric	Target	Method
[KPI 1]	[Goal]	[Track]

Quality Checklist

• Tailored to specific context
• Actionable next steps
• Measurable success criteria
• Professional formatting