"""
S2 Decomposed: Telemetry Anomaly
==========================================

Auto-generated from Complex Decomposition Strategy.

Original skill: automation/telemetry-anomaly
Concept: Real-time monitoring of system metrics to detect deviations from established baselines

Scale structure:
  L0 (Micro): 6 operations
  L1 (Meso): 3 operations
  L2 (Macro): 1 operations
  L3 (Meta): 1 orchestrator

Model routing (5 LLM Partners: codegemma, qwen3, deepseek_r1, llava, gpt_oss_20b):
  L0 -> text:codegemma | reasoning:codegemma
  L1 -> text:qwen3 | reasoning:deepseek_r1
  L2 -> text:qwen3 | synthesis:gpt_oss_20b
  L3 -> text:deepseek_r1 | synthesis:gpt_oss_20b
"""


# Skill metadata
SKILL_METADATA = {
    "original_id": "automation/telemetry-anomaly",
    "original_name": "Telemetry Anomaly",
    "concept": "Real-time monitoring of system metrics to detect deviations from established baselines",
    "scale_structure": {
    "L0": [
        "ingest_metric_stream: Buffer incoming time-series data points",
        "calculate_rolling_window: Compute moving averages or z-scores for current window",
        "detect_threshold_breach: Identify when metric exceeds defined static limits",
        "identify_trend_deviation: Detect slope changes or gradual drift (non-static anomalies)",
        "correlate_logs_timebox: Fetch system logs occurring within anomaly timestamp",
        "dispatch_alert_webhook: Send structured JSON payload to alerting system"
    ],
    "L1": [
        "process_metric_window: Ingest stream and calculate statistics",
        "detect_anomaly: Check thresholds and trends for anomalies",
        "alert_with_context: Correlate logs and dispatch alert"
    ],
    "L2": [
        "monitor_and_alert: Complete anomaly detection pipeline"
    ],
    "L3": [
        "automation_telemetry-anomaly_orchestrator"
    ]
},
    "skill_tree": {
    "automation/telemetry_anomaly/orchestrator": [
        "automation/telemetry_anomaly/monitor_and_alert"
    ],
    "automation/telemetry_anomaly/monitor_and_alert": [
        "automation/telemetry_anomaly/process_metric_window",
        "automation/telemetry_anomaly/detect_anomaly",
        "automation/telemetry_anomaly/alert_with_context"
    ],
    "automation/telemetry_anomaly/process_metric_window": [
        "automation/telemetry_anomaly/ingest_metric_stream",
        "automation/telemetry_anomaly/calculate_rolling_window"
    ],
    "automation/telemetry_anomaly/detect_anomaly": [
        "automation/telemetry_anomaly/detect_threshold_breach",
        "automation/telemetry_anomaly/identify_trend_deviation"
    ],
    "automation/telemetry_anomaly/alert_with_context": [
        "automation/telemetry_anomaly/correlate_logs_timebox",
        "automation/telemetry_anomaly/dispatch_alert_webhook"
    ]
},
    "model_routing": {
    "L0": {
        "text": "codegemma",
        "visual": "codegemma",
        "reasoning": "codegemma",
        "synthesis": "qwen3"
    },
    "L1": {
        "text": "qwen3",
        "visual": "qwen3",
        "reasoning": "deepseek_r1",
        "synthesis": "qwen3"
    },
    "L2": {
        "text": "qwen3",
        "visual": "qwen3",
        "reasoning": "deepseek_r1",
        "synthesis": "gpt_oss_20b"
    },
    "L3": {
        "text": "deepseek_r1",
        "visual": "deepseek_r1",
        "reasoning": "deepseek_r1",
        "synthesis": "gpt_oss_20b"
    }
},
}
