"""
S2 Decomposed: canary-orchestration
==========================================

Auto-generated by S2 Auto-Decomposer.

Original skill: automation/canary-orchestration
Scale structure:
  L0 (Micro): 7 operations
  L1 (Meso): 3 operations
  L2 (Macro): 1 operations
  L3 (Meta): 1 orchestrator

Model routing:
  L0 -> codegemma
  L1 -> qwen3
  L2 -> qwen3
  L3 -> deepseek_r1
"""




# Skill metadata
SKILL_METADATA = {
    "original_id": "automation/canary-orchestration",
    "original_name": "canary-orchestration",
    "scale_structure": {
    "L0": [
        "parse_rollout_parameters: Parse input parameters defining rollout stages, traffic weights, and success criteria.",
        "set_health_check_thresholds: Define the specific thresholds for latency, error rate, or CPU usage based on configuration.",
        "fetch_golden_signal_data_point: Retrieve a single data point (e.g., average latency) from monitoring tools for a given metric at a specified time.",
        "parse_monitoring_system_config: Interpret configuration details of the monitoring system to determine how metrics are collected and reported.",
        "orchestrate_rollout_stage_step: Execute one step within a rollout stage, including shifting traffic according to defined weight and applying health gates by checking thresholds.",
        "analyze_stage_health_gates: Evaluate the results of golden signal checks against success/failure thresholds for an entire completed rollout stage.",
        "plan_canary_rollout_strategy: Bundle 'define_rollout_stages' and 'configure_rollback_triggers' to create a complete, documented rollout strategy including all parameters and guardrails."
    ],
    "L1": [
        "orchestrate_rollout_stage_step: Execute one step within a rollout stage, including shifting traffic according to defined weight and applying health gates by checking thresholds.",
        "analyze_stage_health_gates: Evaluate the results of golden signal checks against success/failure thresholds for an entire completed rollout stage.",
        "plan_canary_rollout_strategy: Bundle 'define_rollout_stages' and 'configure_rollback_triggers' to create a complete, documented rollout strategy including all parameters and guardrails."
    ],
    "L2": [
        "plan_canary_rollout_strategy: Bundle 'define_rollout_stages' and 'configure_rollback_triggers' to create a complete, documented rollout strategy including all parameters and guardrails."
    ],
    "L3": [
        "automation_canary_orchestration_orchestrator"
    ]
},
    "skill_tree": {
    "automation/canary_orchestration/orchestrator": [
        "automation/canary_orchestration/plan_canary_rollout_strategy"
    ],
    "automation/canary_orchestration/plan_canary_rollout_strategy": [
        "automation/canary_orchestration/parse_rollout_parameters",
        "automation/canary_orchestration/set_health_check_thresholds",
        "automation/canary_orchestration/fetch_golden_signal_data_point"
    ],
    "automation/canary_orchestration/orchestrate_rollout_stage_step": [
        "automation/canary_orchestration/parse_rollout_parameters",
        "automation/canary_orchestration/set_health_check_thresholds",
        "automation/canary_orchestration/fetch_golden_signal_data_point"
    ],
    "automation/canary_orchestration/analyze_stage_health_gates": [
        "automation/canary_orchestration/parse_rollout_parameters",
        "automation/canary_orchestration/set_health_check_thresholds",
        "automation/canary_orchestration/fetch_golden_signal_data_point"
    ]
},
    "model_routing": {
    "L0": "codegemma",
    "L1": "qwen3",
    "L2": "qwen3",
    "L3": "deepseek_r1"
},
}
