"""
S2 Decomposed: synthetic-rehearsal
==========================================

Auto-generated by S2 Auto-Decomposer.

Original skill: enterprise/synthetic-rehearsal
Scale structure:
  L0 (Micro): 7 operations
  L1 (Meso): 2 operations
  L2 (Macro): 1 operations
  L3 (Meta): 1 orchestrator

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




# Skill metadata
SKILL_METADATA = {
    "original_id": "enterprise/synthetic-rehearsal",
    "original_name": "synthetic-rehearsal",
    "scale_structure": {
    "L0": [
        "parse_json: (string): [brief description] Take a JSON-formatted string and extract structured data, returning an error if malformed.",
        "fetch_url: (url): [brief description] Retrieve content from a specified URL using HTTP/HTTPS requests.",
        "generate_persona_dict: (agent_type: str, name: str) -> dict: [brief description] Create the basic structure for an agent's persona including type and initial state.",
        "validate_condition: (condition_data): [brief description] Check if generated condition data meets required criteria (e.g., temperature threshold exceeded).",
        "extract_trigger_parameters: (trigger_template_id): [brief description] Pull relevant parameters needed to trigger a specific scenario escalation.",
        "run_synthetic_simulation: (simulation_dict): [brief description] Execute a specific simulation scenario, including running the simulation loop with escalation triggers.",
        "conduct_tabletop_exercise: (exercise_name: str) -> dict: [brief description] Bundle several L0 and L1 micros/mesos to fully simulate a scenario for UX or risk validation, including generating agents and conditions."
    ],
    "L1": [
        "run_synthetic_simulation: (simulation_dict): [brief description] Execute a specific simulation scenario, including running the simulation loop with escalation triggers.",
        "conduct_tabletop_exercise: (exercise_name: str) -> dict: [brief description] Bundle several L0 and L1 micros/mesos to fully simulate a scenario for UX or risk validation, including generating agents and conditions."
    ],
    "L2": [
        "conduct_tabletop_exercise: (exercise_name: str) -> dict: [brief description] Bundle several L0 and L1 micros/mesos to fully simulate a scenario for UX or risk validation, including generating agents and conditions."
    ],
    "L3": [
        "enterprise_synthetic_rehearsal_orchestrator"
    ]
},
    "skill_tree": {
    "enterprise/synthetic_rehearsal/orchestrator": [
        "enterprise/synthetic_rehearsal/conduct_tabletop_exercise"
    ],
    "enterprise/synthetic_rehearsal/conduct_tabletop_exercise": [
        "enterprise/synthetic_rehearsal/parse_json",
        "enterprise/synthetic_rehearsal/fetch_url",
        "enterprise/synthetic_rehearsal/generate_persona_dict"
    ],
    "enterprise/synthetic_rehearsal/run_synthetic_simulation": [
        "enterprise/synthetic_rehearsal/parse_json",
        "enterprise/synthetic_rehearsal/fetch_url",
        "enterprise/synthetic_rehearsal/generate_persona_dict"
    ]
},
    "model_routing": {
    "L0": "llava",
    "L1": "llava",
    "L2": "qwen3",
    "L3": "deepseek_r1"
},
}
