"""
Unknown
=======

Synthesized skill

Gap Addressed: abstract_synthesis
Synthesized from: 2 agents
Confidence: 0.40
"""

from typing import Any, Dict, List
from skills.base import Skill, SkillMetadata, SkillResult, SkillContext, SkillCategory
from agents.model_router import query_creative, query_reasoning, query_synthesis

class SynthesizedSkill(Skill):
    """Auto-synthesized skill for abstract_synthesis"""

    IMPLEMENTATION = """
Core Approach: 

Patterns to Apply:
- domain mapping
- cross-layer translation
- pattern extraction
- edge-case and failure review
- actionable mapping

Model: qwen3
Gap: abstract_synthesis

Effective Prompt Patterns:
- What software artifact behaves like this biological concept?
- What software principle can be borrowed from this biological concept?
- How can we leverage this pattern in a software architecture?
"""

    def metadata(self) -> SkillMetadata:
        return SkillMetadata(
            id="synth-abstract_synthesis-a818cc",
            name="Unknown",
            description="Synthesized skill",
            category=SkillCategory.CODE,
        )

    def capabilities(self) -> List[Dict]:
        return [
            
        ]

    def input_schema(self) -> Dict[str, Any]:
        return {
            "type": "object",
            "properties": {
                "task": {"type": "string", "description": "The task to perform"},
                "context": {"type": "object", "description": "Additional context"}
            },
            "required": ["task"]
        }

    def execute(self, input_data: Dict[str, Any], context: SkillContext) -> SkillResult:
        task = input_data.get("task", "")
        ctx = input_data.get("context", {})

        prompt = f"""You are executing the Unknown skill.

Implementation guidance:
{self.IMPLEMENTATION}

Task: {task}
Context: {ctx}

Apply the patterns and approach described above to solve this task.
Be specific and actionable."""

        # Use synthesis model for complex gaps
        result = query_synthesis(prompt, max_tokens=1000, timeout=120)

        return SkillResult(
            success=bool(result),
            output=result,
            skill_id=self.metadata().id,
        )
