co2-carbon-footprint-datadrivenconstructi-ddc-skills-for-ai-ag-2

npx skills add majiayu000/claude-skill-registry --skill co2-carbon-footprint-datadrivenconstructi-ddc-skills-for-ai-ag-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# CO2 Carbon Footprint Tracker ## Technical Implementation ```python import pandas as pd from datetime import date from typing import Dict, Any, List from dataclasses import dataclass, field from enum import Enum class EmissionScope(Enum): SCOPE_1 = "scope_1" # Direct emissions SCOPE_2 = "scope_2" # Indirect from energy SCOPE_3 = "scope_3" # Value chain emissions class MaterialCategory(Enum): CONCRETE = "concrete" STEEL = "steel" ALUMINUM = "aluminum" TIMBER = "timber" GLASS = "glass" INSULATION = "insulation" OTHER = "other" @dataclass class EmissionFactor: material: str category: MaterialCategory factor: float # kg CO2e per unit unit: str source: str @dataclass class EmissionEntry: entry_id: str material: str quantity: float unit: str emission_factor: float total_kgco2: float scope: EmissionScope lifecycle_stage: str # A1-A3, A4, A5, etc. class CarbonFootprintTracker: def __init__(self, project_name: str, gfa_m2: float): self.project_name = project_name self.gfa_m2 = gfa_m2 self.entries: List[EmissionEntry] = [] self.factors = self._load_default_factors() self._counter = 0 def _load_default_factors(self) -> Dict[str, EmissionFactor]: factors = { 'concrete_m3': EmissionFactor('Con