co2-carbon-footprint-datadrivenconstructi-ddc-skills-for-ai-ag
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
npx skills add majiayu000/claude-skill-registry --skill co2-carbon-footprint-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CO2 Carbon Footprint Calculator ## Business Case ### Problem Statement Sustainability requirements demand carbon tracking: - Need to quantify embodied carbon - Material selection impact unclear - Reporting requirements increasing - No integration with BIM workflow ### Solution Calculate CO2 emissions from BIM quantities using EPD (Environmental Product Declaration) data and carbon coefficients. ### Business Value - **Sustainability** - Meet green building requirements - **Design optimization** - Identify high-carbon elements - **Reporting** - Automated carbon reports - **Decision support** - Compare material alternatives ## Technical Implementation ```python import pandas as pd from datetime import datetime from typing import Dict, Any, List, Optional, Tuple from dataclasses import dataclass, field from enum import Enum class LifeCycleStage(Enum): """EN 15978 Life Cycle Stages.""" A1_A3 = "a1_a3" # Product stage A4 = "a4" # Transport to site A5 = "a5" # Construction B1_B7 = "b1_b7" # Use stage C1_C4 = "c1_c4" # End of life D = "d" # Beyond system boundary class MaterialCategory(Enum): """Material categories for carbon calculation.""" CONCRETE = "concrete" STEEL = "steel" TIMBER =
- Business Case
- Problem Statement
- Solution
- Business Value
- Technical Implementation
- Quick Start
- Common Use Cases
- 1. Material Comparison
- 2. Target Compliance
- 3. Export Report
- Resources
What does the co2-carbon-footprint-datadrivenconstructi-ddc-skills-for-ai-ag skill do?
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill co2-carbon-footprint-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.