Skip to content
cccskills
FreePublished on GitHub

embodied-carbon-esg

Estimate embodied carbon and produce ESG/climate reporting for construction: LCA per work item, material-based carbon factors, EU taxonomy and CSRD alignment. Use when a project needs carbon estimates or sustainability reporting.

The English summary is being prepared. Showing the original description.

Run score Not tested

See how to install

Files included (1)

  • SKILL.md2.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Embodied Carbon & ESG for Construction (2026)

Why it matters now

From 2026 the EU CSRD (Corporate Sustainability Reporting Directive) and EU Taxonomy force contractors and developers to report embodied carbon (A1–A5 life-cycle modules), not just operational energy. Estimators need carbon numbers next to price numbers at the BOQ line level.

Method

Carbon = quantity × carbon factor, applied per material resource line — exactly parallel to quantity × unit price = cost.

work item → components[] → material lines → quantity × EF (kg CO₂e / unit) → line carbon
BOQ roll-up: Σ line carbon = project embodied carbon (A1–A3) + transport/waste (A4–A5)

Data sources for factors

SourceCoverageLicense
ÖKOBAUDAT (DE)building materialsopen
INIES (FR) FDESproductsopen
ICE Database (UK)embodied carbonfree registration
EPD libraries (ECO Platform)manufacturer EPDsvaries

The CWICR bases already carry per-resource quantity and unit — attach an EF (kg CO₂e/unit) column for the materials and the roll-up is automatic.

What to compute per project

  • A1–A3 embodied carbon per BOQ section and per trade (from material lines).
  • A4–A5 transport + site waste assumptions (distance bands, waste rates per material).
  • kg CO₂e / m² and / m³ intensity benchmarks for early design.
  • Hotspot report: top 10 carbon lines (usually concrete, steel, aluminium, insulation).

EU Taxonomy / CSRD alignment

  • Map each work item to the taxonomy activity (construction of new buildings 7.1, renovation 7.2, …).
  • Report DNSH (Do No Significant Harm) screening: circularity, waste, water for the top materials.
  • Keep the evidence trail: factor source + version per line (auditors ask).

Honest limits

  • Carbon factors are regional and versioned — never mix databases without noting it.
  • BIM takeoff gives geometry; carbon needs material takeoff (from CWICR resource_name + resource_quantity).
  • Early-phase estimates are ±30–50%; label them as such.

Resources

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Create 4D construction simulations by linking BIM elements to project schedules. Generate time-based visualizations, sequence analysis, and construction phasing with Gantt integration.

The English summary is being prepared. Showing the original description.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction371Updated Oct 20, 2026

Analyze 5000+ IFC and Revit projects at scale for patterns, benchmarks, and insights. Big data analysis for construction.

The English summary is being prepared. Showing the original description.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction371Updated Oct 20, 2026

Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.

The English summary is being prepared. Showing the original description.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction371Updated Oct 20, 2026

Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.

The English summary is being prepared. Showing the original description.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction371Updated Oct 20, 2026

Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.

The English summary is being prepared. Showing the original description.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction371Updated Oct 20, 2026

Manage as-built documentation for project closeout. Track drawing markups, coordinate updates, and verify completeness.

The English summary is being prepared. Showing the original description.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction371Updated Oct 20, 2026

See all skills by datadrivenconstruction

Report a problem with this skill