analyzing-carbon-footprints
Structures carbon footprint analysis with Scope 1/2/3 measurement and intensity benchmarking. Use when measuring carbon emissions, analyzing Scope 3, or benchmarking carbon intensity.
Best use case
analyzing-carbon-footprints is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures carbon footprint analysis with Scope 1/2/3 measurement and intensity benchmarking. Use when measuring carbon emissions, analyzing Scope 3, or benchmarking carbon intensity.
Teams using analyzing-carbon-footprints should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-carbon-footprints/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-carbon-footprints Compares
| Feature / Agent | analyzing-carbon-footprints | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structures carbon footprint analysis with Scope 1/2/3 measurement and intensity benchmarking. Use when measuring carbon emissions, analyzing Scope 3, or benchmarking carbon intensity.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing Carbon Footprints ## When To Use - Measuring a company's or portfolio's greenhouse gas (GHG) emissions across Scope 1, 2, and 3 - Benchmarking carbon intensity (tCO2e per $M revenue, per unit produced, or per square foot) - Evaluating Scope 3 supply-chain or financed-emissions exposure for investment decisions - Preparing data for TCFD, CDP, CSRD, or SEC climate-related disclosures [VERIFY: applicable disclosure framework] - Comparing portfolio holdings against sector decarbonization pathways (e.g., SBTi, IEA Net Zero) ## Inputs To Gather - **Entity scope**: company name, ticker, GICS sector/sub-industry, reporting boundary (operational control vs. equity share) - **Emissions data sources**: sustainability reports, CDP responses, annual reports, GHG inventories, third-party databases (e.g., MSCI, ISS, Trucost, Bloomberg) - **Scope 1 data**: direct fuel combustion, fleet, fugitive emissions, process emissions (with fuel types and volumes if available) - **Scope 2 data**: purchased electricity, steam, heating, cooling — obtain both location-based and market-based figures - **Scope 3 categories**: identify which of the 15 GHG Protocol categories are material — at minimum review purchased goods/services (Cat 1), capital goods (Cat 2), fuel- and energy-related activities (Cat 3), upstream transportation (Cat 4), use of sold products (Cat 11), and investments/financed emissions (Cat 15) - **Normalization denominators**: revenue, EVIC, production units, headcount, or square footage for intensity calculations - **Temporal scope**: reporting year(s), base year for trajectory analysis - **Peer set**: comparable companies or sector averages for benchmarking ## Workflow 1. **Classify emission scopes** - Map each data point to Scope 1, 2 (location-based and market-based), or the relevant Scope 3 category per the GHG Protocol Corporate Standard - Flag any category where data is estimated vs. measured; note the estimation methodology (spend-based, activity-based, supplier-specific) 2. **Aggregate and convert to CO2-equivalent** - Apply GWP factors from the appropriate IPCC Assessment Report [VERIFY: AR5 vs. AR6 GWP values per reporting framework requirements] - Sum emissions in metric tonnes CO2e (tCO2e) by scope and category - If partial data exists, document gap-filling assumptions (e.g., extrapolation, sector-average emission factors) 3. **Calculate intensity metrics** - Revenue intensity: tCO2e / $M revenue - EVIC intensity: tCO2e / $M enterprise value including cash (for financed-emissions analysis per PCAF) - Physical intensity: tCO2e / unit of output (sector-specific — MWh for utilities, tonne of product for materials) - Compare against sector median, top-quartile, and Paris-aligned benchmarks 4. **Analyze Scope 3 materiality** - Rank Scope 3 categories by absolute emissions contribution - Identify the top 3-5 categories driving total footprint - Assess data quality per PCAF scoring (1 = verified, 5 = estimated) for each category - Highlight where supplier-specific data could replace spend-based estimates 5. **Benchmark and trajectory analysis** - Compare entity's absolute and intensity metrics to sector peers and index averages - Plot historical trend (minimum 3 years if available) and calculate year-over-year change rate - Assess alignment with decarbonization pathways: SBTi sectoral targets, IEA Net Zero 2050, or national NDC targets [VERIFY: relevant pathway for entity's sector] - Flag whether the entity has a validated science-based target, net-zero commitment, or interim milestones 6. **Identify risks and opportunities** - Carbon pricing exposure: estimate potential cost under $50, $100, $150/tCO2e scenarios [VERIFY: applicable carbon pricing regime] - Transition risk: high-intensity operations, stranded asset potential, regulatory timeline - Opportunity signals: declining intensity trend, renewable energy procurement, credible reduction roadmap ## Output Structure the analysis report as follows: - **Executive Summary**: total footprint (tCO2e), scope breakdown (pie chart data), headline intensity metric, peer ranking, trajectory assessment (on-track / lagging / no target) - **Scope Breakdown Table**: Scope 1, Scope 2 (location and market), Scope 3 by category — absolute and percentage of total - **Intensity Benchmarking**: entity vs. sector median, top quartile, and Paris-aligned threshold - **Scope 3 Deep Dive**: materiality ranking, data quality scores, key hotspot categories - **Trajectory & Target Assessment**: historical trend, forward-looking pathway alignment, gap to target - **Risk Quantification**: carbon price sensitivity, regulatory exposure summary - **Data Quality & Limitations**: sources used, estimation methods, coverage gaps, confidence level per scope ## Quality Checks - Scope 1 + Scope 2 totals cross-referenced against at least two independent sources (e.g., CDP vs. sustainability report) - Scope 2 reports both location-based and market-based figures — do not default to one without noting the other - Scope 3 categories explicitly marked as "reported," "estimated," or "not assessed" — never leave gaps silent - Intensity denominators match the reporting period of emissions data (no mixing FY2023 emissions with FY2024 revenue) - GWP conversion factors cited with specific IPCC AR version - All estimated or gap-filled data points flagged with [VERIFY] or stated confidence interval - Peer benchmarks use consistent scope boundaries (e.g., all Scope 1+2, or all Scope 1+2+3) — do not compare mismatched scopes - Carbon pricing scenario assumptions stated explicitly (price per tonne, year, jurisdiction)