Carbon Footprint Estimator
SkillDev toolsEstimates company carbon footprint and environmental impact
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Carbon Footprint Estimator skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/venture-capital/skills/carbon-footprint-estimator/SKILL.md and read by ahel’s review.
Overview
The Carbon Footprint Estimator skill provides detailed estimation of company carbon footprints and environmental impact for ESG due diligence. It calculates Scope 1, 2, and 3 emissions and projects environmental impact trajectories.
Capabilities
Scope 1 Emissions (Direct)
- Estimate emissions from owned facilities
- Calculate fleet and vehicle emissions
- Assess process emissions from operations
- Account for fugitive emissions
Scope 2 Emissions (Indirect - Energy)
- Calculate purchased electricity emissions
- Estimate heating and cooling emissions
- Assess renewable energy usage
- Apply location vs. market-based methods
Scope 3 Emissions (Value Chain)
- Estimate supply chain emissions
- Calculate business travel impact
- Assess employee commuting
- Evaluate product use and end-of-life
Impact Analysis
- Benchmark against industry standards
- Project emissions trajectory
- Model reduction scenarios
- Calculate carbon intensity metrics
Usage
Estimate Carbon Footprint
Input: Company operations data, energy usage
Process: Apply emission factors, calculate totals
Output: Carbon footprint by scope, total CO2e
Benchmark Emissions
Input: Company footprint, industry sector
Process: Compare against benchmarks
Output: Benchmark comparison, percentile ranking
Project Trajectory
Input: Current footprint, growth plans
Process: Model future emissions scenarios
Output: Trajectory projection, growth-adjusted
Model Reduction Scenarios
Input: Current state, reduction initiatives
Process: Calculate reduction impact
Output: Scenario analysis, pathway to goals
Emission Categories
| Scope | Categories | Data Sources |
|---|---|---|
| Scope 1 | Facilities, vehicles, processes | Fuel usage, fleet data |
| Scope 2 | Electricity, heating | Utility bills, provider mix |
| Scope 3 | Supply chain, travel, commuting | Spend data, travel records |
Integration Points
- ESG Scorer: Feed emissions data into ESG scores
- ESG Due Diligence: Core environmental analysis
- ESG Analyst (Agent): Support environmental assessment
- Portfolio Value Creation: Track reduction initiatives
Calculation Standards
- Greenhouse Gas Protocol (GHG Protocol)
- Science Based Targets initiative (SBTi)
- CDP (Carbon Disclosure Project)
- ISO 14064 GHG accounting standards
Best Practices
- Prioritize Scope 1 and 2 for direct control
- Use sector-appropriate emission factors
- Distinguish location vs. market-based Scope 2
- Focus Scope 3 on material categories
- Track intensity metrics (per revenue, per employee)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
carbon-footprint-estimator- Source
- github.com/a5c-ai/babysitter
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