carbon-footprint-calculator
Logistics carbon emission tracking and reduction planning skill supporting sustainability initiatives
Best use case
carbon-footprint-calculator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Logistics carbon emission tracking and reduction planning skill supporting sustainability initiatives
Teams using carbon-footprint-calculator 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/carbon-footprint-calculator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How carbon-footprint-calculator Compares
| Feature / Agent | carbon-footprint-calculator | 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?
Logistics carbon emission tracking and reduction planning skill supporting sustainability initiatives
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
# Carbon Footprint Calculator
## Overview
The Carbon Footprint Calculator tracks logistics carbon emissions and supports reduction planning for sustainability initiatives. It calculates emissions across transportation modes, identifies reduction opportunities, and provides reporting capabilities for ESG compliance and stakeholder communication.
## Capabilities
- **Scope 1, 2, 3 Emission Calculation**: Calculate emissions across all scopes including direct fleet, purchased energy, and transportation
- **Mode-Specific Carbon Factors**: Apply appropriate emission factors for different transportation modes and fuel types
- **Route Carbon Optimization**: Identify lower-carbon route alternatives and mode shift opportunities
- **Carrier Sustainability Scoring**: Score and rank carriers based on sustainability performance
- **Reduction Target Tracking**: Track progress against carbon reduction targets and commitments
- **Offset Program Integration**: Integrate with carbon offset programs for net-zero strategies
- **Sustainability Reporting**: Generate reports for ESG disclosure, CDP, and stakeholder communication
## Tools and Libraries
- Carbon Calculation APIs
- Emission Factor Databases (GHG Protocol, EPA)
- ESG Reporting Tools
- Route Optimization Integration
## Used By Processes
- Route Optimization
- Distribution Network Optimization
- Carrier Selection and Procurement
## Usage
```yaml
skill: carbon-footprint-calculator
inputs:
reporting_period:
start: "2025-01-01"
end: "2025-12-31"
transportation_data:
shipments:
- mode: "truckload"
miles: 5200000
fuel_type: "diesel"
- mode: "ltl"
ton_miles: 12500000
- mode: "ocean"
teu_miles: 8500000
- mode: "air"
ton_miles: 450000
fleet_data:
owned_vehicles: 50
fuel_consumed_gallons: 625000
fuel_type: "diesel"
facility_data:
- facility: "DC001"
electricity_kwh: 2500000
natural_gas_therms: 45000
reduction_targets:
baseline_year: 2020
target_reduction_percent: 30
target_year: 2030
outputs:
emissions_summary:
total_mtco2e: 45250
scope_1: 6375
scope_2: 1250
scope_3_transportation: 37625
year_over_year_change: -3.2
emissions_by_mode:
- mode: "truckload"
mtco2e: 18500
percent: 49.2
intensity_per_mile: 0.00356
- mode: "ltl"
mtco2e: 8750
percent: 23.3
intensity_per_ton_mile: 0.0007
- mode: "ocean"
mtco2e: 5100
percent: 13.6
intensity_per_teu_mile: 0.0006
- mode: "air"
mtco2e: 5275
percent: 14.0
intensity_per_ton_mile: 0.0117
target_progress:
baseline_emissions: 55000
current_emissions: 45250
reduction_achieved_percent: 17.7
remaining_reduction_needed: 12.3
on_track: true
reduction_opportunities:
- opportunity: "Mode shift truckload to intermodal"
potential_reduction_mtco2e: 3200
cost_impact: "neutral"
implementation_timeline: "6-12 months"
- opportunity: "Electric vehicle adoption"
potential_reduction_mtco2e: 1500
cost_impact: "increase_5_percent"
implementation_timeline: "12-24 months"
carrier_sustainability_scores:
- carrier: "Eco Freight"
score: 92
certifications: ["SmartWay", "ISO14001"]
- carrier: "Standard Transport"
score: 68
certifications: ["SmartWay"]
```
## Integration Points
- Transportation Management Systems (TMS)
- Fleet Management Systems
- Facility Management Systems
- ESG Reporting Platforms
- Carbon Offset Marketplaces
## Performance Metrics
- Total carbon emissions (mtCO2e)
- Emissions intensity (per unit shipped)
- Year-over-year reduction
- Target achievement rate
- Carrier sustainability adoptionRelated Skills
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