Agent skill

carbon-footprint-calculator

Logistics carbon emission tracking and reduction planning skill supporting sustainability initiatives

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/logistics/skills/carbon-footprint-calculator

Metadata

Additional technical details for this skill

domain
business
category
analytics
priority
lower
specialization
logistics
shared candidate
YES

SKILL.md

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 adoption

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results