What is the SCI formula used by this skill?

The Software Carbon Intensity (SCI) formula calculates carbon emissions per functional unit by aggregating energy consumption (E), grid carbon intensity (I), and embodied hardware carbon (M).

Can I use this for non-cloud software systems?

While it features cloud-specific optimizations, the core energy efficiency and coding patterns apply to any software system looking to reduce resource consumption.

Does this skill follow industry standards?

Yes, all guidance and assessments are based on the Green Software Foundation's core principles and the official SCI specification.

How does this skill help reduce software carbon emissions?

It identifies carbon hotspots in your architecture, recommends greener cloud regions, and provides concrete code patterns for demand shifting to low-intensity periods.

Green Software Assessment & Optimization

Name: Green Software Assessment & Optimization
Author: melodic-software

bymelodic-software

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Cloud Infrastructure

Conducts sustainability assessments and implements energy-efficient coding patterns based on Green Software Foundation standards.

About

The Green Software skill empowers developers to quantify and reduce the environmental impact of their software systems. By applying Green Software Foundation principles and the Software Carbon Intensity (SCI) specification, it helps identify carbon hotspots, suggest energy-efficient infrastructure regions, and implement carbon-aware programming patterns like demand shifting and shaping. This skill is essential for engineering teams aiming to meet net-zero goals, optimize compute resource utilization, and build sustainable, high-performance digital products.

Key Features

Cloud region carbon intensity analysis and relocation recommendations
Comprehensive sustainability assessment templates for complex systems
Energy-efficient coding implementations such as lazy evaluation and batching
Software Carbon Intensity (SCI) calculation and benchmarking
5 GitHub stars
Carbon-aware design patterns including demand shifting and shaping

Use Cases

Implementing carbon-aware scheduling for background processing and batch jobs
Evaluating and auditing the carbon footprint of cloud-native architectures
Optimizing software resource utilization to reduce environmental impact and operational costs

About

Key Features

Cloud region carbon intensity analysis and relocation recommendations
Comprehensive sustainability assessment templates for complex systems
Energy-efficient coding implementations such as lazy evaluation and batching
Software Carbon Intensity (SCI) calculation and benchmarking
5 GitHub stars
Carbon-aware design patterns including demand shifting and shaping

Use Cases

Implementing carbon-aware scheduling for background processing and batch jobs
Evaluating and auditing the carbon footprint of cloud-native architectures
Optimizing software resource utilization to reduce environmental impact and operational costs