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carbon.data.qa

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Instantly query carbon data, get precise answers.

Data & Analytics#analytics#sustainability#provenance#carbon accounting#data query#emissions#environmental
Authorchrislyons
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Manually sifting through carbon accounting datasets to answer specific analytical questions is time-consuming and error-prone. This skill allows you to query your carbon data using natural language, providing instant, accurate, and cited answers.

Core Features & Use Cases

  • Natural Language Queries: Ask questions about emissions, activities, and factors in plain English.
  • Unit-Aware Calculations: Automatically performs calculations and provides results with correct units (tCO2e, kgCO2e).
  • Source & Provenance Tracking: Every answer includes data sources and vintage, ensuring auditability.
  • Use Case: A sustainability analyst needs to quickly compare emissions from cloud storage vs. streaming. Instead of manual lookups, they ask, "Compare emissions: cloud storage vs streaming," and get a contextualized answer, saving hours of data digging and letting "AI works, you rest."

Quick Start

Example: Basic Emission Factor Query

User: "What's the emission factor for a cup of coffee?"

Output:

Coffee Emission Factor:

- Activity: FOOD.COFFEE.CUP.HOT (12 oz hot coffee cup)

- Emission Factor: 0.021 kgCO2e/cup

- Source: [SRC_FOOD_2023] Coffee supply chain LCA

- Vintage: 2023

- Scope: Includes bean production, roasting, brewing, waste

Dependency Matrix

Required Modules

pandasPyYAML

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: carbon.data.qa
Download link: https://github.com/chrislyons/carbon-acx/archive/main.zip#carbon-data-qa

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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