carbon.data.qa

Query emissions data by asking plain-English questions about activities, factors, and carbon footprints. The Skill processes your query against internal datasets, performs unit-aware calculations, and returns precise answers with cited sources, data vintage, and scope details—no manual lookups required.

Yes, unit conversions are automatic. The Skill handles conversions like kWh to kgCO2e and other emissions units, ensuring results maintain correct units (tCO2e, kgCO2e) and source citations for full auditability.

Every answer includes source citations, data vintage year, and scope breakdown. This ensures you can audit emissions answers, understand which datasets were queried, verify calculation layers, and confirm when data was last updated.

Ask comparative questions directly—for example, 'Compare emissions: cloud storage vs streaming.' The Skill queries datasets across layers and sectors, applies consistent units, and returns contextualized comparisons with provenance, saving hours of manual data digging.

The Skill surfaces clarifying questions to resolve ambiguity before returning answers. This ensures results match your intent and prevents incorrect emissions calculations or misaligned scope assumptions.

Yes, the Skill operates on pandas and PyYAML dependencies in a read-only data environment, querying from data/ directories and internal tools. It integrates with existing carbon accounting dataset structures without modifying source files.