generate-match-report

To automate a dataset overlap comparison, this Skill translates a natural-language question into a production-grade Narrative workflow, validating identifier coverage and optionally attaching enrichment data before submitting the run.

A marketplace match-report workflow compares your dataset against a partner's data using NQL, generating a configured workflow with pre-flight validation, histogram-based identifier checks, and a final summary of data coverage and overlap.

You validate identifier coverage using built-in pre-flight checks that perform upfront NQL validation and histogram-based id-type checks, ensuring your dataset has sufficient overlap before submitting the workflow.

Yes, you can optionally attach an enrichment AR to the workflow during configuration, allowing the match-report to include additional data attributes alongside the core overlap and coverage analysis.

No, you do not need to write NQL manually; the Skill translates your natural-language question into the required NQL workflow, handling the configuration, validation, and submission automatically.

If required tools or services are missing, the Skill uses fallback harnesses to handle the gaps without breaking the user flow, allowing the match-report generation process to continue safely.