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Open Data Discovery

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@opendatadiscovery · United States of America

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35Public Repos
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9Published Skills

First open-source data discovery and observability platform

Skills Distribution
DomainData Systems...Data Observability (40%)Repository Auditing (30%)Backlog Management (30%)

Agent Skills by Open Data Discovery

Showing 9 vetted skills indexed across 1 GitHub repositories.

Frequently Asked Questions About Open Data Discovery

FAQPage Schema
What specific tasks does Open Data Discovery enable for data engineers?

Open Data Discovery enables engineers to perform systematic repository auditing, track implementation progress via status manifests, and convert raw scanner findings into structured backlog items. It facilitates the maintenance of data observability standards by validating work against quality gates and providing clear visibility into system state and coverage.

Who is the target persona for these repository management capabilities?

The target personas are data engineers, platform architects, and technical leads responsible for maintaining large-scale data ecosystems. These individuals utilize the platform to ensure repository health, manage technical debt, and coordinate complex multi-repository updates while adhering to established quality and compliance standards.

What are the prerequisites for running Open Data Discovery audit scanners?

Prerequisites include access to the target repository codebase and familiarity with the ODD navigation index. Users must ensure their environment supports the execution of audit scanners and the generation of YAML-formatted issue drafts, while maintaining alignment with the project's Gate 9 citation requirements for all validated work items.