drin-data-lineage-tracker

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Atualizado10 de abril de 2026 às 21:33

Tracking system for the origin, transformation, and destination of data within complex pipelines.

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Fonte

pedrol-cmd

pedrol-cmd/brain-drin

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Arquitetos de banco de dadosInformática e Matemática·SOC 15-1243

SKILL.md

readonly

name	drin-data-lineage-tracker
description	Tracking system for the origin, transformation, and destination of data within complex pipelines.
status	production

Data Lineage Tracker

Purpose

To ensure data transparency, audits, and reliability by mapping every step of a data's life-cycle.

Components

Source: Where did this data come from (e.g., Scraper, User Form, 3rd party API)?
Transformation: What code/model modified it? (Reference to specific script/version).
Storage: Where is it living now (e.g., Postgres, S3, Vector DB)?
Consumer: Who/what is using this data?

Rules

Every data point must have a source_id and timestamp.
Changes to transformation logic must trigger a lineage audit.
Document the "Trust Level" for each data source.

subagents:

data-engineer
legal-compliance

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name	drin-data-lineage-tracker
description	Tracking system for the origin, transformation, and destination of data within complex pipelines.
status	production

Data Lineage Tracker

Purpose

To ensure data transparency, audits, and reliability by mapping every step of a data's life-cycle.

Components

Source: Where did this data come from (e.g., Scraper, User Form, 3rd party API)?
Transformation: What code/model modified it? (Reference to specific script/version).
Storage: Where is it living now (e.g., Postgres, S3, Vector DB)?
Consumer: Who/what is using this data?

Rules

Every data point must have a source_id and timestamp.
Changes to transformation logic must trigger a lineage audit.
Document the "Trust Level" for each data source.

subagents:

data-engineer
legal-compliance