Can I use this for standard SQL versioning?

Yes, while it includes advanced topological features, the skill provides standard SQL macros and patterns for implementing robust versioning and auditing in any DuckDB-compatible environment.

What is a bi-temporal schema pattern?

A bi-temporal schema tracks two different timelines: the 'Valid Time' (when an event actually happened in the real world) and the 'Transaction Time' (when the data was actually recorded in the database).

What is DuckDB time travel?

DuckDB time travel refers to the capability of querying a database table at a specific historical point in time or a specific snapshot version, allowing developers to see the data state exactly as it existed previously.

How does interaction color tracking work in this skill?

It uses the Gay.jl SplitMix64 algorithm to assign a deterministic hex color to every thread interaction. This creates a visual and mathematical lineage for queries, helping track the 'causality' of data changes.

Duck Time Travel

Name: Duck Time Travel
Author: plurigrid

byplurigrid

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데이터베이스 관리

Facilitates advanced temporal versioning and causality tracking within DuckDB using time-travel queries and deterministic interaction coloring.

소개

Duck Time Travel is a specialized Claude Code skill designed for developers and data scientists working with DuckDB and DuckLake environments. It enables precise querying of historical data states through snapshot versions and timestamps, while integrating a unique deterministic coloring system for tracking thread lineage and interaction causality. By implementing bi-temporal schema patterns and GF(3) conservation principles, it ensures data integrity and provides a clear audit trail for complex, evolving datasets, making it ideal for debugging regressions or maintaining historical records in analytical workflows.

주요 기능

Automated snapshot management and retrieval via DuckLake syntax
Implement bi-temporal schema patterns for both business and system time tracking
Query DuckDB tables at specific snapshot versions or precise timestamps
Deterministic interaction coloring for auditable thread lineage analysis
2 GitHub stars
GF(3) phase tracking to ensure mathematical consistency across query interactions

사용 사례

Visualizing complex agentic workflow lineages using color-coded causality streams
Auditing database state changes to identify and debug data regressions
Building bi-temporal data warehouses for regulatory compliance and history tracking

소개

주요 기능

Automated snapshot management and retrieval via DuckLake syntax
Implement bi-temporal schema patterns for both business and system time tracking
Query DuckDB tables at specific snapshot versions or precise timestamps
Deterministic interaction coloring for auditable thread lineage analysis
2 GitHub stars
GF(3) phase tracking to ensure mathematical consistency across query interactions

사용 사례

Visualizing complex agentic workflow lineages using color-coded causality streams
Auditing database state changes to identify and debug data regressions
Building bi-temporal data warehouses for regulatory compliance and history tracking