How do I query historical data using this skill?

You can use the AT (VERSION => X) or AS OF TIMESTAMP SQL syntax provided by the skill's temporal-query capability to access data as it existed in the past.

Does it support database restoration?

Yes, the version-management capability allows you to create checkpoints and restore your DuckDB database to any previous version ID or state.

What is GF(3) integration?

It is a feature for tracking and verifying data flow conservation within topological data structures, ensuring compositional coherence in complex scientific data streams.

What are ACSets in this context?

ACSets (attributed C-sets) are used to define database schemas using category theory. This skill automatically translates those definitions into standard DuckDB SQL tables and relationships.

What is DuckDB Time Travel?

It is a specialized Claude Code skill that adds temporal versioning, snapshotting, and categorical schema generation capabilities to DuckDB instances.

DuckDB Time Travel

Name: DuckDB Time Travel
Author: plurigrid

byplurigrid

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数据库管理

Enables temporal versioning, historical querying, and categorical schema generation for DuckDB databases.

关于

DuckDB Time Travel is a specialized Claude Code skill that provides robust temporal versioning and historical state management for DuckDB. It allows developers to perform DuckLake-style snapshots, query data at specific points in time, and manage database checkpoints with ease. A unique feature of this skill is its integration with ACSet definitions, allowing for the automatic generation of relational schemas from category theory specifications and the tracking of GF(3) color stream evolution, making it an essential tool for scientific computing and complex data lineage workflows.

主要功能

DuckLake-style temporal SQL queries for historical data access
2 GitHub stars
Version diffing to track data and schema changes across snapshots
Automated version management and database checkpoints
ACSet schema generation from category theory definitions
GF(3) color stream tracking for topological data flow coordination

使用场景

Auditing data evolution and restoring previous database states for reproducibility
Generating complex relational schemas from mathematical ACSet definitions
Tracking and verifying data flow conservation in scientific pipelines

关于

主要功能

DuckLake-style temporal SQL queries for historical data access
2 GitHub stars
Version diffing to track data and schema changes across snapshots
Automated version management and database checkpoints
ACSet schema generation from category theory definitions
GF(3) color stream tracking for topological data flow coordination

使用场景

Auditing data evolution and restoring previous database states for reproducibility
Generating complex relational schemas from mathematical ACSet definitions
Tracking and verifying data flow conservation in scientific pipelines