What are ACSets in this context?

ACSets (Attributed Category Sets) are mathematical structures used by this skill to automatically generate robust DuckDB table schemas and constraints from abstract definitions.

What is DuckDB TimeTravel?

It is a Claude Code skill that adds temporal versioning, category-theoretic schema generation, and data snapshot management to DuckDB workflows.

How do I query historical data using this skill?

You can use SQL syntax like 'AT (VERSION => n)' or 'AS OF TIMESTAMP' to query the state of your data at any specific point in history.

Can I compare different versions of my database?

Yes, the skill provides a diffing capability that identifies added, modified, or deleted records and schema changes between any two checkpoints.

What is GF(3) integration used for?

GF(3) integration uses trit-based logic (-1, 0, 1) to verify data conservation and ensure compositional coherence across data streams.

DuckDB TimeTravel & ACSet Schema

Name: DuckDB TimeTravel & ACSet Schema
Author: plurigrid

byplurigrid

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데이터베이스 관리

Manages temporal versioning and generates relational schemas from category-theoretic ACSet definitions within DuckDB.

duckdb-timetravel is a specialized Claude Code skill designed for advanced database management, enabling temporal versioning and schema generation for DuckDB. It allows developers to perform 'time travel' queries to access historical data states, manage checkpoints for data snapshots, and automatically derive DuckDB schemas from Applied Category Set (ACSet) definitions. By incorporating GF(3) trit logic for data flow coordination, this skill is particularly effective for scientific computing, complex data lineage tracking, and maintaining structural consistency across evolving datasets.

주요 기능

01Detailed data diffing between database versions and snapshots

02Temporal 'time travel' querying using DuckLake-style snapshots

03GF(3) color stream tracking for verifiable data evolution

04Comprehensive version management including checkpoints and restoration

05Automated schema generation from ACSet category definitions

062 GitHub stars

사용 사례

01Debugging data pipelines by comparing state changes across specific checkpoints

02Generating complex relational schemas from high-level mathematical category definitions

03Auditing and tracking historical changes in complex scientific or financial datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi duckdb-timetravel

For use in Claude.ai and ChatGPT

Download Skill