What are the storage requirements for this skill?

The compressed database is approximately 69 MB, expanding to roughly 556 MB after extraction and indexing.

Can I export data for external analysis?

Yes, you can export kinship and association networks in GEXF, CSV, and JSON formats for use in software like Gephi.

How does cbdb-local differ from cbdb-api?

cbdb-local runs entirely on your machine after a one-time setup, offering much faster performance and raw SQL query support without network latency or API rate limits.

What historical period does the database cover?

It covers historical figures from the 7th century BCE through the 19th century CE, with particularly strong coverage of the Tang through Qing dynasties.

Do I need to know SQL to use this skill?

No, the skill provides high-level commands for searching people, kinship, and offices, though raw SQL support is available for advanced research.

CBDB Local (SQLite)

Name: CBDB Local (SQLite)
Author: kltng

bykltng

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データベース管理

Accesses and analyzes the China Biographical Database (CBDB) locally for deep historical research on over 656,000 Chinese figures.

This skill integrates the China Biographical Database (CBDB) directly into your workflow via a local SQLite instance, enabling fast, offline querying of historical Chinese biographical data spanning the 7th century BCE to the 19th century CE. It provides powerful tools for searching individuals, mapping kinship networks, tracing official careers, and visualizing social associations without network latency. With support for raw SQL queries and network exports for Gephi, it is an essential tool for digital humanities scholars and researchers conducting complex prosopographical or social network analysis on Imperial China.

主な機能

01Network export capabilities (GEXF, CSV, JSON) for advanced Gephi analysis

02Raw SQL query support for complex, cross-dynasty data analysis

03Comprehensive biographical data including kinship, offices, associations, and texts

041 GitHub stars

05Local SQLite access for fast, offline querying of 656K+ historical figures

06Built-in kinship tree visualization using Graphviz and Mermaid formats

ユースケース

01Performing complex prosopographical research using custom SQL joins on denormalized tables

02Conducting batch analysis on official career paths and geographic distributions

03Generating social network graphs and family trees for historical Chinese scholars

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kltng/humanities-skills cbdb-local

For use in Claude.ai and ChatGPT