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Zizhi Tongjian Vol. I – Codex Skill

A specialized skill providing a 27-chapter knowledge base and 15 validated analysis methods for studying Zizhi Tongjian (Vol. I) via AI coding agents.

What is Zizhi Tongjian Vol. I – Codex Skill?

This skill equips AI coding agents (e.g., Codex, Claude, Cursor) with a curated knowledge base covering 27 chapters of the first volume of Zizhi Tongjian (《资治通鉴》), a seminal Chinese historical chronicle. It also includes 15 validated analytical methods for tasks such as historical event extraction, character relation mapping, temporal reasoning, and textual verification. Designed for researchers, historians, and developers working on historical data analysis, the skill enables agents to answer questions, generate summaries, and perform structured queries directly from the classical text. It supports integration with standard AI agent platforms and enhances the agent's ability to process classical Chinese with high accuracy.

Works with~Claude Code✓Codex CLI~Cursor
npx skills add SherryCW/zztj

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Documentation

What does Zizhi Tongjian Vol. I – Codex Skill do?

Zizhi Tongjian Vol. I – Codex Skill: 27-chapter knowledge base + 15 validated analysis methods

This skill provides a comprehensive knowledge base for the first volume of Zizhi Tongjian (《资治通鉴》), an authoritative Chinese historical text. It offers 27 chapters of curated content alongside 15 verified analytical techniques for extracting insights, validating historical claims, and conducting structured research.

Features

  • 27-chapter knowledge base: Covers key historical periods from the first volume, with indexed content for efficient retrieval.
  • 15 validated analysis methods: Pre-tested approaches for tasks such as entity extraction, chronology verification, and cross-referencing.
  • Agent-ready: Designed for use with AI coding agents (e.g., Codex, Claude Code, Cursor) to assist with historical research.

Usage

Integrate this skill into your AI agent workflow by loading the knowledge base and invoking the provided methods. For example:

# Example: Querying a historical event
skill = load_skill("SherryCW/zztj")
result = skill.query("What events are recorded in Chapter 5?")

Requirements

  • Compatible with AI coding environments that support custom skill loading.
  • No additional dependencies beyond standard Python libraries.

License

Refer to the original repository for licensing details.

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