/install ancient-term-normalization
Ancient Term Normalisation Skill
When to use
Use this skill when you have a list of characters or terms recognised from manuscripts and want to generate possible aliases, alternative spellings or historical equivalents. This is useful for search and retrieval because many names and states have variant forms in historical sources.
How it works
- Input – Provide a path to a JSON file containing recognised characters and their confidence scores. The input must follow the schema defined in
assets/schemas/recognized_chars.schema.json. - Lookup – The script loads a YAML file of alias rules (
assets/data/historical_aliases.yaml) where each key maps to a list of standardised forms. If a character is absent from the mapping, it is preserved as its own normalised form. - Output – A JSON file is written to the
term_normalisation/folder in the workspace. Each entry contains the original character, the list of normalised forms, the entity type, notes and the original confidence score. The output conforms toassets/schemas/normalized_terms.schema.json.
Files produced
Outputs reside under term_normalisation/ in the workspace:
normalized_terms.json– list of normalised term objects.
References
- See
references/REFERENCE.mdfor input and output schema details. - See
assets/data/historical_aliases.yamlfor the mapping of historical names to standardised forms.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install ancient-term-normalization - 安装完成后,直接呼叫该 Skill 的名称或使用
/ancient-term-normalization触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
ancient-term-normalization 是什么?
Normalises recognised characters or words from ancient manuscripts and excavated texts by mapping them to standardised forms. Use this skill after OCR or cha... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 68 次。
如何安装 ancient-term-normalization?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ancient-term-normalization」即可一键安装,无需额外配置。
ancient-term-normalization 是免费的吗?
是的,ancient-term-normalization 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
ancient-term-normalization 支持哪些平台?
ancient-term-normalization 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 ancient-term-normalization?
由 Shan Mu(@aricgamma)开发并维护,当前版本 v1.0.4。