Godners-Code/dao-zang-skill ↗★ 0
dao-zang-skill
Installable bundle contributing the DaoZang offline retrieval & original-text extraction skill to DeepSeek Harness
AI 分析
核心用途是提供完全离线的道藏文献检索与原文提取。适合需要对《中华道藏》和《正统道藏》进行关键字或语义检索的研究人员，无需联网和外部 Embedding API。
インストール
検証済み bundle がないか、互換性チェックに失敗しています。先にリポジトリの説明を読んでください。 README 全文を読む ↗
ドキュメント
README 全文を読む ↗dao-zang-skill
DaoZang offline retrieval & original-text extraction skill for DeepSeek Harness (DSH).
Search 285,117 scripture chunks of the Daoist Canon (《中华道藏》《正统道藏》) by keyword or semantics, and extract exact original text from the source Markdown with line numbers and hit markers. Fully offline — no embedding API, no network needed for retrieval.
Install
dsh plugin --profile web add dao-zang-skill
Or from source: dsh plugin --profile web add https://github.com/godners/dao-zang-skill
What you get
- text engine (default, zero deps): ChromaDB full-text filter + TF/IDF ranking
- semantic engine (optional): local bge-m3 ONNX model, same 1024-dim cosine vectors as the database
- original-text extraction (
--original): locates the hit in the raw.mdwith⟦...⟧markers and line numbers - file filter (
--source): restrict search to files whose name contains a keyword - one-click workspace setup: downloads data from the Godners/DaoZang dataset (3,152 markdown files + 6 parquet shards with bge-m3 embeddings) and rebuilds the local ChromaDB offline
Data
The workspace needs ChromaDB/ (285,117 chunks) and Markdowns/ (3,152 files).
Prepare it with:
python assets/dao-zang/scripts/setup_workspace.py --dir
See USAGE.md for details.
License
MIT