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document_structuring

Local PDF/DOCX parsing skill for Hermes → SQLite FTS5; cut context 2.7M→2.2K tokens.

D 32/100 GitHub score ?
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01 / About

About document_structuring.

Document Structuring & Management Skill (Hermes Agent) PDF & Word 文件結構化解析與管理工具

This skill parses PDF and Word (.docx) documents, slices them into structured Markdown sections based on document headings, stores the segments in a local SQLite database, and supports full-text search, TOC viewing, chunk retrieval, and cascading deletion.

本工具(Skill)專為 Hermes 代理人 (Agent) 設計,用於解析 PDF 與 Word (.docx) 文件。它能根據標題層級將長文件切割成結構化的 Markdown 區塊,存入本地 SQLite 資料庫,並支援全文檢索、目錄(TOC)檢視、特定區塊讀取以及階層式刪除。

Table of Contents / 目錄 English Guide Features Prerequisites Installation Usage Guide Database Schema 中文使用指南 功能特點 環境要求 安裝步驟 使用說明 資料庫結構 Token Economics / Token 經濟效益 Troubleshooting / 常見問題與排除

02 / Credibility

Derived from GitHub, not voted.

Public-signal score, discounted for bought-star and bot-stargazer patterns — not a user rating. How scores are calculated.

D
32/100

GitHub credibility score

  • Contributors & bus-factor — 1 recent contributor — concentrated
  • Commit recency — last commit 13d ago
  • Commit cadence — 11 commits in 90 days
  • Issue close ratio — 0% of issues closed
  • Release cadence — 0 releases in 12 months
  • Stars (log-damped) — 27 stars (log-damped)
  • Star authenticity — organic star growth — no velocity anomaly
  • Engagement-to-star ratio — engagement check skipped — low star count

03 / Discussion CREDIBILITY-GATED

Discussion · 0

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05 / Build

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