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document-inventory文件清单

Agent Skill

document-inventory 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

582

周安装

24

GitHub Stars

8

下载量

190
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:document-inventory(文件清单)
来源仓库:https://github.com/vamseeachanta/workspace-hub
仓库路径:skills/document-inventory
安装命令:
npx skills add https://github.com/vamseeachanta/workspace-hub --skill document-inventory
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/vamseeachanta/workspace-hub --skill document-inventory

简介

扫描文档集合并生成带元数据与分类的结构化清单。

  • 适用于建立知识库前的资料盘点与统计分析场景。
  • 自动识别 PDF、Word 及文本文件,支持递归目录遍历。
  • 结果以 SQLite 数据库存储,便于后续检索与引用管理。
  • document-inventory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Document Inventory

Overview

This skill scans document collections (PDFs, Word docs, text files) and creates a structured inventory with metadata, automatic categorization, and collection statistics. Essential first step before building knowledge bases.

Quick Start

from pathlib import Path
import sqlite3

# Scan directory
documents = []
for filepath in Path("/path/to/docs").rglob("*.pdf"):
    documents.append({
        'filename': filepath.name,
        'size': filepath.stat().st_size,
        'path': str(filepath)
    })

# Store in database
conn = sqlite3.connect("inventory.db")
cursor = conn.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS docs (name TEXT, size INTEGER, path TEXT)")
for doc in documents:
    cursor.execute("INSERT INTO docs VALUES (?, ?, ?)",
                   (doc['filename'], doc['size'], doc['path']))
conn.commit()
print(f"Inventoried {len(documents)} documents")

When to Use

  • Auditing large document libraries before processing
  • Understanding the scope of a document collection
  • Categorizing documents by type, source, or content
  • Preparing inventories for knowledge base creation
  • Generating reports on document collections
  • Identifying duplicates or organizing files

Features

  • Recursive scanning - Process nested directories
  • Metadata extraction - Size, dates, page counts
  • Auto-categorization - Pattern-based classification
  • Statistics generation - Collection summaries
  • SQLite storage - Queryable inventory database
  • Multiple formats - PDF, DOCX, TXT, and more

Implementation

Core Inventory Builder

#!/usr/bin/env python3
"""Document inventory builder."""

import sqlite3
import os
from pathlib import Path
from datetime import datetime
import logging

*See sub-skills for full details.*
### CLI Interface

#!/usr/bin/env python3 """Document Inventory CLI."""

import argparse import json

def main(): parser = argparse.ArgumentParser(description='Document Inventory Tool') subparsers = parser.add_subparsers(dest='command', help='Commands')

*See sub-skills for full details.*

Report Generator

def generate_report(db_path, output_path):
    """Generate HTML inventory report."""
    inventory = DocumentInventory(db_path)
    stats = inventory.get_statistics()

    html = f"""
    <!DOCTYPE html>
    <html>
    <head>

*See sub-skills for full details.*

## Custom Categorization

### Extend with Your Patterns

Add custom patterns for your domain

CUSTOM_PATTERNS = { 'SPEC': 'Specifications', 'DWG': 'Drawings', 'REV': 'Revisions', 'APPROVED': 'Approved', 'DRAFT': 'Draft', 'SUPERSEDED': 'Superseded', }

*See sub-skills for full details.*

Multi-Level Categories

def categorize_hierarchical(filepath):
    """Create hierarchical categories."""
    name = filepath.name.upper()

    # Primary category
    primary = 'General'
    if 'API' in name:
        primary = 'API Standards'
    elif 'ISO' in name:

*See sub-skills for full details.*

## Example Usage

Scan directory

python inventory.py scan /path/to/documents --db inventory.db

View statistics

python inventory.py stats --db inventory.db

Search

python inventory.py search "API" --category "Standards"

Export to CSV

python inventory.py export inventory.csv --db inventory.db


## Related Skills

- `knowledge-base-builder` - Build searchable database after inventory
- `pdf/text-extractor` - Extract text from inventoried PDFs
- `semantic-search-setup` - Add AI search capabilities

## Version History

- **1.1.0** (2026-01-02): Added Quick Start, Execution Checklist, Error Handling, Metrics sections; updated frontmatter with version, category, related_skills
- **1.0.0** (2024-10-15): Initial release with SQLite storage, auto-categorization, CLI interface

## Sub-Skills

- [Best Practices](https://github.com/vamseeachanta/workspace-hub/blob/HEAD/.claude/skills/data/documents/document-inventory/best-practices/SKILL.md)

## Sub-Skills

- [Execution Checklist](https://github.com/vamseeachanta/workspace-hub/blob/HEAD/.claude/skills/data/documents/document-inventory/execution-checklist/SKILL.md)
- [Error Handling](https://github.com/vamseeachanta/workspace-hub/blob/HEAD/.claude/skills/data/documents/document-inventory/error-handling/SKILL.md)
- [Metrics](https://github.com/vamseeachanta/workspace-hub/blob/HEAD/.claude/skills/data/documents/document-inventory/metrics/SKILL.md)
- [Dependencies](https://github.com/vamseeachanta/workspace-hub/blob/HEAD/.claude/skills/data/documents/document-inventory/dependencies/SKILL.md)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.57%
按下载量换算60

windsurf

25.25%
按下载量换算48

trae

17.69%
按下载量换算34

OpenCode

11.82%
按下载量换算22

Cursor

8.46%
按下载量换算16

Codex

3.57%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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