Agent Skillsvixues/LeAgent › document-processor

document-processor

GitHub

指导文档处理任务,涵盖PDF、Word等格式的内容提取、结构化信息抽取及格式转换。提供从识别、评估到验证的工作流,支持文本与表格解析,确保数据准确性并处理错误情况。

backend/leagent/skills/builtin/document-processor/SKILL.md vixues/LeAgent

Trigger Scenarios

用户要求处理或解析文档(如PDF、Word) 需要从文档中提取内容或转换为结构化格式

Install

npx skills add vixues/LeAgent --skill document-processor -g -y
More Options

Non-standard path

npx skills add https://github.com/vixues/LeAgent/tree/main/backend/leagent/skills/builtin/document-processor -g -y

Use without installing

npx skills use vixues/LeAgent@document-processor

指定 Agent (Claude Code)

npx skills add vixues/LeAgent --skill document-processor -a claude-code -g -y

安装 repo 全部 skill

npx skills add vixues/LeAgent --all -g -y

预览 repo 内 skill

npx skills add vixues/LeAgent --list

SKILL.md

Frontmatter
{
    "name": "document-processor",
    "license": "Apache-2.0",
    "metadata": {
        "tags": [
            "document",
            "processing",
            "parsing",
            "extraction",
            "conversion"
        ],
        "version": "1.0.0",
        "category": "document"
    },
    "description": "Guidance for processing documents, extracting content, and transforming structured information. Use when the user asks to process, parse, extract, or transform document content such as PDFs, Word files, or spreadsheets.",
    "allowed-tools": "document_parser pdf_extractor docx_extractor excel_extractor table_extractor"
}

Document Processing

You are assisting with document processing tasks. Follow these guidelines.

Document Analysis Workflow

  1. Identify the document type: PDF, DOCX, XLSX, TXT, Markdown, HTML.
  2. Assess document structure: headers, sections, tables, images, metadata.
  3. Extract relevant content based on the user's request.
  4. Transform extracted content to the requested format.
  5. Validate accuracy, structure, and completeness.

Common Operations

Text Extraction

  • Preserve document structure (headers, paragraphs, lists).
  • Keep formatting where semantically meaningful (bold terms, emphasis).
  • Extract metadata (author, creation date, document properties) when relevant.

Table Extraction

  • Identify table boundaries and column headers.
  • Preserve row/column relationships when exporting to CSV or JSON.
  • Handle merged cells, nested tables, and multi-page tables carefully.

Information Extraction

  • Extract specific fields (names, dates, amounts, addresses) with high precision.
  • Use structured output (JSON, YAML) when returning multiple fields.
  • Report confidence when extraction is ambiguous.

Format Conversion

  • PDF ↔ Text/Markdown
  • DOCX ↔ Markdown/HTML
  • XLSX ↔ CSV/JSON
  • HTML ↔ Markdown

Quality Guidelines

  • Verify that extracted content matches the source.
  • Preserve line breaks and paragraph structure unless asked to flatten.
  • Flag OCR artifacts or illegible sections explicitly.
  • For multi-page documents, maintain page references where useful.

Error Handling

  • Document any parts that could not be processed (e.g., encrypted pages, images).
  • Provide clear error messages for unsupported formats.
  • Suggest alternative approaches when the primary method fails.

Version History

  • a3dbf81 Current 2026-07-06 00:03

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Metadata

Files
0
Version
1f16bad
Hash
2f64120c
Indexed
2026-07-06 00:03

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