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syncfusion-dotnet-smart-data-extractionSynfusion dotnet 智能数据提取

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

915

周安装

37

GitHub Stars

公开资料未说明

下载量

287
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

2

许可证

unknown

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:syncfusion-dotnet-smart-data-extraction(Synfusion dotnet 智能数据提取)
来源仓库:https://github.com/syncfusion/document-sdk-skills
仓库路径:skills/syncfusion-dotnet-smart-data-extraction
安装命令:
npx skills add https://github.com/syncfusion/document-sdk-skills --skill syncfusion-dotnet-smart-data-extraction
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/syncfusion/document-sdk-skills --skill syncfusion-dotnet-smart-data-extraction

简介

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。

  • 适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。
  • 使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • syncfusion-dotnet-smart-data-extraction 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Smart Data Extractor — Syncfusion

Overview

Extracts complete document structures from PDFs and images files using the Syncfusion SmartDataExtractor Library. This skill supports one operational mode — generating C# code for the user's project.

Key Capabilities

  • Document structure extraction: Identify text elements, images, headers, footers, and tables (including regions, header rows, columns, cell boundaries, and merged cells).
  • File format support: Works with PDF documents and common image formats such as JPEG and PNG.
  • Table extraction: Specialized capability to extract tabular data.
  • Form recognition: Detects and processes structured form data.
  • Page-level control: Extract data from specific pages or defined page ranges.
  • Confidence threshold: Results are filtered based on a configurable confidence score (0.0–1.0).

Prerequisites

  • Install required runtime and library packages from NuGet before running extraction.

Quick Start Examples

Example: Generate Code

User: "Write Program.cs code to extract the data from pdf and save as JSON using SmartDataExtractor." Result: C# code snippet displayed (no files created)

Mode

Mode 1: Generate C# Code for the User's Project *(default)*

Use this mode when the user wants to view, write, review, refactor, or modify C# code related to Smart Data Extractor processing. Trigger keywords: "show me how", "how to", "how can I", "how do I", "provide code", "provide an example", "give an example", "demonstrate", "code snippet", "sample code", "example", "sample", "give me", "show me", "Program.cs", "example code", "generate code for", "codesnippet".

Workflow:

Step 1 — Detect Application Type and Suggest Required NuGet Packages

  • Inspect the workspace project files (.csproj, web.config, App.config, Startup.cs, Program.cs, etc.) and use the detection signals table in references/nuget-packages.md to determine the application type.
  • Based on the detected application type, identify the correct NuGet package(s) from references/nuget-packages.md and instruct the user to install them before generating any code. ONLY use package IDs and versions listed in references/nuget-packages.md — do not suggest, look up, or infer package names from external sources or common naming conventions.
  • Note: If the user's request is explicitly table-only (asks only to extract table data), recommend only the Table Extractor package listed in references/nuget-packages.md and review the ExtractTable section for the detected application type. Do not recommend or add the broader SmartDataExtractor package unless the user requests non-table extraction or JSON conversion features.

Step 2 — Generate Code from Reference Files Only

Do NOT invent, guess, or suggest any API, method, property, class, or namespace not explicitly present in the reference files.

  • Read the relevant references/*.md file(s) for the requested feature
  • Build C# code strictly from the APIs and snippets found in those files
  • Select the correct snippet variant based on the app type detected in Step 1:

- Windows-specific apps (WinForms, WPF,.NET Framework Console) → use Windows-specific snippets - Cross-platform apps (ASP.NET Core,.NET Core/.NET 5+ Console, Blazor, MAUI) → use cross-platform / .Net.Core snippets - Do not create or run any .csx script



Code References

All templates and snippets are in the references/ folder:

FileContents
document-structure.mdQuick extractor setup and usage snippets
extract-data.mdExamples: ExtractDataAsJson, ExtractDataAsPdfStream,ExtractDataAsPdfDocument, async variants
extract-table.mdTable extraction examples (ExtractTableAsJson)
recognize-forms.mdrecognize form fields examples: FormRecognizeOptions, RecognizeFormAsPdfDocument,RecognizeFormAsPdfStream, RecognizeFormAsJson async variants
data-options.mdExplanation of TableExtractionOptions, FormRecognizeOptions, ConfidenceThreshold, PageRange

Rules

  • Output files go in ./output/ directory
  • Don't use any API which is not in reference
  • Only use NuGet package IDs and versions defined in references/nuget-packages.md when recommending or adding packages.
  • For table-only extraction requests, recommend/install only the table extractor package from references/nuget-packages.md for the detected application type.

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

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

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

Codex

35.16%
按下载量换算101

Claude

30.47%
按下载量换算87

Cursor

19.33%
按下载量换算55

Gemini CLI

9.53%
按下载量换算27

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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