Introduction

Audit working papers, scanned documents, mixed-layout PDFs, and webpage excerpts often contain tables interspersed with body text. Manually copying them to Excel or Word is slow and prone to column or row errors. While general dialogue models can assist with rewriting, they often yield unstable results for tasks like “saving with fixed headers” or “aligning tables across pages” without specialized steps. The following introduces the SkillHub community skill “Data Processing” (@user_60000197/data-extraction), designed for scenarios involving the extraction of text and tables from various file and page sources, followed by organizing them into standardized office documents.

What is this

“Data Processing” is a data extraction and organization skill on SkillHub, located at @user_60000197/data-extraction. The current version is 1.0.0, with a source of community, categorized under data-analysis, and published by user_60000197 (listed as author Che Liang on the SkillHub page). The skill tag indicates requires_api_key=false, meaning no additional API Key configuration is required after installation.

The official description positions it for use when extracting text and table data from sources such as images/scans (OCR), PDFs, Word files, Excel/CSV files, and webpages, and organizing them into standardized Excel spreadsheets or Word documents (such as audit reports, issue lists, rectification ledgers, and evidence collection forms). It is suitable for scenarios including internal auditing, document digitization, ledger establishment, and data cleaning.

  • SkillHub Page: https://www.skillhub.cn/skills/user_60000197/data-extraction
  • API Index Address: https://api.skillhub.cn/user_60000197/data-extraction

Core Functions

The following capabilities are derived from the official description; implementation details not expanded upon separately on the page are not covered here.

  1. Multi-format Input: Supports sources including images and scans (via OCR), PDFs, Word, Excel/CSV, and webpages.
  2. Structured Output: Organize extracted results into standardized Excel spreadsheets or Word documents.
  3. Business Document Formats: Official examples include ledger-type and report-type finished products such as audit reports, issue lists, rectification ledgers, and evidence collection forms.
  4. Scenario Coverage: Internal auditing, document digitization, ledger establishment, data cleaning.

The Skill itself follows the general SKILL.md format. The Agent loads the skill description when matching tasks and collaborates to complete extraction and organization according to the processes defined within it.

Installation and Activation

Installation via SkillHub Page Prompt

The installation prompt provided by SkillHub suggests reading the installation documentation first, then installing the specified coordinate skill. You can send the entire segment below to an AI that supports Skills, allowing it to complete the installation according to the documentation:

Please install `@user_60000197/data-extraction` according to https://skillhub.cn/install/skillhub.md.

The installation documentation requires that when installing a skill, you must use --dir to point to the current Agent’s skills directory; otherwise, installing to the default ./skills/ might not be recognized.

  1. Check if the CLI is already installed:
command -v skillhub && skillhub --version
  1. If not installed, execute the full installation (including CLI and default Skills) according to the documentation:
curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash

To install only the CLI:

curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash -s -- --cli-only
  1. Install the skill to the corresponding client’s skills directory (replace <skills directory> with the path in your current environment):
skillhub install user_60000197/data-extraction --dir <skills directory>

Common paths listed in the installation documentation include:

  • Cursor: ~/.cursor/skills/
  • Claude Code: ~/.claude/skills/
  • Codex: ~/.codex/skills/ or .agents/skills/ under the project

For paths for other clients (Windsurf, Gemini CLI, etc.), please refer to Section 4 of https://skillhub.cn/install/skillhub.md. If the Agent does not immediately recognize the new skill after installation, please restart or refresh the skill list according to the instructions for your specific client.

Typical Usage

The official page does not provide step-by-step screenshots or fixed prompt templates. The usage aligns with the task description in the introduction, and a workflow can be reproduced as follows:

  1. In a conversation with the Skill enabled (e.g., in Cursor), specify the source type (e.g., PDF, scanned image, Word, webpage URL) and attach the file or link.
  2. Specify the target format: whether Excel (header fields, sheet division) or Word (chapters, list styles) is needed, and cite the document types from the official examples (issue lists, rectification ledgers, evidence collection forms, etc.) as structural references.
  3. Request the Agent to complete extraction, deduplication, and field alignment according to the “Data Processing” skill workflow, outputting editable .xlsx or .docx files (or providing a table preview before saving).
  4. For OCR or complex layouts, add constraints in the conversation such as “prioritize table columns” or “how to handle merged cells” to reduce secondary manual adjustments.

Through these steps, the value of the skill lies in converging “multi-source extraction + standardized saving” into a single set of Skill guidelines, rather than describing format requirements from scratch every time.

Applicable Scenarios and Notes

Who is it for

  • Internal audit, compliance, and archive digitization roles: Batch extracting tables from scans and PDFs to build ledgers.
  • Teams that need to organize webpage or mixed-format materials into unified Excel/Word templates.

Notes on Usage

  • Ratings and download counts are based on SkillHub (as of data capture: Rating 100000, Downloads 3037); the “Install” count displayed on the page is 0, which is for platform statistical reference only.
  • requires_api_key=false indicates that the skill metadata does not declare a dependence on external API Keys; specific operation still depends on the Agent and local toolchain (e.g., ability to read local files, availability of OCR capabilities).
  • Scan quality and photo quality directly affect OCR results; complex merged cells and cross-page tables require clear rules defined in the conversation.
  • Please use sensitive materials in an environment that complies with unit data classification and desensitization requirements, avoiding sending confidential files to unauthorized model services.

Conclusion

“Data Processing” incorporates the extraction of text and tables from multi-source documents, as well as standardized Excel/Word output, into a reusable Agent Skill path. It is suitable for repetitive organization work such as audit ledgers, rectification lists, and evidence collection forms. For installation or updates, please refer to the official SkillHub page:

https://www.skillhub.cn/skills/user_60000197/data-extraction