문서·Office 스킬

Convert PDF, Word, and Excel documents into structured Markdown for search and knowledge bases. The skill tries three parsers in sequence when needed and returns metadata, a confidence score, and the parser used.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare documents for retrieval-augmented generation
• Structure documents for an internal knowledge base
• Extract structured text from contracts

Process PDF forms, extract tables and text, and recognize text in scanned documents with OCR. Included scripts support data validation, batch workflows, merging, and page splitting, with table exports to CSV or Excel.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill PDF forms after validating submission data
• Export tables from reports to CSV or Excel
• Extract text from scanned PDFs with OCR

Save web pages as clean Markdown with source details such as title, author, and capture date. Chrome renders JavaScript content, while a wait mode lets you finish logging in or loading content before capture.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Archive web articles for a local knowledge collection
• Save pages after logging in
• Capture content rendered with JavaScript

Create and edit Obsidian notes with links between notes, embedded files, callouts for highlighted information, and properties such as tags and dates. Format documents with tables, task lists, equations, and diagrams using Obsidian’s Markdown syntax.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Connect related notes in an Obsidian knowledge base
• Organize project notes with properties and task lists
• Embed reference notes, images, audio, and PDF pages

Turn plain text or Markdown drafts into structured documents with headings, lists, and frontmatter metadata such as titles and summaries. Save a formatted copy and use scripts to correct spacing between East Asian text and English, plus emphasis punctuation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert a plain text draft into structured Markdown
• Add titles, summaries, and other document metadata
• Correct spacing in mixed Japanese and English text

Write and revise Chinese technical documentation using consistent spacing, punctuation, terminology, and structure. Includes README.md and API documentation templates, bilingual formatting examples, and a checklist for reviewing documents before publication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Standardizing spacing and punctuation in Chinese documents
• Writing a Chinese README.md
• Organizing API documentation in Chinese and English

Write, review, and edit developer documentation for SDKs, libraries, and frameworks. Organize guides, API references, and code examples around readers’ tasks, checking technical claims against source code and official documentation while following the destination site’s conventions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a getting-started guide
• Reviewing API documentation and code examples
• Updating migration and troubleshooting guides

Extract text from images and PDFs, including handwriting, tables, invoices, and receipts. Return plain text, Markdown tables, or structured JSON fields, with options to select a recognition provider and specific PDF pages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract text from scanned documents
• Convert table images into Markdown
• Extract invoice and receipt fields as JSON

Organize knowledge and specifications in OpenRig so agents can find the right context and preserve what they learn. The skill explains where files belong and how to read documents from a local role up to broader shared guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing where to record a lesson
• Preparing role knowledge for a handover
• Tracing work back to its purpose and shared practices

Read a Markdown file or a specific section using its file path and heading address. The bundled resolver selects the requested content, includes child sections when appropriate, and ignores headings inside fenced code blocks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Read one section of a specification
• Extract a section with its subsections
• Reference Markdown outside the OpenRig context library

Structure guides, READMEs, design documents, and pull request descriptions so readers can find answers quickly. Put outcomes first, introduce details gradually, and use examples, tables, and checklists to support understanding and review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reorganizing a long or dense README
• Writing an onboarding guide for new contributors
• Making a pull request's review steps clear

Generate documents through shell scripts when standard tools fail, then locate files saved in nested folders. Covers finding PowerPoint or PDF outputs, copying them to the delivery location, and checking that the resulting files exist and are usable.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generate documents when standard tools fail
• Find PowerPoint or PDF files in nested folders
• Copy generated files to the delivery folder

Verify saved Excel files directly with Python and openpyxl, a workbook library. Check sheets, headers, row counts, marked rows, and output files to resolve conflicting agent reports and summarize what actually exists on disk.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolve conflicting workbook reports from agents
• Check that spreadsheet edits were saved
• Count rows selected with a marker column

Keep report writing focused on the original request when information retrieval fails. This skill guides agents to use existing knowledge, disclose missing information, create a structured document with write_file, and verify that the file exists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a report when web search fails
• Continuing document work after repeated tool errors
• Documenting gaps in available source information

Create medical visit notes in SOAP format, which separates patient reports, observed findings, clinical assessment, and care plans. Organize the available information into a complete Markdown or plain text file written in one operation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing patient visit information into SOAP notes
• Documenting symptoms, medical history, and examination findings
• Recording treatment plans and follow-up arrangements

Process Excel files with Python after checking that input files and source URLs are accessible. The workflow covers data transformations, formulas, and formatting, with alternative sources and error logs when access fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transforming Excel data after checking input files
• Applying formulas and formatting across multiple sheets
• Trying backup sources when a data URL is unavailable

Create structured medical notes in SOAP format, covering patient reports, observed findings, assessment, and care plans. The skill organizes supplied clinical information, writes all four sections to a file together, and checks that the record is complete.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing patient visit information into SOAP notes
• Documenting medical meetings in a consistent format
• Checking all four sections of a clinical record

Create a structured Markdown report when multiple retrieval tools fail. Using available domain knowledge, the workflow separates verified facts from general guidance, marks missing data, and saves a document with limitations and practical next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a report when search and file reading fail
• Organizing general guidance into a structured document
• Marking missing data for later completion

Process Excel workbooks by saving Python scripts to files and running them through the shell. Covers multiple sheets, data transformations, formulas, formatting, and error reporting for complex spreadsheet tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Transform revenue data and save a processed Excel workbook
• Apply calculations across multiple worksheets
• Format report headers with colors and alignment

Create and process Excel files, PDF checklists, and structured reports by running Python scripts directly. The skill covers multiple sheets, formulas, formatting, data transformations, and error handling for document workflows with several steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Process and format multiple Excel sheets
• Create PDF checklists
• Turn sales summaries into PDF reports

Process spreadsheets with Python after checking source files, required sheets and columns, and external data access. The workflow includes backup source checks and clear failure reports when the required data cannot be reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check required files and columns before processing Excel
• Verify external data access before updating a spreadsheet
• Check backup data when the primary source is unavailable

Update or create Excel workbooks with checks against the requested structure. Identify the correct file before editing, then reread the saved workbook to verify sheet names, populated columns, row counts, and selected sample counts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the correct workbook among similarly named files
• Verify required sheets and columns after editing
• Check selected sample counts and required selection criteria

Process complex Excel files by running Python scripts directly through run_shell. Use pandas for data transformations and openpyxl for workbook editing, including multiple sheets, formulas, and formatting, with explicit saving and error reporting.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Processing multiple Excel sheets in one script
• Calculating new columns from spreadsheet data
• Formatting report headers and cells

Create or edit Excel workbooks with checks for sheet names, row counts, formulas, and merged cells. Reopen the saved file and verify each requirement, recording explicit results rather than relying on a completion summary.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an Excel workbook from a detailed specification
• Verify row counts and formulas after editing
• Identify the correct workbook among similar files