문서·Office 스킬

Read or create DOCX documents when standard file tools fail. This fallback extracts text from the document's internal XML and uses python-docx through shell commands to build new files with headings, paragraphs, and tables.

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• Extract text from a DOCX file that standard tools cannot read
• Create a Word document after sandbox execution fails
• Build a business memo with headings and tables

Inspect unfamiliar Excel workbooks before building extraction scripts. Map sheets, headers, columns, and row patterns, then use those findings to distinguish actual records from summaries and blank rows when extracting data.

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• Inspecting Excel files received from external sources
• Extracting records from sheets with merged cells
• Investigating missing or unexpected extraction results

Create multi-page PDFs with headings, tables, and consistent styling using reportlab, a Python library for building PDF documents. Run code directly through run_shell to control margins and page breaks when shell_agent document creation is unreliable.

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• Creating multi-page reports with tables
• Adjusting document margins and page breaks
• Generating PDFs when shell_agent creation fails

Create Excel files with openpyxl, a Python spreadsheet library, by switching to shell execution when sandbox tools fail. Examples cover cell styling, formulas, merged cells, multiple sheets, error reporting, and checking that the output file exists.

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• Retrying Excel creation after sandbox failures
• Creating spreadsheets with styles and formulas
• Building workbooks with multiple sheets

Extract plain text from Word DOCX files using shell commands first, then switch to Python's built-in ZIP reader if extraction fails or returns nothing. Supports text output without requiring the external python-docx package.

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• Extracting Word text without python-docx
• Retrying DOCX extraction after empty shell output
• Saving DOCX text to a separate file

Extract text from Word DOCX files with shell commands when python-docx is unavailable. The workflow reads the document’s XML content, removes tags, optionally cleans whitespace, and saves plain text for inspection or further use.

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• Reading DOCX files without python-docx
• Saving Word document text to a text file
• Extracting text where extra packages cannot be installed

Extract text from Word DOCX files and save it as plain text. The skill checks available tools, tries shell utilities, and falls back to Python’s standard library when needed.

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• Extracting DOCX text for review
• Reading Word files without python-docx
• Extracting text in restricted containers

Create Word, PDF, and HTML documents from Markdown, choosing pandoc or ReportLab to suit formatting and layout needs. The workflow covers character handling, output checks, and an alternative generation method when PDF conversion fails.

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• Export a Markdown report to Word, PDF, and HTML
• Create PDFs containing multilingual text and symbols
• Generate PDFs without LaTeX

Generate Word, PDF, and HTML documents from Markdown through visible conversion steps. Check available tools, handle special characters according to the output format, switch to alternative converters when needed, and verify the resulting files.

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• Exporting one document to Word, PDF, and HTML
• Recovering from PDF encoding errors
• Generating PDFs when LaTeX or pandoc is unavailable

Recover document generation tasks by separating Markdown content creation, format conversion, and output checks. Uses pandoc to produce Word, PDF, or HTML files, making it easier to identify which conversion step failed.

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• Recover document generation after an unclear shell_agent error
• Create Word and PDF files from the same Markdown source
• Convert Markdown into HTML with a custom template

Recover from failed Excel creation or editing by switching from execute_code_sandbox to shell_agent. It guides clear task descriptions so the agent can install missing libraries, run code, retry errors, and confirm file creation.

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• Continuing Excel creation after a sandbox import error
• Creating a sales report with formulas and sample data
• Building multiple sheets with conditional formatting

Run an initial quality review of public equity investment decks and reports. Identify inconsistent figures, unclear units, missing sources, and conflicting conclusions, then prioritize fixes and document evidence limits in a review report.

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• Checking repeated figures across an investment deck
• Reviewing sources, dates, and footnotes
• Comparing chart messages with report conclusions

Turn conversations and notes into structured Notion pages, including wiki entries, how-to guides, FAQs, and decision logs. Capture context and sources, connect related pages, and maintain owners and status as information changes.

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• Turn team conversations into wiki entries
• Record decisions and their rationale
• Create FAQs from recurring questions

Create and edit Google Docs while preserving requested structure, formatting, tabs, and tables. Adapt templates using current source information, update links and smart chips, and check that the finished document covers the requested content.

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• Create a document from a Google Docs template
• Update text and tables while preserving formatting
• Adapt a past project document for new work

Create, reply to, and resolve comments on Google Drive files, including Docs, Sheets, and Slides. Include exact quotes, cell ranges, or slide numbers so readers can locate feedback even when comments appear without an attached location.

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• Reviewing a document with quoted passages in comments
• Leaving feedback on specific spreadsheet cells
• Commenting on slide text with slide numbers

Create or update Google Slides presentations using an existing deck as a design reference. It extracts colors, typography, and layouts, preserves editable slide elements, and checks rendered slides for visual problems.

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• Update a previous period's presentation
• Create a deck from a company template
• Fix overflowing text and distorted images

Analyze and update connected Google Sheets using precise tabs and cell ranges. Find spreadsheets, search rows, clean tables, repair formulas and charts, or create a new spreadsheet from data or an existing template.

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• Clean and restructure an existing table
• Repair formulas and charts
• Create a spreadsheet from a template

Turn analytical findings into a report that leads with the answer and connects evidence, charts, tables, caveats, and sources. Shape the narrative for business stakeholders or technical readers, and deliver a report suited to the available environment.

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• Prepare an analytical report for leadership
• Explain product or business findings
• Document technical methods and limitations

Build reports and slide decks from charts and diagrams, with clear page layouts, commentary, and source notes. Prepare reusable figure assets and export to formats such as PDF or PowerPoint, with a workflow for regenerating updated documents.

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• Turning a dashboard into an executive PDF report
• Generating PowerPoint or Google Slides from chart assets
• Embedding architecture diagrams in technical reports

Turn articles, reports, papers, notes, or outlines into a visually consistent PowerPoint deck. Each slide is a generated image, with an approval workflow for the outline, style, and sample, plus quality checks and speaker notes.

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• Turning an article or report into a presentation
• Organizing a paper or notes into a slide deck
• Creating slides with a consistent visual style

Turn supplied project evidence into Notion briefs, decision records, operational instructions, status updates, or retrospectives. Preserve existing page conventions and history, preview substantial changes, and verify the finished page with its title and link.

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• Create a project brief from supplied evidence
• Document decisions while preserving their history
• Prepare operational instructions

Turn meeting material into organized notes with decisions, action items, owners, deadlines, risks, and open questions. The skill saves them to a selected Notion page or database, marks missing assignments clearly, and returns the saved page link.

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• Organize meeting material into notes in Notion
• Extract decisions and action items
• Identify tasks with missing owners or deadlines

Turn descriptions or code analysis into Mermaid diagrams for workflows, system architecture, and database relationships. Check diagram syntax and export SVG, PNG, or text-based ASCII output, with themes and batch rendering options.

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• Visualizing system architecture
• Documenting API request sequences
• Drawing database relationships

Find and manage documentation in Confluence through Atlassian MCP, a connection to Atlassian tools. Search in plain language, read and summarize pages, create or update structured content, browse spaces, and add page comments.

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• Finding and summarizing onboarding documentation
• Adding a section to existing API documentation
• Creating an architecture decision record in a specified space