Word, Excel, PowerPoint, PDF, meeting notes, and manuals (3.6K skills)
Create, edit, and analyze Word documents while preserving formatting. Extract text, add comments, and record precise tracked changes so reviewers can see what changed in business, academic, or other professional documents.
Automate Coda document and table work through Rube MCP, a connection for agent tools. Find documents, insert or update rows, check formula values, export content, and manage sharing permissions and public publishing.
Turn Git commits, the recorded changes in a project, into clear release notes for users. Select a date range or version, group relevant updates by category, and leave out internal maintenance details.
Automate Confluence documentation tasks through Rube MCP: create and update pages, search page content, manage spaces, and add labels. Explore parent and child pages and review edit history to understand how documentation is organized.
Read, create, and organize PDF files, including merging documents, splitting pages, extracting tables, and filling forms. It also covers password protection and OCR, which recognizes text in scanned pages for extraction or search.
Create, read, and edit Word documents with headings, tables of contents, images, tables, and page numbers. It also supports text extraction, find-and-replace, comments, and tracked changes for revising existing documents.
Create, edit, and clean spreadsheet files, including Excel workbooks and CSV data. Add formulas, formatting, and charts, preserve existing template styles, and recalculate formulas to check for errors before delivering the finished spreadsheet.
Create and update PowerPoint presentations, extract their text, and combine or split slide files. Work with templates, layouts, speaker notes, and comments, then check both content and rendered slides for missing text and visual problems.
Turn written explanations into Mermaid diagrams, which describe visuals using text code. Create workflows, comparisons, mind maps, and system interactions for documents or presentations, with configurable layouts and checks for common syntax mistakes.
Find missing references between wiki pages using names, aliases, shared tags, and project context. Add links in the text or a related section, record relationship types, and report confidence levels and pages that remain disconnected.
Turn findings and decisions from the current conversation into reusable wiki notes with links to related pages. Choose a finished note, a quick draft for later processing, or a correction record that preserves the original source.
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.
Upload Hugging Face Blog body images to the documentation-images dataset, organize them by article, update Markdown references, and verify public links. Use it to add illustrations or migrate existing images while preserving meaningful alternative text.
Turn a solved CTF security challenge into a concise Markdown writeup for teammates or organizers. Organize challenge details, key observations, and one complete solving script so readers can reproduce the result and verify the final flag.
Creates charts, diagrams, comparison cards, and page layouts directly in Markdown using editable text. A compatible viewer renders the visuals, helping readers understand data, workflows, system architecture, and plans within the document.
Write or review technical documents with a clear purpose, consistent terminology, and instructions readers can follow. Applies rules for document structure and plain English to guides, reference material, RFCs, readmes, PR descriptions, and commit messages.
Update Feishu cloud documents by appending text, replacing sections or repeated terms, inserting content, and deleting selected passages. Target edits by text or heading, and change the document title alongside its content.
Create Feishu cloud documents from Lark-flavored Markdown, a text format with Feishu-specific extensions. Include tables, images, and diagrams, save documents in a chosen folder or knowledge space, and receive a document link.
Retrieve Feishu document text as Markdown using a document link or identifying token. Resolve knowledge base links to the appropriate document type, and use a separate media tool to download embedded images, files, or whiteboards.
Keep Comet documentation aligned in Chinese and English, including README files, skills, release notes, and website pages. Preserve approved meaning and terminology, check affected files, and report the translation scope and validation results.
Guides editing and exporting two specific books, covering PDF and print HTML production, missing table-of-contents entries, diagram regeneration, and file organization. It keeps shared build behavior, release metadata, source assets, and final deliverables consistent.
Generate a Node.js script that converts VitePress or GitHub-flavored Markdown into Azure DevOps Wiki copies. It adjusts Mermaid diagrams, removes page metadata, fixes incompatible links, and prepares navigation while leaving source files untouched.
Turn generated wiki Markdown into a browsable VitePress website. Adds navigation, a dark theme, and click-to-zoom Mermaid diagrams, which render diagrams from text, then produces a static build for publication.
Create technical wiki pages grounded in actual source code. It organizes architecture, components, and data flow into Markdown with source citations, dark-mode Mermaid diagrams, summary tables, and links to related pages for deeper exploration.