技能列表

Safely check whether a Docker container's image has changed and, only when needed, recreate that docker run container with a user-provided original docker run command. Use when updating an existing Docker container managed by docker run, especially when the user provides a fixed recreate_command and wants image Id (sha256) comparison before pull/recreate. Do not use for docker compose, automatic command reconstruction, volume pruning, or speculative container changes.

Document to Markdown converter - convert DOCX, PPTX, Excel files to Markdown. Use when extracting content from Word documents, PowerPoint presentations, or Excel spreadsheets."

Lightweight document utility designed to convert files to Markdown (MD), built specifically for intelligent agents (e.g., OpenClaw, ClaudeCode) to read and process content. Requires no external dependencies and accurately preserves document structure and formatting. Supported formats include docx, doc, pdf, ppt, pptx, xls, xlsx, jpg, jpeg, png, ceb, teb, caj, odt, ofd, cebx, odp, ott, wps, ods, et, dps, epub, chm, sdc, sdd, sdw, mobi

Extract plain readable text from Word documents (.doc, .docx) using MinerU. Outputs Markdown (the closest plain-text format supported) for easy reading and processing. Features: quick text extraction from .docx without token (flash-extract). Full extraction for .doc and .docx with token. JSON output mode with dedicated text fields for true plain text. Language support for English, Chinese, and more. Use when you need to: get plain text from a Word file, extract readable content from .docx, conve

Convert Word documents (.doc, .docx) to clean, well-structured Markdown using MinerU's document processing engine. Ideal for turning Microsoft Word files into readable Markdown for documentation, static sites, or content migration. Features: preserves headings, lists, tables, and paragraph structure. Supports both .doc (legacy) and .docx formats. Quick mode (flash-extract) for .docx requires no API token. Full extraction mode handles complex layouts with images and embedded objects. Use when you

Convert Word documents (.doc, .docx) to HTML using MinerU's document processing engine. Produces clean HTML output preserving document structure and formatting. Features: HTML output from Word files with preserved layout. Supports both legacy .doc and modern .docx. Maintains headings, tables, lists, and paragraph formatting in HTML. Use when you need to: convert a Word document to HTML, turn .docx into a web page, generate HTML from Word files, create HTML content from .doc files. Use when asked

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Parse and extract structured content from Word documents (.doc, .docx) into well-organized Markdown using MinerU. Preserves the full document hierarchy: headings, nested lists, tables, paragraphs, and formatting. Features: structural parsing that maintains document outline and heading levels. Supports both legacy .doc and modern .docx formats. Quick parse mode (flash-extract) for .docx with no token required. Full parsing with token for complex documents. Use when you need to: parse a Word docum

OCR (Optical Character Recognition) for Word documents (.docx) containing scanned pages or image-embedded content. Uses MinerU to extract text from Word files that have poor or missing text layers. Features: OCR extraction for image-based .docx files. VLM (Vision Language Model) mode for complex layouts with mixed text and images. Handles scanned document pages embedded in Word files. Converts image content to searchable, editable Markdown. Use when you need to: OCR a Word document with scanned

문서 생성 후 디스코드 채널 간 양방향 링크로 전달하는 프로세스. 펭귄공장(지휘 채널)에서 문서 생성 지시가 오면 대상 채널에 문서 업로드 + 펭귄공장 링크, 펭귄공장에 완료 알림 + 대상 채널 링크를 남긴다. "문서 만들어줘", "PDF 만들어줘", "견적서 만들어줘", "리스트 정리해줘" 등 문서 생성·전달 요청 시 사용.

Extract text and content from Word documents (.doc, .docx) to Markdown using MinerU. A straightforward tool for reading and extracting Word file content. Features: fast text extraction from .docx with no token required (flash-extract). Full extraction for both .doc and .docx with token. Preserves basic formatting and structure. Page range selection for large documents. Use when you need to: extract text from a Word file, read content from .doc or .docx, pull text out of a Word document, get the

Deep co-authoring workflow—context gathering, iterative drafting and structure, reader testing, and quality gates. Use when writing documentation, proposals, technical specs, decision docs, RFCs, or similar structured content; helps transfer context, refine through iteration, and verify the doc works for readers.