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1coos-markdown-converter

Convert files to beautifully formatted Markdown. TRIGGER when user asks to convert a file to Markdown, extract text from PDF/DOCX/PPTX/XLSX, or format a document as Markdown.

معلومات المصدر

المستودع
RabbitAI-Lab/rabbit-plugins-upstream
آخر نشاط في المصدر
٢٦ يوليو ٢٠٢٦ في ٢٠:٥٠
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
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التفرعات
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اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
1coos-markdown-converter
description
Convert files to beautifully formatted Markdown. TRIGGER when user asks to convert a file to Markdown, extract text from PDF/DOCX/PPTX/XLSX, or format a document as Markdown.
version
1.0.1
metadata
{"openclaw":{"requires":{"bins":"[Truncated]"},"install":["[Truncated]"],"emoji":"📝"}}
# Markdown Converter Convert files to beautifully formatted Markdown in two steps: **convert** with `uvx markitdown[all]`, then **beautify** with configurable style formatting. ## Usage ``` /1coos-markdown-converter <file-path> [--style github|commonmark|clean|obsidian] [--output-dir path] [--convert-only] ``` ## Parameters | Parameter | Required | Description | |-----------|----------|-------------| | `<file-path>` | Yes | Path to the file to convert | | `--style` | No | Formatting style: `github` (default), `commonmark`, `clean`, `obsidian` | | `--output-dir` | No | Output directory (default: `skills/1coos-markdown-converter/output`) | | `--convert-only` | No | Only convert, skip formatting step | | `--config` | No | Path to config.json (default: skill directory config.json) | ## Supported Formats - **Documents**: PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls) - **Web/Data**: HTML, CSV, JSON, XML - **Media**: Images (EXIF + OCR), Audio (EXIF + transcription) - **Other**: ZIP (iterates contents), YouTube URLs, EPub ## Formatting Styles ### github (default) GitHub Flavored Markdown — table column alignment, fenced code blocks, task lists. ### commonmark Strict CommonMark — enforces sequential heading levels (no skipping h1 to h3). ### clean Minimal style — removes excessive formatting, simplifies redundant links. ### obsidian Obsidian Flavored Markdown — converts internal links to `[[wikilinks]]`, normalizes callout syntax (`> [!type]`), formats properties/frontmatter, normalizes `==highlight==` syntax, and aligns tables. Ideal for notes destined for Obsidian vaults. ## Configuration Core parameters are configurable via `config.json` in the skill directory: ```json { "style": "github", "outputDir": null, "convertOnly": false, "formatting": { "maxWidth": 80, "listMarker": "-", "emphasisMarker": "*", "strongMarker": "**", "codeBlockStyle": "fenced" }, "converter": { "timeout": 60000, "charset": "UTF-8" } } ``` CLI arguments always override config.json values. ## Execution Instructions When the user invokes this skill: 1. **Check prerequisites**: Verify `uvx` is available. If not, instruct the user to install uv: `curl -LsSf https://astral.sh/uv/install.sh | sh` 2. **Run conversion**: Execute the script: ```bash bun run ${CLAUDE_SKILL_DIR}/scripts/main.ts $ARGUMENTS ``` 3. **Report results**: Show the output file path and a brief summary of the conversion. 4. **Handle errors**: - Exit code 2: argument error — show the specific error message - Exit code 3: missing dependency — guide user to install uv - Exit code 4: conversion failure — suggest checking file format support ## Examples ```bash # Convert a PDF with default github style /1coos-markdown-converter report.pdf # Convert Word document with clean style /1coos-markdown-converter document.docx --style clean # Convert Excel to markdown without formatting /1coos-markdown-converter data.xlsx --convert-only # Specify output directory /1coos-markdown-converter slides.pptx --output-dir ~/notes ``` ## Notes - First run caches `markitdown[all]` dependencies; subsequent runs are faster - Uses `markitdown[all]` to ensure full format support (PDF, OCR, audio transcription) - Output preserves document structure: headings, tables, lists, links - For complex PDFs with poor extraction, consider using Azure Document Intelligence
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