plugins/vendored-skills/skills/markdown-converter/SKILL.md
Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis.
npx skillsauth add jaisonerick/spec-plugin markdown-converterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Convert files to Markdown using uvx markitdown — no installation required.
# Convert to stdout
uvx markitdown input.pdf
# Save to file
uvx markitdown input.pdf -o output.md
uvx markitdown input.docx > output.md
# From stdin
cat input.pdf | uvx markitdown
-o OUTPUT # Output file
-x EXTENSION # Hint file extension (for stdin)
-m MIME_TYPE # Hint MIME type
-c CHARSET # Hint charset (e.g., UTF-8)
-d # Use Azure Document Intelligence
-e ENDPOINT # Document Intelligence endpoint
--use-plugins # Enable 3rd-party plugins
--list-plugins # Show installed plugins
# Convert Word document
uvx markitdown report.docx -o report.md
# Convert Excel spreadsheet
uvx markitdown data.xlsx > data.md
# Convert PowerPoint presentation
uvx markitdown slides.pptx -o slides.md
# Convert with file type hint (for stdin)
cat document | uvx markitdown -x .pdf > output.md
# Use Azure Document Intelligence for better PDF extraction
uvx markitdown scan.pdf -d -e "https://your-resource.cognitiveservices.azure.com/"
-d with Azure Document Intelligencedevelopment
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
tools
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
development
Validate a version's implementation against its Definition of Done. For code projects: runs automated tests against the live application. For non-code projects: reviews deliverables against acceptance criteria. Runs incrementally on re-runs. Ends with human validation guidance.
testing
Post-version retrospective that captures lessons learned, fixes documentation drift, and proposes skill improvements. Analyzes PROGRESS.md, story logs, QA results, and commit/change history to identify struggle patterns and knowledge worth preserving. Run after a version is shipped.