notion-to-markdown

name	notion-to-markdown
description	Directly convert Notion pages to Obsidian-friendly Markdown using MCP fetch and local processing. Use this skill when you need to migrate specific Notion pages identified by URL or ID into the local Obsidian vault, ensuring LaTeX normalization, image localization, and property-to-frontmatter mapping.

Notion to Markdown

This skill provides a high-level workflow for fetching live Notion pages and converting them into clean, localized Markdown files suitable for an Obsidian vault.

Overview

Unlike bulk migration from exports, this skill leverages the Notion MCP (notion-fetch) to retrieve page content directly and then uses the stable_jarvis.notion_to_obsidian toolkit to perform surgical processing.

Execution Workflow

Step 1: Precise Identification

Use notion-search to find the exact page ID or URL.

# Example search
notion-search query="Leveraging Skills from Unlabeled Prior Data"

Step 2: Fetch and Save Content

Retrieve the raw Notion content and save it to a temporary JSON file.

# Fetch content via MCP
notion-fetch id="[PAGE_ID]" > temp_fetch.json

Step 3: Local Processing

Run the migration script to convert the JSON content to localized Markdown.

python skills/notion-to-markdown/scripts/migrate.py temp_fetch.json [OUTPUT_DIR]

Step 4: Verification and Refinement

Inspect the output Markdown. Notion content can sometimes be "jammed" or have deep indentation that script-based normalization might miss. Use the replace tool to:

• Normalize Indentation: Ensure consistent 2 or 4-space indentation for nested blocks.
• Fix Block Spacing: Ensure double newlines exist between headings, details blocks, and paragraphs.
• Verify Equations: Check that all $$ blocks are correctly populated with recovered LaTeX.
• Final Polish: Remove any redundant HTML tags or artifacts (e.g., empty <span> tags).

Key Capabilities

• LaTeX Normalization: Converts Notion's $ \dots $ and $ \dots $ to standard $...$ and $$...$$ syntax.
• Image Localization: Automatically detects and downloads Notion S3-hosted images, saving them to a local assets/ folder and updating Markdown links.
• Frontmatter Mapping: Extracts Notion properties (Status, Tags, Journal Name, etc.) and maps them to YAML frontmatter.
• Style Conversion: Transforms Notion-specific spans (e.g., color backgrounds) to Obsidian highlights (==text==).

Dependencies

• Conda Environment: Must use the jarvis environment (conda activate jarvis).
• notion-fetch MCP Tool: Required to retrieve page data.
• stable_jarvis package: Must be installed in editable mode (pip install -e .) within the jarvis environment.
• httpx: Used for reliable image downloads.

Troubleshooting

• Expired Image URLs: Notion S3 URLs are temporary. Ensure the migrate.py script is run immediately after notion-fetch.
• Missing Content: If the fetch result is truncated, ensure you are capturing the full output of the notion-fetch tool.