summarize-note

name	summarize-note
description	Generate AI summaries for markdown notes using Ollama and populate the frontmatter `summary` property. Use hierarchical map-reduce for notes exceeding model context. Trigger when asked to summarize notes, generate note abstracts, add AI summaries to frontmatter, or batch-summarize Obsidian vault notes.
allowed-tools	Read, Grep, Glob, Bash

Instructions

1. Ask the user which Ollama model to use (e.g., qwen3:8b, llama3, gemma2). The model must already be pulled in Ollama.

2. Dry-run first to preview summaries without modifying files:

   uv run --with ollama,pyyaml \
       skills/summarize-note/scripts/summarize_note.py <model> --dry-run <file_path> [...]
   

3. If summaries look good, run without --dry-run to write them:

   uv run --with ollama,pyyaml \
       skills/summarize-note/scripts/summarize_note.py <model> <file_path> [...]
   

4. Review the JSON output to confirm summaries were generated and written correctly.

Key behaviors

• Notes with an existing human summary (no [AI] prefix) are skipped automatically.
• Long notes are split by headings and summarized via concurrent map-reduce.
• Thinking model tags (e.g. <think>) are stripped automatically.
• Use --chunk-size to adjust for models with smaller context windows (default: 50000 chars, ~12K tokens, sized for 32K+ context models).
• Use --base-url to point to a remote Ollama instance.