Research Assistant#

Read Bear notes tagged 「待整理」, extract key topics, search for matching GIFs via gifgrep, and insert them inline. When done, remove the 「待整理」 tag and add 「已整理」.

Prerequisites#

• Bear app running on macOS with a valid API token at ~/.config/grizzly/token
• grizzly CLI installed ( go install github.com/tylerwince/grizzly/cmd/grizzly@latest)
• gifgrep skill installed (provides GIF search)
• curl available

Workflow#

1. Fetch notes: Run grizzly open-tag --name "待整理" --enable-callback --json --token-file ~/.config/grizzly/token to list all notes with the tag.

2. For each note: a. Read note content via grizzly open-note --id <NOTE_ID> --enable-callback --json --token-file ~/.config/grizzly/token b. Extract 2–3 key topics or keywords from the note title and first paragraph. c. For each keyword, search GIFs using the gifgrep skill (or curl "https://api.giphy.com/v1/gifs/search?api_key=dc6zaTOxFJmzC&q=<keyword>&limit=3" as fallback). d. Pick the most relevant GIF URL per keyword. e. Append GIFs to the note using grizzly add-text: text

   echo -e "\n---\n![<keyword>](<gif_url>)" | grizzly add-text --id <NOTE_ID> --mode append --token-file ~/.config/grizzly/token
   
   

3. Retag: Remove 「待整理」 and add 「已整理」 by updating note tags via Bear's x-callback-url: text

   open "bear://x-callback-url/add-tag?id=<NOTE_ID>&name=已整理"
   open "bear://x-callback-url/remove-tag?id=<NOTE_ID>&name=待整理"
   
   

4. Report: Summarize which notes were enriched and how many GIFs were added.

Script#

For batch processing, use scripts/enrich_notes.sh:

bash

bash scripts/enrich_notes.sh

The script handles the full loop: fetch tagged notes → per-note topic extraction → GIF search → insert → retag.

Notes#

• If no notes carry the 「待整理」 tag, report that and exit.
• If GIF search returns no results for a keyword, skip that keyword rather than inserting a placeholder.
• Bear must be running; grizzly commands will fail silently otherwise.
• Rate-limit GIF API calls (1 request/second) to avoid throttling.