Research Assistant#

Automate the workflow of enriching Bear research notes with topical GIFs.

Prerequisites#

• Bear app running with a valid API token ( ~/.config/grizzly/token)
• grizzly CLI installed
• gifgrep skill available (for GIF search)

Workflow#

1. Fetch notes — List all notes with the 待整理 tag: bash

   grizzly open-tag --name "待整理" --enable-callback --json --token-file ~/.config/grizzly/token
   
   

2. For each note: a. Read the note content via grizzly open-note --id <ID> --enable-callback --json. b. Extract 2–3 topic keywords from the title and key-findings sections. c. Search for a relevant GIF using gifgrep (or web_search + web_fetch for a GIF URL) with those keywords. d. Append the GIF as markdown to the note's "Supporting Media" section: bash

   echo '![topic](GIF_URL)' | grizzly add-text --id <ID> --mode append --token-file ~/.config/grizzly/token
   
   

   e. Remove the 待整理 tag by replacing tags (exclude 待整理, keep all others).

3. Report — Summarize which notes were processed and how many GIFs were inserted.

Notes#

• If a note already has content in "Supporting Media", insert the GIF on a new line below existing media.
• If no relevant GIF is found, skip insertion and note it in the report.
• Prefer GIFs that visually represent the research topic (e.g., data visualization, concept animation).
• The 待整理 tag signals "needs processing"; removing it marks the note as finalized.