research-assistant

Read Bear notes tagged "待整理", extract topic keywords, search for relevant GIFs via gifgrep, insert them into the note, and remove the tag. Use when the user wants to auto-illustrate or finalize research notes from Bear.

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:

   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:

   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.