Bear Share Sync

Three-step pipeline: Bear #share → Canvas node → iMessage preview.

Prerequisites

• Bear running with grizzly CLI installed and token configured (~/.config/grizzly/token)
• BlueBubbles channel configured in OpenClaw gateway (channels.bluebubbles)
• Canvas file at canvases/agent_capabilities.canvas (created on first run if missing)

Configuration

Set environment variables (or defaults apply):

Workflow

1. Poll for new #share notes

bash scripts/poll-share-notes.sh

Outputs JSON array of unprocessed notes (id, title, content, tags). Updates state file to mark notes as seen.

2. Update canvas

For each new note, append a knowledge node to the canvas. Run:

python3 scripts/update-canvas.py --canvas "$BEAR_SHARE_CANVAS" --notes /dev/stdin

Node layout: new nodes placed at Y = max(existing Y) + 200, X = 0. Node color = "4" (green). Edge from a central "Shared Notes" group node if present.

See references/canvas-schema.md for the JSON Canvas structure.

3. Send preview via BlueBubbles

bash scripts/send-preview.sh "<target>" "<title>" "<summary>"

Uses the message tool with channel: "bluebubbles". Sends a compact preview:

📝 New shared note: <title>

<first 280 chars of content>…

🔗 See canvas for full node.

Full Pipeline (one-shot)

NOTES=$(bash scripts/poll-share-notes.sh)
if [ "$NOTES" != "[]" ]; then
  echo "$NOTES" | python3 scripts/update-canvas.py --canvas "$BEAR_SHARE_CANVAS" --notes /dev/stdin
  echo "$NOTES" | python3 -c "
import json, sys, subprocess
for n in json.load(sys.stdin):
    subprocess.run(['bash','scripts/send-preview.sh',
        '$BEAR_SHARE_TARGET', n['title'], n['content'][:280]])
"
fi

Scheduling

Set up a cron job to poll every 15 minutes:

*/15 * * * * cd /path/to/skill && ./scripts/poll-share-notes.sh | ...

Or use OpenClaw cron with payload.kind = "agentTurn" and the pipeline command.

Notes

• The state file prevents re-processing; delete it to re-sync all notes.
• Canvas uses Obsidian-compatible JSON Canvas spec (see references/canvas-schema.md).
• If BlueBubbles send fails, the canvas is still updated; check gateway logs for delivery errors.