Skills

Bear Notes

Create, search, and manage Bear notes via grizzly CLI.

Install

npx skills add OpenBMB/PilotDeck --skill bear-notes -g -a claude-code -y
Repository
OpenBMB/PilotDeck4.9k
Category
Writing
Updated
6d ago
License
AGPL-3.0
Context cost
Lightabout 595 tokens
Runs scripts
No, instructions only

What it does

Create, search, and manage Bear notes via grizzly CLI.

Bear Notes

Use grizzly to create, read, and manage notes in Bear on macOS.

Requirements

  • Bear app installed and running
  • For some operations (add-text, tags, open-note --selected), a Bear app token (stored in ~/.config/grizzly/token)

Getting a Bear Token

For operations that require a token (add-text, tags, open-note --selected), you need an authentication token:

  1. Open Bear -> Help -> API Token -> Copy Token
  2. Save it: echo "YOUR_TOKEN" > ~/.config/grizzly/token

Common Commands

Create a note

echo "Note content here" | grizzly create --title "My Note" --tag work
grizzly create --title "Quick Note" --tag inbox < /dev/null

Open/read a note by ID

grizzly open-note --id "NOTE_ID" --enable-callback --json

Append text to a note

echo "Additional content" | grizzly add-text --id "NOTE_ID" --mode append --token-file ~/.config/grizzly/token

List all tags

grizzly tags --enable-callback --json --token-file ~/.config/grizzly/token

Search notes (via open-tag)

grizzly open-tag --name "work" --enable-callback --json

Options

Common flags:

  • --dry-run - Preview the URL without executing
  • --print-url - Show the x-callback-url
  • --enable-callback - Wait for Bear's response (needed for reading data)
  • --json - Output as JSON (when using callbacks)
  • --token-file PATH - Path to Bear API token file

Configuration

Grizzly reads config from (in priority order):

  1. CLI flags
  2. Environment variables (GRIZZLY_TOKEN_FILE, GRIZZLY_CALLBACK_URL, GRIZZLY_TIMEOUT)
  3. .grizzly.toml in current directory
  4. ~/.config/grizzly/config.toml

Example ~/.config/grizzly/config.toml:

token_file = "~/.config/grizzly/token"
callback_url = "http://127.0.0.1:42123/success"
timeout = "5s"

Notes

Read the whole SKILL.md on GitHub

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