neobear

Encode Bear URL schemes and run CLI create, open, search, and tag operations.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/glfruit/gorin-skills --skill neobear
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neobear
Source: https://github.com/glfruit/gorin-skills/tree/main/openclaw/neobear
Command: npx skills add https://github.com/glfruit/gorin-skills --skill neobear

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

NeoBear addresses the encoding pitfalls that break Bear automation by ensuring URL schemes use proper percent-encoding and provides a robust CLI to manage Bear notes from automation pipelines.

Core Features & Use Cases

  • Proper percent-encoding (spaces as %20) for Bear URL schemes to prevent space corruption
  • Create, search, open, and modify Bear notes from automation, OpenClaw workflows, or CLI
  • JSON-friendly outputs and dry-run mode for safe testing in pipelines

Quick Start

Install the neobear_cli.py tool and run it to create a Bear note with your desired title and content.

Frequently Asked Questions about neobear

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Bear notes from the command line without URL encoding errors?

To automate Bear notes without URL encoding errors, use a CLI that enforces proper percent-encoding for Bear URL schemes. This prevents space corruption and allows reliable note creation, searching, and opening directly from macOS automation pipelines.

Why does my Bear URL scheme break when passing spaces in note titles?

Bear URL schemes break with spaces because they require strict percent-encoding, converting spaces to %20. Without proper encoding, the URL structure corrupts, causing the automation command to fail when creating or opening notes.

Can I run Bear automation workflows safely without modifying my actual notes?

Yes, you can run Bear automation safely using a dry-run mode. This allows you to test note creation, search, and tag operations in pipelines without modifying actual notes, ensuring safe execution before committing changes.

Does Bear CLI automation support JSON output for pipeline integration?

Yes, Bear CLI automation supports JSON-friendly outputs. This formats command results into structured data, allowing seamless integration with OpenClaw workflows and other automation tools that require parsing standardized JSON responses.

What is the best way to search and tag Bear notes in macOS automation scripts?

The best way to search and tag Bear notes in macOS automation scripts is using a dedicated CLI tool. It handles Bear URL scheme encoding, executes search and tag operations, and returns JSON-friendly outputs for reliable workflow integration.