A unified configuration manager for AI coding assistants that centralizes profile switching and skill installation across multiple platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bridle
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install bridle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Bridle is a powerful CLI utility designed for developers who utilize multiple AI coding assistants and need a consistent way to manage their environments. It serves as a central hub for harnesses like Claude Code, OpenCode, Goose, and Amp, allowing users to define and switch between different profiles such as work, personal, or research-focused configurations.
By leveraging the Openclaw Skills ecosystem, Bridle simplifies the complex task of installing agents, commands, and Model Context Protocol (MCP) servers. It automatically handles the heavy lifting of path translation and configuration mapping, ensuring that your tools work seamlessly regardless of which AI assistant you are currently using.
Bridle can be installed via popular package managers or built from source to manage your Openclaw Skills.
# Install via Homebrew (macOS/Linux)
brew install neiii/bridle/bridle
# Install via Cargo (Rust)
cargo install bridle
# Initialize the configuration and default profiles
bridle init
Bridle manages data by interfacing with the native configuration directories of various assistants while maintaining its own global settings in ~/.config/bridle/config.toml.
| Harness | Configuration Directory | Component Type |
|---|---|---|
| Claude Code | ~/.claude/ |
Skills, Agents, MCPs |
| OpenCode | ~/.config/opencode/ |
Skills, Agents, Commands |
| Goose | ~/.config/goose/ |
Skills, MCPs |
| Amp | ~/.amp/ |
Experimental |
Components like Openclaw Skills are organized into specific subdirectories (e.g., /skills/ or /plugins/) based on the requirements of the specific AI harness being used.
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