clawdhub

What This Skill Does

The clawdhub skill serves as the primary interface for the OpenClaw agent ecosystem, enabling seamless management of agent capabilities via the ClawdHub CLI. It allows users to search the public registry, install new functionalities, maintain version control, and publish custom-built skills directly to clawdhub.com. By acting as a package manager for AI agent logic, it bridges the gap between local development and collaborative distribution. Whether you are scaling an agent's expertise or integrating third-party tools, this skill provides the necessary commands to keep your OpenClaw environment synchronized with the latest software updates and security patches.

Installation

To begin using ClawdHub, ensure you have Node.js installed on your system. You can install the CLI globally by running: npm i -g clawdhub. Once installed, you may need to authenticate if you intend to publish your own skills by using the clawdhub login command. By default, the CLI will look for and install skills into a local ./skills directory, though this can be configured using environment variables or flags.

Use Cases

• Rapid Skill Discovery: Quickly search the community registry for specialized tools like 'postgres backups' or 'web scraping' without manual configuration.
• Version Control: Ensure that your AI agent is running the latest stable release of a skill to avoid bugs or missing features.
• CI/CD Integration: Automate the deployment of custom agent skills by using the publish command in your CI pipelines, allowing for seamless updates to shared agent architectures.
• Environment Syncing: Keep multiple agent instances consistent by using the update --all command to batch-upgrade all installed dependencies.

Example Prompts

1. "ClawdHub, search for available skills related to sentiment analysis and install the one with the highest community rating."
2. "Update my installed skills to the latest versions, and force an override if there are any checksum mismatches."
3. "Publish the skill in my current folder as 'data-processor' with version 1.0.1 and include the changelog: 'Optimized memory usage for large datasets'."

Tips & Limitations

• Registry Customization: If you are operating in an enterprise environment, use the CLAWDHUB_REGISTRY environment variable to point the CLI to a private internal registry.
• Safety Check: Always review the changelog of a skill before performing a bulk update, as version changes may introduce breaking API changes in your local agent workflow.
• Permissions: Note that because this tool installs binaries and updates local files, it requires sufficient write permissions in your target working directory. Use the --force flag with caution as it can overwrite local modifications.