skill-packager

What This Skill Does

The Skill Packager is a comprehensive utility designed to streamline the creation, configuration, and bundling of software projects and data packages within the OpenClaw ecosystem. It acts as an orchestrator for file structures, dependency management, and distribution-ready packaging. By automating the repetitive aspects of scaffolding and organizing project assets, this skill allows users to transform raw development code into professional-grade deployment artifacts. Whether you are packaging a single Python script, a complex library, or a set of configuration files for deployment, this skill ensures that all metadata, documentation, and source code are structured correctly and adhere to best practices.

Installation

To integrate the Skill Packager into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/binyuli/skill-packager

Once installed, verify the configuration by checking your enabled skills list. The packager automatically scans the working directory to detect existing project structures, allowing for immediate integration with your current workflow.

Use Cases

• Project Scaffolding: Quickly set up standard boilerplate directories and configuration files for new development tasks.
• Asset Bundling: Aggregate disparate files, scripts, and documentation into a single distribution-ready container or archive.
• Dependency Synchronization: Automatically audit and package external requirements for consistent deployment across different agent environments.
• Automated Deployment Preparation: Ready your workspace for CI/CD pipelines by generating the necessary build artifacts and configuration manifests.

Example Prompts

1. "Packager, please bundle the files in the ./src directory and the current requirements.txt into a versioned distribution package named 'alpha-release-v1'."
2. "I need to initialize a new project structure for a Python data analysis tool. Use the packager to set up the standard folders and include a template README."
3. "Scan this directory, detect the project type, and generate a standardized metadata file with all identified dependencies included."

Tips & Limitations

• Tips: Always review the generated manifests before pushing to external repositories. You can pass specific configuration flags to the packager to exclude temporary build files or sensitive local logs.
• Limitations: The skill is designed for standardized project structures; highly customized or idiosyncratic folder architectures may require manual adjustment post-packaging. It does not perform network-level distribution (e.g., uploading to PyPI or GitHub) directly, but serves as the primary engine to prepare the local environment for such actions.