A cross-platform CLI tool for managing Claude Code and Claude Desktop skills. Operations teams use it to deploy, update, and manage AI skills across environments. It connects to Python-based workflows and integrates with existing CI/CD pipelines.
git clone https://github.com/kcchien/skills-cli.gitThe skills-cli is a cross-platform command-line interface designed to manage Claude Code and Claude Desktop skills effectively. This automation skill simplifies the process of skill management, allowing users to quickly deploy, update, and configure their AI capabilities directly from the terminal. By leveraging this tool, developers can enhance their workflow automation and streamline their AI agent skill management processes, making it an essential addition to any tech stack focused on AI automation. One of the key benefits of using skills-cli is the reduction in time spent on manual skill management tasks. While the exact time savings are currently unknown, the intermediate complexity of the tool suggests that users can expect to save significant time compared to traditional methods. This efficiency is particularly valuable for teams working on tight deadlines or those managing multiple AI projects simultaneously. The CLI's straightforward commands allow for rapid skill deployment, which can lead to faster iteration cycles and improved productivity. The skills-cli is particularly suited for developers, product managers, and AI practitioners who are looking to optimize their workflow automation. By integrating this tool into their daily operations, users can ensure that their Claude Code skills are consistently up-to-date and functioning optimally. Whether you are managing a single project or multiple AI agents, skills-cli provides the flexibility and control needed to enhance your AI-first workflows. Implementation of skills-cli requires an intermediate level of technical knowledge, making it accessible for those familiar with command-line interfaces. With an estimated setup time of just 30 minutes, users can quickly integrate this tool into their existing processes. As AI automation continues to evolve, tools like skills-cli will play a crucial role in enabling teams to harness the full potential of AI technologies, ultimately driving innovation and efficiency in their projects.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/kcchien/skills-cliCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to use the Skills CLI to manage my AI skills. Here's what I need to do: [TASK]. I'm using [COMPANY] in the [INDUSTRY] sector. Can you guide me through the process?
# Skills CLI Management Guide ## Task: Update Skill in Production 1. **Check Current Skills**: ```bash skills-cli list ``` - Current skills: `data_processor`, `report_generator`, `customer_analyzer` 2. **Update Specific Skill**: ```bash skills-cli update data_processor --version 2.1.0 ``` - Updated `data_processor` to version 2.1.0 3. **Verify Update**: ```bash skills-cli status data_processor ``` - Status: `Active`, Version: `2.1.0`, Last Updated: `2023-10-15 14:30 UTC` 4. **Deploy to Production**: ```bash skills-cli deploy data_processor --env production ``` - Deployment initiated. Check logs for completion. ## Next Steps - Monitor deployment logs for any errors. - Notify team members of the update.
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