OpenSkills enables running Claude Skills locally using any LLM. It benefits operations teams by allowing customization and control over AI workflows. It connects to various LLMs like Ollama and Qwen-CLI, integrating into existing automation pipelines.
git clone https://github.com/instavm/open-skills.gitOpenSkills enables running Claude Skills locally using any LLM. It benefits operations teams by allowing customization and control over AI workflows. It connects to various LLMs like Ollama and Qwen-CLI, integrating into existing automation pipelines.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/instavm/open-skillsCopy 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.
Run the OpenSkills automation for [TASK] using [LLM_NAME]. Please provide the necessary parameters such as [PARAMETERS]. Output the results in a structured format, highlighting key insights and actionable items.
Using OpenSkills with the GPT-3 model, I ran an automation task to analyze customer feedback from the last quarter. The analysis revealed that 65% of the feedback was positive, particularly praising the new user interface. However, 20% of the comments expressed frustration with the checkout process. Key insights include: 1) Enhance the checkout experience by simplifying the steps; 2) Continue to promote the new interface features in marketing materials; 3) Conduct a follow-up survey to gather more detailed feedback on the checkout process. Action items for the product team include setting up a meeting to brainstorm solutions for the checkout issues and scheduling a follow-up survey by the end of the month.
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