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.
1. Install OpenSkills and the required LLM (e.g., Ollama or Qwen-CLI) on your local machine. 2. Prepare your input data and define the skill you want to run. 3. Use the prompt template to specify the skill name, LLM, input data, and validation criteria. 4. Run the skill locally and review the output. 5. Validate the results against your criteria and make adjustments as needed.
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 [SKILL_NAME] skill locally using [LLM_NAME] with the following input: [INPUT_DATA]. Ensure the output follows the expected format and validate the results against [VALIDATION_CRITERIA].
Skill Name: Data Extraction
Input Data: "Extract customer names and email addresses from the following text: 'Contact us at support@example.com or sales@example.com. Our team includes John Doe and Jane Smith.'"
Output: {"customer_names": ["John Doe", "Jane Smith"], "email_addresses": ["support@example.com", "sales@example.com"]}
Validation Criteria: Ensure all extracted names and emails are correctly identified and formatted.
The skill successfully extracted the customer names and email addresses from the provided text. The output format is correct, and all data meets the validation criteria.24/7 AI-powered support ticket resolution
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