autoskill

To automate skill discovery from screen capture data, this Skill detects and classifies repetitive user workflows, then suggests new skills based on those patterns. It requires the screenpipe tool for capture and a local LLM backend to analyze and generate skill proposals.

Yes, workflow analysis for skill composition requires a local LLM backend. The Skill uses the local LLM to process screenpipe capture data, classify repetitive workflows, and generate suggestions for composing custom skills tailored to your specific tasks.

The best way to combine existing skills for repetitive task automation is through skill composition, which merges existing skills to streamline specific tasks. This Skill identifies your repeated workflows from screen capture data and suggests custom skill compositions to automate them.

Yes, you can use screenpipe for detecting user workflows in scientific research automation. By capturing screen data, this Skill identifies repetitive research workflows and suggests new or composed skills to automate those processes, reducing manual effort and saving time.

Skill composition handles screen capture data by using sentence-transformers and a local LLM to detect and classify workflow patterns. Based on these identified repetitive tasks, it suggests new or composed skills, enabling customized workflow generation for scientific research or personal productivity.