Skills.sh is up to around 90k AI agent skills now, and I wanted to understand how people are actually using the format to build reusable workflows, so I scraped a large portion of it. The scraper is here if you want to run it yourself: agent-skills-scraper A few things that stood out after going through the data: Most entries are task-specific instructions rather than anything truly reusable There’s no consistent format across skills, everyone’s doing their own thing The use cases skew heavily toward software and dev work A lot of overlap in functionality across different entries Right now it reads more like a loose collection of experiments than a stable, reliable layer you’d build on. That might change in the future, but it’s certainly not there yet imo. Curious whether people here are actually building on top of skills, or mostly just treating them as a fancier kind of prompt template? submitted by /u/zack_code
Originally posted by u/zack_code on r/ArtificialInteligence