Tessl

Had a great time speaking at Tessl's DevCon last fall. Their approach to agents and skills is super compelling, and their commitment to open source is as well.I'm definitely going to incorporate this into my rapidly evolving agentic development process!

I've been thinking about this versioning and packaging of skills for a good whole month now, ever since the whole Clawdbot thing came to life. Really like seeing this from Tessl because I'd want to rely on you building this so I don't need to maintain and worry about it. Looks hot, you cooked 🔥

I'm still new and still learning. I do find this quiet interesting and would like to learn more about it...? What kind of tech is used for this type of "training"? How hard was it to make this, and how did u manage to perform this well?

Had a great time speaking at Tessl's DevCon last fall. Their approach to agents and skills is super compelling, and their commitment to open source is as well. I'm definitely going to incorporate this into my rapidly evolving agentic development process!

This feels like the missing layer in the agent stack.Everyone’s shipping “skills” but very few are measuring whether they actually improve outcomes. The versioning + evaluation angle makes a lot of sense.Curious how you think about benchmarking across models? A skill might behave very differently between Claude / GPT / open models.Congrats on the launch — this could quietly become core infra for serious agent teams.

I've been building with Claude Code and the difference between a well-written skill/instruction set and a mediocre one is night and day. The ElevenLabs case study is a compelling proof point. Most people are still treating agent instructions as an afterthought, just a markdown file in the repo. The idea that you can actually evaluate and iterate on them like any other piece of software makes a lot of sense.Congrats on the launch! Excited to see where this goes.

Congrats on the launch!

Hey Product Hunt! 👋Guypo here, founder of Tessl (previously founded Snyk).Today, I’m excited to announce that you can evaluate your skills and optimize them on Tessl. This means you can stop debugging agent output and start shipping quality code, faster: https://tessl.io/registry/skills/submitAgent skills help agents use your products, build in your codebase and enforce your policies.They're the new unit of software for devs - but most are still treated like simple Markdown files copied between repos with no versioning, no quality signal, no updates.Without AI evaluations, you can’t tell if a skill helps, provides minimal uplift or even degrades functionality. You spend your time course-correcting agents instead of shipping. Tessl is a development platform and package manager for agent skills. With Tessl, we were able to evaluate and optimize ElevenLabs' skills, 2x'ing their agent success in using their APIs. If you are building a personal project, maintaining an OSS library, or developing with AI at work, you can now evaluate your skill and optimize it to help agents use it properly.What skills are you working on, and what's your use case for them?