Writing Agent Skills is easy. Writing ones that actually improve agent performance is not.

In this hands-on workshop, you’ll build, test, and iterate on Agent Skills against real Supabase workflows using a prebuilt environment with MCP, CLI tooling, and an eval harness powered by Braintrust.

You’ll start by writing a simple Skill and observing how it changes agent behavior. Then we’ll push further: you’ll modify the Skill, introduce bad patterns, and see how performance shifts — sometimes improving, sometimes getting worse, and sometimes doing nothing at all. Along the way, we’ll surface common failure modes, like Skills that aren’t used, misleading instructions, or changes that look good but don’t hold up under evaluation.

The core loop of the workshop is simple: write a Skill, run evals, inspect results, and iterate. By the end, you’ll have a practical understanding of how to validate Skills, how to avoid common pitfalls, and how to design Skills that actually help agents perform better in real systems.

If you’re working with agents, this workshop will give you the tools to move beyond guesswork and start measuring what actually works.

And if you want to see how these patterns hold up at scale, the follow-up talk on the 9th dives into our eval results and what actually moved the needle in production.

Speaker info:
- https://supabase.com/blog/authors/pedro_rodrigues
- https://www.linkedin.com/in/pedro-neves-rodrigues/

Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase