AI Engineer · Video summary
Skill Issue: How We Used AI to Make Agents Actually Good at Supabase — Pedro Rodrigues, Supabase
In this workshop, AI Engineer Pedro Rodrigues discusses how to enhance agent performance at Supabase using skills—structured workflows that improve agent interaction and efficiency. He shares insights on creating, testing, and implementing these skills, highlighting their significance in the development of agent-friendly applications.
Watch on YouTube ↗Key takeaways
- The key to enhancing agent performance at Supabase lies in the use of skills, which are structured workflows that improve agent interactions and efficiency.
- Skills are essentially folders with instructions and files that provide agents with custom information and tools, enhancing their ability to perform tasks.
- The concept of progressive disclosure is crucial, allowing agents to load only the necessary information first, improving decision-making and efficiency.
- Testing skills can be done through evaluations (Evals), which assess the behavior of agents in a nondeterministic manner, allowing for a more comprehensive understanding of their performance.
- The workshop emphasizes a test-driven development approach for skills, where defining metrics and iterating through evaluations is essential for continuous improvement.
- Start creating your own skills for Supabase by defining the skill.md file and structuring your workflows to enhance agent performance.
Chapters
- 0:14👋 Introduction
- 0:37📚 Overview of Skills
- 0:49🔍 Understanding Skill Structure
- 2:21⚙️ Comparing Skills and MCP
- 3:36🧪 Testing Skills
- 5:05📝 Creating a Skill
- 7:14💻 Demonstration Setup
- 8:23🔧 Building the Application
- 17:16📊 Reviewing Application Output
- 18:38🔒 Role-Level Security Discussion
- 20:33📜 Skill for Security Policies
- 23:09🚀 Installing Skills
- 24:03🔄 Resetting Database
- 24:49✅ Final Testing
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