Supabase's Pedro Rodrigues on AI Agents and Context
Pedro Rodrigues from Supabase discusses how 'Skills' and the MCP framework improve AI agent context and performance. Learn key principles for building effective product skills.
6 min read

Visual TL;DR
From the article 3 mentionsPedro Rodrigues, an AI tooling engineer at Supabase, recently presented at AI Engineer Europe on the topic of "Combine Skills and MCP to Close the Context Gap." His talk focused on the crucial role of providing AI agents with the right guidance and context to perform tasks effectively.
folders with instructions, scripts, and resources for agents to load
From the article 9+ mentionsHe explained that Supabase has been actively working on building these skills for their product.
framework to improve AI agent context and performance
From the article 2 mentionsThe evaluations compared a baseline performance, an 'MCP Only' condition (likely referring to a specific AI model or framework), and an 'MCP + Skill' condition.
From the article 9 mentionsThe process involved writing a Supabase skill, which meant teaching AI agents about the Supabase product.
measuring how well AI agents perform with skills
From the article 2 mentionsThe results indicated that skills significantly improved agent performance across different models and tasks, particularly in areas like code generation and understanding complex data schemas.
experimental approach for providing context to AI agents
From the articleThe presentation also touched upon an experimental feature: Supabase Docs over SSH.
closing the context gap for better agent performance
From the article 9+ mentionsRodrigues noted that this endeavor was more complex than his previous experience writing his master's thesis, emphasizing the challenges in creating comprehensive and effective documentation for AI agents.
principles for building and implementing AI agent skills
From the articleFor those interested in learning more or getting started with Supabase agent skills, Rodrigues pointed to the Supabase blog and their GitHub repository.
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