Can I customize the tables after deployment?

Absolutely. The skill provides the SQL templates which can be modified by Claude to include additional columns or constraints specific to your application requirements.

What is the Agentic Platform Contract?

It is a standardized database schema designed to normalize how AI agent data—such as runs, events, artifacts, and tool calls—is stored and tracked across different applications.

Does this skill support multi-tenant applications?

Yes, the schema templates include Row-Level Security (RLS) best practices to ensure that agent data is securely partitioned for multi-tenant environments.

How do I apply the schema to my Supabase project?

You can use the provided bash script to run migrations or apply the SQL templates directly through the Supabase dashboard or CLI.

Supabase Agentic Platform Schema

Name: Supabase Agentic Platform Schema
Author: vanman2024

byvanman2024

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データベース管理

Deploys standardized Supabase database schemas for tracking AI agent runs, events, artifacts, and tool calls.

概要

The Supabase Agentic Platform Schema skill provides a turnkey solution for developers building AI-driven applications that require robust observability and history tracking. By implementing a standardized 'Agentic Platform Contract,' this skill automates the creation of essential tables for managing agent execution runs, streaming event logs, storing generated artifacts, and auditing tool/function calls. It is designed to bridge the gap between AI logic and structured data storage, offering production-ready templates complete with Row-Level Security (RLS) and optimized indexing for high-performance querying.

主な機能

Pre-configured Row-Level Security (RLS) for secure multi-tenant apps
2 GitHub stars
Standardized tables for agent runs, events, artifacts, and tool calls
Automated Supabase migration scripts for rapid deployment
Common query patterns for run history and performance analysis
JSONB optimization for storing complex agent execution data

ユースケース

Building the backend infrastructure for autonomous AI agents
Implementing audit logs and replay capabilities for LLM tool interactions
Creating multi-tenant dashboards to monitor agentic workflows and outputs

概要

主な機能

Pre-configured Row-Level Security (RLS) for secure multi-tenant apps
2 GitHub stars
Standardized tables for agent runs, events, artifacts, and tool calls
Automated Supabase migration scripts for rapid deployment
Common query patterns for run history and performance analysis
JSONB optimization for storing complex agent execution data

ユースケース

Building the backend infrastructure for autonomous AI agents
Implementing audit logs and replay capabilities for LLM tool interactions
Creating multi-tenant dashboards to monitor agentic workflows and outputs