metabase-modular-embedding-to-modular-embedding-sdk-upgrade

A Metabase skill that understands the YAML-based on-disk representation of database metadata (databases, tables, fields) synced from a Metabase instance. Enables reading, editing, and reasoning about schema structure, column types, and FK relationships through diff-friendly YAML files.

A collection of agent skills for working with Metabase, covering the mb CLI for terminal-driven operations, database metadata exploration, embedding SSO implementation, and full-app to modular embedding migration. Built for Claude Code with compatibility for other AI coding agents.

A skill for understanding and working with the Metabase Representation Format, a YAML-based serialization format for Metabase content including collections, cards, dashboards, documents, segments, and more. Covers entity schemas, MBQL/native queries, visualization settings, and validation.

Validates Metabase Representation Format YAML files for referential integrity by checking cross-entity references and compiling MBQL queries to SQL against database metadata. Runs after schema validation to ensure collection IDs, dashboard references, and column references all resolve correctly.

Upgrades a project's Metabase modular embedding SDK or embed.js to a newer version, handling migration of embedding integration code and configuration changes.

Implements JWT SSO authentication for Metabase embedding including modular embedding, SDK integration, and full app iframe-based embedding with user identity and group mappings.

A migration skill that converts Metabase full-app/interactive iframe-based embedding to modular web-component-based embedding, handling iframe replacement with components like metabase-question and metabase-dashboard, embed.js setup, and SSO endpoint modifications.

Migrates Metabase static embedding (signed iframe approach) to guest embedding using web components via embed.js. Follows a structured 6-step workflow covering version detection, project scanning, embed mapping, code migration, and validation.

Guides the first-time setup of the Metabase React SDK for embedding dashboards, covering instance detection, API key configuration, dashboard discovery, JWT authentication, SDK installation, and initial embedding code generation. Provides a step-by-step interactive workflow that validates prerequisites before proceeding.

Skill