Plugins that let coding agents build semantic models and query data through conversation.
This open-source repository supplies ready-made skills and tools that extend coding agents with Honeydew AI capabilities. It focuses on semantic modeling tasks such as defining entities, relationships, attributes, and metrics directly from warehouse tables.
The skills operate by feeding structured instructions and prompts to any agent that supports MCP or plugin systems. Once connected to a Honeydew workspace, the agent can perform model exploration, validation, and multi-step analysis without manual SQL writing.
It is intended for data teams and developers who already use agents like Claude Code, Cursor, or GitHub Copilot and want to automate semantic layer work inside those tools.
Ask the agent in plain language to retrieve revenue or other metrics; it locates the right entities, executes the query through the semantic layer, and returns results.
Describe a new table and required metrics; the agent imports the table, applies naming conventions, defines attributes and metrics, and validates the output.
Request an explanation for sudden changes such as churn spikes; the agent runs deep analysis across the model and highlights key drivers with supporting data.
/plugin install honeydew-ai@honeydew-ai-claude-pluginsClaude Code, Codex, Cursor, GitHub Copilot CLI, Gemini CLI, and any agent with MCP plugin support.
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