honeydew-ai-claude-plugins

Honeydew AI Plugins for Coding Agents

Skills and tools powered by the Honeydew MCP that help coding agents build semantic models and analyze data through natural conversation.

Prerequisites

• A coding agent that supports plugins/skills (e.g., Claude Code, Cursor, or any agent with MCP support)
• A Honeydew AI workspace with the Honeydew MCP server configured

Installation

Claude Code

Add this marketplace to Claude Code:

/plugin marketplace add honeydew-ai/honeydew-ai-claude-plugins

Then install the plugins you need:

/plugin install semantic-modeling-tools@honeydew-ai
/plugin install data-analysis-tools@honeydew-ai

Cursor

1. Go to Cursor Settings -> Rules, Skills, Subagents and click on +New next to Rules.
2. Select Add from GitHub and enter provide the url of this repository.

Other Coding Agents

For coding agents that support MCP, configure the Honeydew MCP server and use the skill files in this repository as prompts or instructions. The skills are written as agent-agnostic markdown documentation that any coding agent can consume.

Available Plugins

Semantic Modeling Tools

Tools for building and managing your Honeydew semantic layer. Includes 6 skills:

Skill	Description
model-exploration	Explore the semantic model — list entities, search fields, inspect relationships, and discover warehouse tables
entity-creation	Create entities — the foundational business concepts built from data warehouse tables
relation-creation	Define relationships between entities with join types, cardinality, and complex join conditions
attribute-creation	Create calculated attributes (dimensions) — per-row virtual columns defined with SQL expressions
metric-creation	Create metrics (KPIs) — reusable aggregations like totals, averages, ratios, and growth rates
validation	Mandatory post-creation validation — type-specific sanity checks, cross-validation, and error handling

Data Analysis Tools

Tools for querying and analyzing data through the Honeydew semantic layer. Includes 2 skills:

Skill	Description
query	Query data using structured YAML perspectives, natural language questions, or multi-step deep analysis
filtering	Advanced filtering syntax — comparisons, string matching, date handling, nulls, and full-text search

Supported Data Warehouses

• Snowflake
• Databricks
• BigQuery

License

Apache 2.0 — see LICENSE for details.