By honeydew-ai
Skills and tools powered by the Honeydew MCP that help coding agents query data and build semantic models
npx claudepluginhub honeydew-ai/honeydew-ai-coding-agents-plugins --plugin honeydew-aiGuides you through defining a relationship between two Honeydew entities — covering join type, direction, cross-filtering, and connection method — then pushes the updated entity YAML to Honeydew via the MCP tools.
Use after creating or modifying ANY Honeydew object (metric, attribute, entity, domain). Provides type-specific validation logic to ensure objects work correctly and return sensible results.
Use when setting up workspace and branch context, switching workspaces or branches, creating or deleting branches, reviewing branch history, or creating a pull request for a working branch. This skill should be used when the user asks to "list workspaces", "switch workspace", "create a branch", "delete a branch", "switch branch", "show branch history", "create a PR", or "open a pull request" in Honeydew.
Guides you step-by-step through defining a calculated attribute (dimension) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.
Guides you through creating context items — instructions, skills, knowledge pointers, and memory events — that give the AI analyst persistent knowledge about your organization. Covers when to create each type, naming conventions, folder organization, and the hard boundary between context (rules and procedures) and the semantic layer (logic and calculations).
Guides you through creating a Honeydew domain — a governance object that scopes entity/field visibility and applies mandatory filters — ideal for setting up contexts for deep analysis.
Guides you through defining a new Honeydew entity from a data warehouse source — covering source type, granularity key, and initial attribute mapping — then pushes to Honeydew via the MCP tools.
Use when the user needs to filter data — whether in a structured query, a metric aggregation, or an attribute expression. Covers filter syntax, date handling, and best practices.
Guides you step-by-step through defining a business metric (aggregation) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.
Use when exploring Honeydew semantic layer, discovering entities/fields, setting up workspace and branch context, or querying data. For creating metrics use metric-creation skill. For creating attributes use attribute-creation skill.
Use when the user wants to query, analyze, or explore data through the Honeydew semantic layer. Covers structured queries and multi-step deep analysis.
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
External network access
Connects to servers outside your machine
Share bugs, ideas, or general feedback.
Explore, query, model, embed, and manage Omni Analytics through the REST API and embed SDK. Includes 9 skills, 3 specialized agents, and 3 context rules for model exploration, querying, model building, content browsing, content building, embedding, AI optimization, AI eval, and administration.
Semantic SQL compiler — compile .view.yml schema definitions into dialect-specific SQL. Unix-philosophy CLI designed as a tool-use interface for LLMs.
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
The most comprehensive SAP Datasphere plugin for Claude. 18 specialized skills covering exploration, data modeling, integration, BW Bridge migration, security architecture, CLI automation, business content activation, catalog governance, performance optimization, and troubleshooting — all through natural language. Powered by 45 MCP tools with enterprise-grade security.
Quick insights from dlt pipeline data. Connect to a pipeline, profile tables, plan charts, and assemble marimo dashboards.