By holistics
Skills for exploring and analyzing data in Holistics using published analytics.
Explain AQL queries and their results, and provide data insights. Use this whenever the user asks what a query does, wants to understand results, or needs to dig deeper into why a metric changed.
Search Holistics documentation to answer questions about features, syntax, or concepts. Use this whenever the user asks how something works in Holistics, needs documentation references, or the answer requires looking up Holistics knowledge rather than relying on assumptions.
Use this skill to set up Holistics MCP and enable useful tools such as `execute_aql` and `generate_viz`
Search and use visualizations that already exist in the project to provide fast and curated data answers.
Create charts, tables, and visualizations from queries. Use this whenever the user wants to see data as a chart or formatted table, or asks for a visualization.
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Holistics is a modern BI platform that aims to enable self-service data access for entire organization by leveraging analytics-as-code and AI.
This repository contains skills to execute Holistics workflows more efficiently and effectively, including developing analytics and comsuming analytics to gain insights.
Within claude code, run this command to add Holistics skills marketplace:
/plugin marketplace add holistics/skills
Then, browse and install the relevant plugins via /plugin > Marketplaces > holistics-skills > Browse plugins > Install
(Optional) enable auto-update via /plugin > Marketplaces > holistics-skills > Enable auto-update
Skills for exploring, analyzing, and developing analytics code in Holistics Development environment.
npx claudepluginhub holistics/skills --plugin holistics-reportingConnect to Looker and interact with your data using LookML.
AI-powered product analytics: ask a business question, get validated findings, publication-quality charts, and a slide deck.
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.
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
MCP Server for Metabase - 111 tools for SQL generation, dashboard management, and PostgreSQL integration
Data analysis, visualization, and storytelling skill for financial and RevOps contexts