datalion

Coordinate DataLion analytics workflows via MCP bridge for projects, imports, reports, and codebooks.

126|11|Updated Feb 24, 2026
One-click install
npx skills add https://github.com/HybridAIOne/hybridclaw --skill datalion
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: datalion
Source: https://github.com/HybridAIOne/hybridclaw/tree/main/community-skills/datalion
Command: npx skills add https://github.com/HybridAIOne/hybridclaw --skill datalion

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It solves the problem of manually coordinating DataLion project setup, data import, report/dashboard management, and codebook handling by turning those tasks into a guided, tool-driven workflow.

Core Features & Use Cases

  • Project & settings workflows: list, read, create projects, and merge project defsettings.
  • Data import pipelines: upload CSV-style data and run full Excel/CSV import (including optional codebook generation).
  • Reporting & analytics artifacts: manage reports and report tabs, read chart tables, and handle codebooks (list/download/generate/upload/delete), with browser helpers for UI-only gaps.

Example use case: You need to import an Excel workbook into a specific DataLion project, generate/refresh the codebook during import, then verify chart table output and open the relevant dashboard for widget placement.

Quick Start

Use the datalion skill to create a project in DataLion and then import an Excel workbook into it so reports and codebooks can be prepared.

Frequently Asked Questions about datalion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I import Excel and CSV data into DataLion projects?

To import Excel and CSV data into DataLion projects, you can run a full data import pipeline that uploads CSV-style data and optionally generates a codebook during the process. The workflow confirms the target project before executing the import mutation.

What is a DataLion codebook and when do I need to generate one?

A DataLion codebook defines the metadata structure for your imported dataset. You need to generate or upload a codebook when setting up reporting workflows, ensuring chart tables and dashboard widgets interpret your data variables correctly.

How do I manage DataLion report tabs and dashboard navigation?

Managing DataLion report tabs and dashboard navigation involves creating and updating report subpages, reading chart table outputs, and using browser helpers to open relevant dashboards for widget placement. The workflow uses read-first, write-second semantics.

Can I use an MCP bridge to automate DataLion project settings and reporting workflows?

Yes, you can use an MCP bridge to automate DataLion project management, data imports, and reporting workflows. The bridge coordinates tool calls for listing projects, merging defsettings, and handling codebooks with safe fallback paths.

What are the limitations when uploading codebooks and managing DataLion exports?

Limitations include the requirement to use MCP tools first without inventing tool names, and the necessity to confirm targets before mutations. Browser helpers only cover UI-only gaps where MCP tools lack direct coverage for exports.

Does datalion work with Excel imports and CSV uploads for generating analytics reports?

Yes, datalion supports both Excel imports and CSV uploads for generating analytics reports. It coordinates the entire workflow from project creation and data import to codebook generation and chart table verification.