data-analyst

Profile, visualize, and dashboard data from Salesforce, BigQuery, and Looker.

Updated Aug 23, 2026

Search Tags:#data #dashboard #visualization #analyze #bigquery #salesforce #looker

Ready to run

npx skills add https://github.com/ncy08/clear-claude-code --skill data-analyst-ncy08

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-analyst
Source: https://github.com/ncy08/clear-claude-code/tree/main/tools/skills/data-analyst
Command: npx skills add https://github.com/ncy08/clear-claude-code --skill data-analyst-ncy08

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Explore, visualize, and dashboard data from Salesforce, BigQuery, and Looker to turn data into actionable insights.

Core Features & Use Cases

Explore: profile data, flag quality issues, and recommend analysis approaches
Visualize: generate matplotlib or plotly charts saved to disk
Dashboard: build self-contained HTML dashboards with Chart.js

Quick Start

Profile Salesforce data, visualize results, and assemble a self-contained dashboard from Looker data.

Frequently Asked Questions about data-analyst

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

FAQPage Schema

How do I build a dashboard from Salesforce and BigQuery data?▼

You can build a self-contained HTML dashboard from Salesforce, BigQuery, and Looker data using the Dashboard mode, which generates visual outputs with Chart.js. It connects to Salesforce via SOQL, queries BigQuery, and extracts Looker data to assemble interactive dashboard pages.

Can I profile Salesforce data and flag quality issues automatically?▼

Yes, you can profile Salesforce data and flag quality issues automatically using the Explore mode. This feature evaluates your datasets, identifies data quality problems, and recommends analysis approaches to help you understand your data before visualization.

What is the best way to visualize BigQuery results without a dedicated server?▼

The best way to visualize BigQuery results without a dedicated server is to use the Visualize mode, which generates matplotlib or plotly charts saved directly to disk. This allows you to create static or interactive charts locally from your queried data.

Does this data visualization approach work with Looker extracts?▼

Yes, this data visualization approach works with Looker extracts. The Skill directly connects to Looker to retrieve data, which can then be profiled for quality, visualized into charts, or assembled into a self-contained HTML dashboard.

How do I generate interactive charts from BigQuery data?▼

You generate interactive charts from BigQuery data by using the Visualize mode to create plotly charts, or use the Dashboard mode to build HTML pages with Chart.js. Both methods process BigQuery query results into visual formats saved to disk.

What are the limitations of building HTML dashboards from Salesforce data?▼

The primary limitation when building HTML dashboards from Salesforce data is that extraction relies on SOQL, meaning complex relationship queries may require pre-aggregation. Charts and dashboards are generated as self-contained files rather than live connected views.