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Analytics Engineer

Orchestrate Gemini AI prompts to analyze datasets and chart images into structured JSON insights.

Updated Jan 18, 2026
Search Tags:#analytics#multimodal#reporting#gemini#prompt-engineering#data-pipelines#chart-analysis
One-click install
npx skills add https://github.com/monam2/traders --skill analytics-engineer-monam2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Analytics Engineer
Source: https://github.com/monam2/traders/tree/main/.agent/skills/agent-analytics
Command: npx skills add https://github.com/monam2/traders --skill analytics-engineer-monam2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data analysts and AI teams need to orchestrate complex data analysis workflows and multi-model prompts for Gemini AI, including chart analysis and structured results.

Core Features & Use Cases

  • Gemini prompt engineering: Design and implement prompts for Gemini AI to drive data analysis and reporting.
  • Multimodal analysis: Integrates chart/image data with numeric data for structured insights.
  • Template-driven pipelines: Reusable analytics workflows to standardize analyses across projects.

Quick Start

Instruct Gemini AI to analyze a provided dataset and its associated chart image to produce a structured JSON with analysis_text, chart_points, recommendation, confidence, and summary.

Frequently Asked Questions about Analytics Engineer

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

FAQPage Schema
How do I analyze datasets and chart images with Gemini for structured insights?▼

Multimodal analytics with Gemini combines numeric datasets and chart images to generate structured insights. This Skill provides prompt orchestration to analyze visual and numeric data together, returning a validated JSON object for reliable downstream ingestion.

How do I get a consistent JSON schema from Gemini data analysis?▼

To get a consistent JSON schema from Gemini data analysis, enforce a strict output structure. This Skill validates the Gemini response into specific fields: analysis_text, chart_points, recommendation, confidence, and summary.

What is multimodal prompt engineering for KPI dashboards?▼

Multimodal prompt engineering for KPI dashboards integrates text-based numeric data with visual chart images to produce unified reports. This approach applies template-driven pipelines to standardize analyses across diverse projects.

Can I use analytics prompt templates for market research across different domains?▼

Yes, you can use analytics prompt templates for market research across different domains. The Skill delivers consistent results by applying reusable, template-driven workflows for Gemini AI.

What is the best way to standardize financial chart analysis using AI?▼

The best way to standardize financial chart analysis using AI is to implement template-driven analytics pipelines. This Skill designs reusable prompts for Gemini to consistently process financial charts and return structured JSON.

What format do I need for downstream ingestion of Gemini AI reporting?▼

For downstream ingestion of Gemini AI reporting, you need a validated JSON object. This Skill enforces a strict schema containing analysis_text, chart_points, recommendation, confidence, and summary to ensure reliable data pipelines.

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