ai-analyst-lab

ai-analyst-lab / ai-analyst-genome

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AI Analyst Genome — self-contained bootstrap for building AI Data Analyst products with Claude Code. Powered by AI Analyst Lab.

22
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100% credibility
Found Feb 20, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A blueprint document that instructs an AI coding assistant to self-construct a full AI-powered data analysis system based on user-provided details about their data and goals.

How It Works

1
🔍 Discover the Blueprint

You stumble upon the AI Analyst Genome while searching for an easy way to get an AI helper that analyzes your business data without coding.

2
📥 Grab the Files

Copy the two simple files into a new empty folder on your computer to get started.

3
💬 Answer Simple Questions

Open your AI coding buddy, and it guides you through just 7 friendly questions about your data location, analysis goals, and audience.

4
🔨 Let It Build Itself

The AI reads the blueprint and automatically creates all the smart agents, tools, helpers, and pipelines tailored just for you.

5
⏳ Wait for Completion

Over a few short sessions, it finishes building everything, tracking progress so you can pause and resume anytime.

🎉 Your AI Analyst is Ready

Now you have a complete AI data analyst that turns business questions into explored data, validated insights, and polished slide decks.

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AI-Generated Review

What is ai-analyst-genome?

ai-analyst-genome bootstraps a full AI data analyst product using Claude Code on Amazon Bedrock or similar setups, with Python-based helpers for charts, SQL, and data access. Drop it into an empty repo, answer seven questions on your data sources like Snowflake or BigQuery and analysis targets, and it auto-generates 19 agents, 30 skills, and a pipeline from question framing to slide decks. It's for analysts ditching manual workflows, delivering validated insights and presentations without coding agents yourself.

Why is it gaining traction?

Unlike static data analyst github projects or business analyst github repos that require custom scripting, this self-builds via AI debate and execution, spitting out tiered setups—minimal for exploration, full for end-to-end storytelling—in 3-5 sessions tracked by status files. The hook is zero-boilerplate speed: clone, run `claude`, answer prompts, resume anytime. Early buzz in ai analyst github circles for turning prompts into deployable pipelines.

Who should use this?

Data analysts building github data analyst portfolios or business analyst github profiles with quick AI demos. Genome analysts hunting remote jobs in Toronto, Bangalore, or Chennai, or SOC analysts on github needing descriptive analytics pipelines without ML overhead. Suits dia analyst github tinkerers automating funnels, cohorts, and trends from business questions.

Verdict

With 15 stars and 1.0% credibility, it's raw and untested—great docs but no real-world proof yet. Try it if you're a data analyst github projects fan experimenting with Claude agents; otherwise, wait for maturity before production.

(198 words)

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