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ai-analyst-labai-analyst-labOfficial·7 Agent Skills Included

ai-analyst

Turn business questions into validated analyses and slide decks

Runs end-to-end product analytics from a plain business question to a validated slide deck with speaker notes. Connects CSV, DuckDB, Postgres, BigQuery, or Snowflake data, then frames questions, explores data, finds root causes, and checks findings for errors like Simpson's Paradox. Remembers your corrections, metric definitions, and proven SQL patterns across sessions so repeat analyses get faster and more accurate.
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npx skills add ai-analyst-lab/ai-analyst --all -g -y
Available:

Instructs your AI agent to act as a product analyst, routing each question by complexity to the right skills and pipeline steps while enforcing validation and quality rules.

All Skills in This Repository (7)

Pure Emerald Level Indicators
📦 In Repo
ai-analyst-labai-analyst-lab

Presentation Themes

Apply standardized slide themes to decks for consistent visuals and typography.

Official
Basic
📦 In Repo
ai-analyst-labai-analyst-lab

Datasets

List connected datasets with status and usage metrics from data_sources.yaml.

Official
Intermediate
📦 In Repo
ai-analyst-labai-analyst-lab

Tracking Gap Identification

Identify data gaps and generate prioritized instrumentation requests for engineering.

Official
Advanced
📦 In Repo
ai-analyst-labai-analyst-lab

/setup

Automate a four-phase interview to populate a knowledge workspace.

Official
Advanced
📦 In Repo
ai-analyst-labai-analyst-lab

Run Pipeline

Execute a DAG-based data analysis pipeline to generate a validated slide deck.

Official
Advanced
📦 In Repo
ai-analyst-labai-analyst-lab

Stakeholder Communication Matrix

Frame analytics findings for executives, product teams, engineers, and data teams.

Official
Advanced
📦 In Repo
ai-analyst-labai-analyst-lab

First-Run Welcome

Route new users through guided onboarding based on setup state.

Official
Intermediate

Frequently Asked Questions

FAQPage Schema
How to install AI Analyst?▼

Run `npx skills add ai-analyst-lab/ai-analyst --all -g -y` in your terminal to install all skills in this suite globally.

What data sources does AI Analyst support?▼

It connects to local CSV files, DuckDB, MotherDuck, PostgreSQL, BigQuery, and Snowflake through a guided /connect-data wizard. No bundled datasets are included, so you always analyze your own data.

How do I run a full analysis?▼

Use /run-pipeline with your data path and business question, and it orchestrates 18 agents across framing, analysis, storytelling, and deck creation. You can also run smaller plans like deep_dive or quick_chart.

Can I use AI Analyst without SQL experience?▼

Yes. You ask questions in plain English and the agent writes and validates the queries, while a guided /setup interview adapts the output detail to your technical level.

Does AI Analyst check its own results for errors?▼

Yes. Every analysis runs multi-layer validation including source tie-outs, segment-first Simpson's Paradox checks, and confidence scoring before findings are presented.

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