一位AI驱动的产品分析师，生活在Claude代码中。用通俗易懂的英语提出商业问题，获得经过验证的分析、品牌图表和利益相关者准备的幻灯片——只需几分钟，而非几天。

18 代理 |55 技能 |40 辅助模块 |基于 DAG 的并行执行 |PDF + HTML + Google 文档导出

---

这是什么

AI Analyst Plus 将 Claude Code 转变为产品分析系统。它结合了：

• 技能（.claude/skills/）——Claude自动遵循的标准（图表样式、数据验证、问题框架、利益相关者沟通）
• **代理（agents/）——由DAG引擎编排的多步骤分析工作流（问题框架→数据探索→分析→叙事→卡组创建）
• 辅助工具（helpers/）——用于图表、SQL验证、数据连接、统计检验等的Python模块
• 知识（.knowledge/）——用于数据集上下文、修正、经过验证的SQL模式和业务术语表的持久内存

你可以通过与克劳德对话来互动。你可以提问、调用斩击命令，或者让克劳德自己决定该应用哪些技能和特工。

---

快速启动

1.克隆与安装

**2.

AI Analyst Plus

An AI-powered product analyst that lives inside Claude Code. Ask business questions in plain English, get validated analyses, branded charts, and stakeholder-ready slide decks — in minutes, not days.

18 agents | 55 skills | 40 helper modules | DAG-based parallel execution | PDF + HTML + Google Docs export

---

What This Is

AI Analyst Plus turns Claude Code into a product analytics system. It combines:

• Skills (.claude/skills/) — standards Claude follows automatically (chart styling, data validation, question framing, stakeholder communication)
• Agents (agents/) — multi-step analytical workflows orchestrated by a DAG engine (question framing → data exploration → analysis → storytelling → deck creation)
• Helpers (helpers/) — Python modules for charting, SQL validation, data connectivity, statistical tests, and more
• Knowledge (.knowledge/) — persistent memory for dataset context, corrections, proven SQL patterns, and business glossary

You interact by talking to Claude. Ask a question, invoke a slash command, or let Claude figure out which skills and agents to apply.

---

Quick Start

1. Clone and install

git clone https://github.com/ai-analyst-lab/ai-analyst-plus.git
cd ai-analyst-plus
pip install -e ".[dev]"

2. Connect your data (optional)

In Claude Code, run /connect-data to wire up a warehouse (DuckDB, Postgres, BigQuery, Snowflake) or a CSV directory. Curated public datasets with guides live in data/examples/.

3. Start Claude Code

claude

4. Ask a question

What's our conversion rate by device?

Or run the full pipeline:

/run-pipeline question="Why is conversion dropping on mobile?"

---

Don’t Know What to Do? Just Ask.

Claude knows the entire system — every agent, skill, command, and dataset. If you’re stuck:

What can I do with this data?
What should I run to refresh the deck?
How do I connect my own CSV files?
Which agents handle root cause analysis?
Re-run just the chart maker and deck creator.

You don’t need to memorize anything in this README. Think of it as a reference — Claude is the guide.

---

Five Things You Can Do

1. Ask a quick question

What's our conversion rate by device?

Claude queries the data and returns an answer with a chart. Simple questions get answered in under 2 minutes without running the full pipeline.

2. Run a full analysis

/run-pipeline question="What's driving the decline in conversion?"