Alive Analysis
Data analysis workflow kit for AI coding agents. Structure your analysis with the ALIVE loop — Ask, Look, Investigate, Voice, Evolve.
Install
npm install -g alive-analysis-mcpInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →alive-analysis
Structured analysis workflow for AI coding agents — every analysis traceable, repeatable, and team-shareable.
Why this exists
You ask Claude to investigate a metric drop. It gives you an answer. You act on it.
Three months later: "Why did we change that?" — gone. No reasoning, no data checks, no audit trail.
Or you open a new chat and explain the whole context again from scratch, repeating work that already happened.
alive-analysis solves this by turning every analysis into a structured, version-controlled workflow. Claude guides you through a five-stage loop. Each stage produces a markdown file. Everything stays in your repo, searchable by you and by Claude.
The result: a growing knowledge base of how your team thinks, not just what it decided.
How it works
You describe a question → /analysis-new
↓
Claude walks you through 5 stages:
ASK → LOOK → INVESTIGATE → VOICE → EVOLVE
↓
Each stage = one markdown file in analyses/
↓
Files are Git-tracked, full-text searchable,
readable by Claude in future conversations
↓
Six months later: /analysis-search "checkout drop"
→ Claude surfaces context, findings, and follow-ups
Installation
# Clone the repo
git clone https://github.com/with-geun/alive-analysis.git /tmp/alive-analysis
# Install — pick your platform
bash /tmp/alive-analysis/install.sh # Claude Code
bash /tmp/alive-analysis/install.sh --cursor # Cursor
bash /tmp/alive-analysis/install.sh --both # Both
# One-time setup — run in your AI agent chat (not the terminal)
/analysis-init # Configure language, team, data stack, key metrics
/analysis-new # Start your first analysis
That's it. Claude handles the rest.
The ALIVE Loop
Every analysis follows the same five-stage structure. Each stage has a clear purpose, a checklist, and a quality gate before moving forward.
| Stage | Question | Output |
|---|---|---|
| ❓ ASK | What do we want to know — and why? | Hypothesis tree, scope, success criteria |
| 👀 LOOK | What does the data actually show? | Data quality verdict, SQL templates |
| 🔍 INVESTIGATE | Why is it really happening? | Results with confidence levels |
| 📢 VOICE | So what — and now what? | Recommendations, audience-specific messages |
| 🌱 EVOLVE | What would change the conclusion? | Follow-up analyses, impact tracking |
You never skip a stage without a deliberate choice. The loop enforces analytical discipline — even when you're in a hurry.
Three Modes
Full Mode — for decisions that matter
Five separate files, one per stage. ~40-item checklists. All specialist agents available. Use this when the decision is high-stakes, when you'll need to explain your reasoning, or when you want the full audit trail.
analyses/active/F-2026-0303-001_checkout-drop/
├── 01_ask.md
├── 02_look.md
├── 03_investigate.md
├── 04_voice.md
└── 05_evolve.md
Quick Mode — for fast turnaround
Everything in one file. Compressed checklist. Same ALIVE structure, just lighter. Use this for exploratory questions, morning standups, or anything you need in under an hour. If it grows in scope, /analysis-promote converts it to Full automatically.
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