# build_decision_tree

> Generates LaTeX/TikZ code for clinical decision algorithms from simple text or YAML descriptions.

- Source: https://doutorai.pt/en/components/skills__build-decision-tree
- Type: Skills
- Category: Scientific
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/build-decision-tree && curl -fsSL https://doutorai.pt/data/lib/skills__build-decision-tree.md -o .claude/skills/build-decision-tree/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
#!/usr/bin/env python3
"""
Build Clinical Decision Tree Flowcharts in TikZ Format

Generates LaTeX/TikZ code for clinical decision algorithms from
simple text or YAML descriptions.

Dependencies: pyyaml (optional, for YAML input)
"""

import argparse
from pathlib import Path
import json


class DecisionNode:
    """Represents a decision point in the clinical algorithm."""
    
    def __init__(self, question, yes_path=None, no_path=None, node_id=None):
        self.question = question
        self.yes_path = yes_path
        self.no_path = no_path
        self.node_id = node_id or self._genera

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__build-decision-tree