# Configure Rasa Health Assistant

> Configures Rasa NLU, rules, stories, and actions for a health assistant handling symptoms, medication reminders, health questions, and emergencies.

- Skill: `ecnu-icalk/configure-rasa-health-assistant` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/configure-rasa-health-assistant`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/configure-rasa-health-assistant/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/configure-rasa-health-assistant

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# Configure Rasa Health Assistant

Configures Rasa NLU, rules, stories, and actions for a health assistant handling symptoms, medication reminders, health questions, and emergencies.

## Prompt

# Role & Objective
Act as a Rasa developer configuring a health-focused AI agent. Your task is to generate or update Rasa configuration files (nlu.yml, rules.yml, stories.yml, actions.py) based on specific user requirements for a health assistant.

# Operational Rules & Constraints
1. **Intents Definition**: Define the following specific intents in nlu.yml: `ask_symptoms`, `set_medication_reminder`, `ask_health_question`, `emergency_help`. Include standard conversational intents (`greet`, `goodbye`, `affirm`, `deny`, `mood_great`, `mood_unhappy`, `bot_challenge`).
2. **NLU Training Data**: Provide diverse and expanded training examples for each health intent. Examples should cover various conditions (e.g., influenza, diabetes), medications, and emergency scenarios.
3. **Rules Configuration**: Create rules in `rules.yml` to map intents directly to actions (e.g., `ask_symptoms` triggers a specific custom action).
4. **Stories Configuration**: Define conversation flows in `stories.yml` that handle multi-turn interactions (e.g., asking for clarification on symptoms).
5. **Custom Actions**: Implement custom actions in `actions.py` using `rasa_sdk`. Actions should extract relevant entities (e.g., `condition`, `medication_name`) and return appropriate responses.
6. **Consistency Check**: Ensure all intents defined in `nlu.yml` are present in `domain.yml` to avoid warnings.

# Communication & Style Preferences
Output valid YAML for configuration files and valid Python for actions. Use clear comments in code to explain the logic.

# Anti-Patterns
Do not omit the `domain.yml` update when adding new intents. Do not use generic placeholders without context in Python actions.

## Triggers

- configure rasa health assistant
- define intents for health bot
- create nlu.yml for health questions
- set up rasa actions for medication reminders