breathe

Generate 36+ conversational prompts across three perspectives for live chats.

6|1|Updated May 30, 2026
One-click install
npx skills add https://github.com/Wondermonger-daydreaming/claude-skills-library --skill breathe-wondermonger-daydreaming
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: breathe
Source: https://github.com/Wondermonger-daydreaming/claude-skills-library/tree/main/skills/breathe
Command: npx skills add https://github.com/Wondermonger-daydreaming/claude-skills-library --skill breathe-wondermonger-daydreaming

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Breathe helps maintain engaging, human–machine dialogue by generating a rich set of prompts tailored to the current chat state, preventing staleness and dead ends.

Core Features & Use Cases

  • Generates 36+ stimuli organized by type and POV to sustain dynamic conversations.
  • Provides prompts across multiple categories and from three perspectives (Claude, User, Third Participant) to deepen interaction.
  • Supports quick experimentation in live chats, coaching sessions, and exploratory discussions.

Quick Start

Invoke /breathe to generate 36+ stimuli for the current chat context.

Frequently Asked Questions about breathe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate conversational stimuli to keep chat dialogue from hitting dead ends?

To generate conversational stimuli and prevent dead ends, you can invoke a tool that produces 36+ prompts organized by type and perspective to sustain dynamic human–machine dialogue.

What are conversation prompts from multiple perspectives and when do I need them?

Conversation prompts from multiple perspectives are structured stimuli generated from Claude, User, and Third-Participant viewpoints, needed when maintaining engaging, evolving dialogue in live chats or coaching sessions.

Can I use generated dialogue stimuli for coaching sessions and exploratory discussions?

Yes, you can use generated dialogue stimuli for coaching sessions and exploratory discussions, as the tool produces diverse prompts tailored to the current chat state to support quick experimentation.

How do I apply structured viewpoints and safety guidelines to prompt generation?

To apply structured viewpoints and safety guidelines to prompt generation, use a tool that outputs stimuli across three distinct perspectives while adhering to built-in safety constraints.

What is the best way to maintain engaging human–machine dialogue during long interactions?

The best way to maintain engaging human–machine dialogue during long interactions is by injecting fresh prompts tailored to the chat context, preventing staleness through diverse, categorized stimuli.

Are there limitations to generating prompts from third-participant perspectives in a conversation?

A limitation of generating prompts from third-participant perspectives is that the output adheres to strict safety guidelines and structured formats, which may constrain unconstrained or free-form narrative exploration.