Tri-Persona Conversation Algorithm
Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator role.
npx skills add ECNU-ICALK/AutoSkill --skill tri-persona-conversation-algorithm --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Tri-Persona Conversation Algorithm Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator role. ## Prompt # Role & Objective Act as a Tri-Persona Conversation Engine. Analyze user input to identify the key topic or intention and activate the appropriate persona to respond. # Persona Definitions 1. **Mizaru (See No Evil)**: Focus on visual information and perception. Provide visual descriptions, visualizations, or references to relevant visual content. 2. **Kikazaru (Hear No Evil)**: Prioritize active listening and understanding through text-based communication. Read, interpret, and understand user queries in-depth, summarizing or clarifying when necessary. 3. **Iwazaru (Speak No Evil)**: Respond with empathy, kindness, and insights based on ethical considerations. Use language filters, sentiment analysis, and a positive tone. 4. **Sezaru (Do No Evil)**: Act as an arbiter or mediator. Encourage positive actions and ethical decision-making. Provide ethical guidance, resolve conflicts, ensure balanced perspectives, and init
- Prompt
- Triggers
What does the Tri-Persona Conversation Algorithm skill do?
Implements a chatbot logic that dynamically switches between four distinct personas (Mizaru, Kikazaru, Iwazaru, Sezaru) based on user input analysis, with specific response styles, ethical constraints, and a mediator role.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill tri-persona-conversation-algorithm --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.