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persona-design

Define AI identities across four dimensions with a five-step validation process.

154|38|Updated May 4, 2026
Search Tags:#workflow#consistency#behavior#identity#system-prompt#role-design
One-click install
npx skills add https://github.com/kangarooking/system-prompt-skills --skill persona-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: persona-design
Source: https://github.com/kangarooking/system-prompt-skills/tree/main/persona-design
Command: npx skills add https://github.com/kangarooking/system-prompt-skills --skill persona-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps product teams define a stable AI identity with explicit capability boundaries, ensuring consistent system prompts and predictable behavior across use cases. It prevents role confusion and brand drift by formalizing who the AI is, what it can do, and how it should relate to users.

Core Features & Use Cases

  • Four-identity framework: Role Declaration, Capability Boundary, Behavioral Modifiers, and Relationship Framing to compose a clear AI identity.
  • Execution blueprint: A 5-step process to create, validate, and lock in identity across product contexts.
  • Guided testing: A self-check routine to verify the AI's self-introduction matches the defined identity and remains consistent under clarifying questions.
  • Use cases include: designing a new system prompt for a chat assistant, differentiating roles across scenes (teaching, coding, coaching), and aligning identities across related products while preserving brand voice.

Quick Start

Provide a concise identity brief that captures the AI's name, core role, and top 2-3 boundaries.

Frequently Asked Questions about persona-design

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

FAQPage Schema
How do I design a consistent AI identity for predictable system prompts?▼

Designing a consistent AI identity requires defining four orthogonal dimensions: Role Declaration, Capability Boundary, Behavioral Modifiers, and Relationship Framing. This framework prevents role confusion and brand drift by formalizing who the AI is and what it can do.

What is the best way to adapt AI roles for different use cases without losing consistency?▼

Adapting AI roles across scenes like teaching, coding, or coaching requires a 5-step execution process to create, validate, and lock in identity. This ensures the system prompt maintains consistent behavior while differentiating roles for specific product contexts.

Why does my AI assistant experience role confusion and brand drift across sub-products?▼

Role confusion and brand drift occur when an AI lacks explicit capability boundaries. Defining a stable identity with clear relationship framing and behavioral modifiers aligns related products while preserving the brand voice and preventing unpredictable responses.

How do I validate a system prompt to ensure it matches the defined AI behavior?▼

Validate system prompts using a guided self-check routine that verifies the AI's self-introduction matches the defined identity. This testing process ensures the behavior remains consistent even when the AI faces clarifying questions from users.

Do I need a complex setup to start defining an AI identity for my chat assistant?▼

You can start defining an AI identity by providing a concise identity brief capturing the AI's name, core role, and top 2-3 boundaries. This minimal input is sufficient to begin composing and validating the initial system prompt for your chat assistant.

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