Quick Reference
Purpose
The Trait DNA Library provides combinable components for creating a unique author persona. Each trait defines a specific writing characteristic that can be combined to form a distinctive author voice.
Core Trait Categories
Voice Patterns:
- Formal: Academic and authoritative declarative style (handa style)
- Conversational: Casual and friendly conversational style (colloquial style)
- Narrative: Story-centered reflective style (narrative style)
- Technical: Precise and specification-centered style
Expertise Domains:
- Architecture: System design and patterns
- Implementation: Practical coding and development
- Industry: Market trends and analysis
- Education: Pedagogy and mentoring
Perspective Styles:
- Analytical: Objective and evidence-based
- Experiential: Personal experience and lessons
- Critical: Questioning and challenging assumptions
- Visionary: Future-oriented and innovative
Tone Characteristics:
- Authoritative: Confident and definitive
- Empathetic: Understanding and supportive
- Provocative: Thought-provoking and challenging
- Nurturing: Patient and encouraging
When to Use
Use this skill in the following situations:
- When defining a new author persona with specific voice traits
- When customizing an existing persona to fit different content types
- When understanding the components of an author voice
- When mixing traits to create a unique writing style
- When ensuring consistent trait application across content
Implementation Guide
Trait Combination System
Persona Assembly Process:
Each author persona is built from four trait layers that work together to create a unique voice. Combinations follow a hierarchical structure in which each layer influences the others.
Voice Pattern Layer (Foundation):
- Defines basic sentence structure and formality
- Sets grammatical patterns and endings
- Establishes the basic communication style
- Example: formal style uses handa style, conversational style uses haeyo style
Expertise Domain Layer (Content):
- Determines the depth of topic-related knowledge
- Influences technical vocabulary selection
- Shapes the selection of examples and metaphors
- Example: architectural patterns vs implementation details
Perspective Style Layer (Lens):
- Controls the manner of information presentation
- Determines the types of evidence that are prioritized
- Shapes the approach to constructing arguments
- Example: data-driven vs experience-based reasoning
Tone Characteristic Layer (Emotion):
- Sets the emotional register and temperature
- Influences reader relationship dynamics
- Determines the level of confidence and certainty
- Example: authoritative confidence vs nurturing patience
Characteristic Interaction Rules
Compatibility Guidelines:
Certain characteristic combinations work naturally together, while others create intentional tension for specific effects.
Natural Combinations:
- Formal voice + architectural expertise + analytical perspective + authoritative tone
- Resulting Persona: Technical Authority (Architect)
- Conversational voice + implementation expertise + experiential perspective + empathetic tone
- Resulting Persona: Practical Developer (Developer)
Intentional Tensions:
- Formal voice + educational expertise + experiential perspective + nurturing tone
- Resulting Persona: Systematic Mentor with a Personal Touch
- Conversational voice + industry expertise + critical perspective + provocative tone
- Resulting Persona: Analyst Who Challenges in Accessible Language
Conflict Avoidance:
- Formal voice conflicts with overly casual expressions
- Analytical perspective conflicts with purely subjective claims
- Authoritative tone conflicts with hesitant evasion
- Educational expertise conflicts with assuming expert knowledge
Characteristic Module Reference
Voice Pattern Modules:
Each voice pattern module defines specific linguistic characteristics and usage patterns. For complete implementation details, refer to the individual module files.
voice-formal.md:
- Korean style: Handa style (declarative formal style)
- Sentence endings: -da, -handa, -doenda
- Grammar patterns: complex sentences with subordinate clauses
- Use cases: technical documentation, analysis, authoritative guides
voice-conversational.md:
- Korean style: Haeyo style (polite conversational style)
- Sentence endings: -eoyo, -haeyo, -jyo
- Grammar patterns: short sentences with conversational markers
- Use cases: tutorials, personal essays, friendly explanations
voice-narrative.md:
- Korean style: Narrative style (narrative storytelling)
- Sentence endings: -da, -eotda, -yeotda
- Grammar patterns: past tense flow with scene setting
- Use cases: memoirs, journey stories, case studies
voice-technical.md:
- Korean style: Technical style (technical specification)
- Sentence endings: -handa, -ida, -doenda
- Grammar patterns: precise definitions and specifications
- Use cases: API documentation, specifications, technical references
Domain Expertise Modules:
Each expertise module defines a knowledge domain and specialized vocabulary.
expertise-architecture.md:
- Focus areas: system design, patterns, scalability
- Core concepts: components, layers, interactions
- Vocabulary: architecture-specific terms
- Example topics: microservices, event sourcing, CQRS
expertise-implementation.md:
- Focus areas: coding practices, tools, frameworks
- Core concepts: code quality, testing, debugging
- Vocabulary: developer-centric terms
- Example topics: React hooks, TypeScript patterns, testing strategies
expertise-industry.md:
- Focus areas: market trends, business impact, adoption
- Core concepts: ROI, adoption curve, competitive analysis
- Vocabulary: business and trend terms
- Example topics: framework comparison, technology selection, market analysis
expertise-education.md:
- Focus areas: learning paths, fundamentals, skill building
- Core concepts: prerequisites, progressive disclosure, scaffolding
- Vocabulary: pedagogy-centric terms
- Example topics: getting started guides, concept explanations, roadmaps
Perspective style modules:
Each perspective module defines reasoning and argumentation approaches.
perspective-analytical.md:
- Approach: evidence-based reasoning with data support
- Argumentation: logical progression from premises to conclusions
- Evidence types: statistics, benchmarks, research findings
- Strengths: objective credibility and defensibility
perspective-experiential.md:
- Approach: personal experience and lessons learned
- Argumentation: story-based with reflective insights
- Evidence types: anecdotes, case studies, hands-on experience
- Strengths: relatable authenticity and practical wisdom
perspective-critical.md:
- Approach: questioning assumptions and challenging norms
- Argumentation: devil's advocate and contrarian analysis
- Evidence types: counterexamples, edge cases, limitations
- Strengths: thought-provoking depth and nuance
perspective-visionary.md:
- Approach: future-oriented and trend extrapolation
- Argumentation: possibility-driven with future scenarios
- Evidence types: emerging patterns, early indicators, predictions
- Strengths: inspiring innovation and strategic thinking
Tone characteristic modules:
Each tone module defines an emotional register and reader relationship.
tone-authoritative.md:
- Register: confident and definitive
- Reader relationship: expert to learner
- Confidence level: high with clear statements
- Language markers: assertive verbs, declarative tone
tone-empathetic.md:
- Register: understanding and supportive
- Reader relationship: mentor to mentee
- Confidence level: balanced with acknowledgment
- Language markers: inclusive "we", acknowledging expressions
tone-provocative.md:
- Register: challenging and thought-provoking
- Reader relationship: provocateur to critical thinker
- Confidence level: strong opinions with invitation to discuss
- Language markers: rhetorical questions, contrarian statements
tone-nurturing.md:
- Register: patient and encouraging
- Reader relationship: guide to explorer
- Confidence level: cautious with reassurance
- Language markers: soft imperative, acknowledging progress
Advanced patterns
Creating a custom persona
To create a new persona using the trait system:
Step 1: Select a primary voice pattern
- Choose a base Korean writing style
- Consider the target content type and formality
- Example: formal Handa style for technical authority
Step 2: Select a domain of expertise
- Identify primary knowledge areas
- Choose vocabulary and concept pools
- Example: architecture expertise for system design content
Step 3: Define a perspective style
- Determine the reasoning and evidence approach
- Choose argumentation patterns
- Example: analytical perspective for objective analysis
Step 4: Set tone traits
- Choose emotional register and reader relationship
- Define levels of certainty and confidence
- Example: authoritative tone for expert positioning
Step 5: Verify trait compatibility
- Check for natural combinations or intentional tension
- Check that there are no conflicting traits
- Test with sample content
Trait mixing strategies
Single dominant pattern:
- One trait dominates while others provide subtle influence
- Example: formal voice with hints of an empathetic tone
- Use case: making technical content more accessible
Balanced mix:
- Multiple traits contribute equally
- Example: conversational voice + analytical perspective + nurturing tone
- Use case: friendly yet rigorous educational content
Intentional contrast:
- Contrasting traits create a unique style
- Example: formal voice + provocative tone
- Use case: academic writing with challenging questions
Context-dependent switching:
- Different trait combinations for different sections
- Example: formal in explanations, conversational in examples
- Use case: varied pacing and engagement
Module reference
Voice pattern modules:
- voice-formal.md - Formal declarative Korean style
- voice-conversational.md - Conversational polite style
- voice-narrative.md - Narrative storytelling style
- voice-technical.md - Technical specification style
Domain expertise modules:
- expertise-architecture.md - System design and patterns
- expertise-implementation.md - Practical development
- expertise-industry.md - Market and business analysis
- expertise-education.md - Pedagogy and learning paths
Perspective style modules:
- perspective-analytical.md - Evidence-based reasoning
- perspective-experiential.md - Experience-based insight
- perspective-critical.md - Questions and challenges
- perspective-visionary.md - Future-oriented analysis
Tone trait modules:
- tone-authoritative.md - Confident and assertive
- tone-empathetic.md - Understanding and supportive
- tone-provocative.md - Challenging and thought-provoking
- tone-nurturing.md - Patient and encouraging
Things that work well together
Skills:
- personas - use trait combinations in 8 author persona definitions
- protocols - apply traits in solo, crew, and adaptive modes
- writing-standards - reinforce trait consistency with quality rules
Agents:
- author-router - select persona based on trait requirements
- writer-* - implement specific trait combinations for each persona
Commands:
- post - coordinate trait-based persona selection and writing
Quality standards
Trait application requirements:
- Each trait must be applied consistently across the content
- Trait combinations must be validated for compatibility
- Voice patterns must match the target Korean writing style
- Expertise vocabulary must be appropriate to the domain
- Perspective reasoning must match the type of evidence
- Tone must maintain a consistent reader relationship
Validation checklist:
- Check consistency of voice pattern endings
- Check accuracy and appropriateness of expertise terminology
- Check alignment of perspective style and argumentation approach
- Check alignment of tone traits and emotional register
- Check that there are no unintended effects due to conflicting traits
- Check whether the trait mix effectively contributes to the content purpose
Version: 2.0.0 Last Updated: 2026-01-06 Category: Compositional Writing System Type: Trait Definition Library Status: Production Ready