persona

name	persona
description	Create and manage writing personas with NNGroup 4-dimension tone framework (Funny-Serious, Formal-Casual, Respectful-Irreverent, Enthusiastic-Matter-of-fact). Personas define readability targets, sentence length distribution, vocabulary tier, contraction frequency, and summary box label. Used by write and rewrite to enforce consistent voice. Use when user says "persona", "voice", "tone", "writing style", "brand voice", "create persona", "use persona".
user-invokable	true
argument-hint	[create|list|use|show] [persona-name]
license	MIT

Blog Persona - Writing Voice Management

Create, store, and enforce writing personas based on the NNGroup 4-dimension tone framework and CMI Brand Voice Chart. Personas ensure consistent voice across all blog content produced by write and rewrite.

Commands

Command	Purpose
/smart-blog-skills:persona create	Interactive interview to build a new persona
/smart-blog-skills:persona list	Show all saved personas
/smart-blog-skills:persona use <name>	Set active persona for current session
/smart-blog-skills:persona show <name>	Display full persona profile

Create Workflow

Run the 6-step interactive interview. Ask each step, wait for response, then proceed.

Step 1: Brand Basics

Ask the user for:

• Brand name - company or personal brand
• Industry - primary sector (e.g., SaaS, health, finance, education)
• Target audience - who reads the blog (role, experience level, goals)
• One-sentence brand mission - what the brand helps people do

Step 2: Tone Dimensions (NNGroup Framework)

Present each dimension as a 0.0 to 1.0 slider. Explain both ends with examples.

Dimension	0.0 End	1.0 End	Example at 0.0	Example at 1.0
funny_serious	Funny	Serious	"Let's be real, nobody reads Terms of Service"	"Understanding legal agreements protects your business"
formal_casual	Formal	Casual	"We are pleased to announce"	"Guess what - we shipped it!"
respectful_irreverent	Respectful	Irreverent	"We appreciate your patience"	"Yeah, that old way was broken"
enthusiastic_matter_of_fact	Enthusiastic	Matter-of-fact	"This changes everything!"	"Here are the results."

Defaults if user is unsure: [0.6, 0.5, 0.3, 0.5] (slightly serious, balanced formality, respectful, balanced enthusiasm).

Step 3: Writing Rules

Ask the user to pick a vocabulary tier first, then auto-suggest the matching readability band (user can override).

Setting	What to Ask	Default
Vocabulary tier	Consumer, Professional, or Technical	Professional
Readability band	Auto-filled from tier (see table below)	Grade 8-10
Sentence length mean	Average words per sentence	18
Sentence length std	Variation in sentence length	6
Contraction frequency	0.0 (never) to 1.0 (always)	0.6
Max passive voice	Percentage cap on passive constructions	10%

Step 4: Do's and Don'ts (CMI Brand Voice Chart)

Ask for 3-5 items in each list. Provide starter examples based on the tone dimensions.

Example Do's: "Use data to back claims", "Address the reader as you", "Open with a question or stat"

Example Don'ts: "Don't use jargon without defining it", "Don't start sentences with There is/There are", "Don't use cliches like game-changer"

Step 5: Summary Label Preference

The label used for summary/takeaway boxes in blog posts. Ask user to pick one:

• Key Takeaways (default)
• The Bottom Line
• What You'll Learn
• TL;DR
• Quick Summary
• In a Nutshell
• Custom label

Step 6: Voice Samples (Optional)

Ask if the user has 1-3 URLs of existing content that exemplifies the desired voice. Store URLs in the persona for future reference. If provided, read each URL and extract:

• Average sentence length
• Contraction frequency
• Tone dimension estimates
• Vocabulary level

Compare extracted values with the persona settings and flag any mismatches.

Save

Write the completed persona as JSON to: skills/blog/references/personas/<name>.json

Use kebab-case for the filename (e.g., acme-saas.json).

Persona Profile Schema

{
  "name": "acme-saas",
  "description": "Professional SaaS voice for B2B marketing content",
  "brand": "Acme Corp",
  "industry": "SaaS",
  "audience": "Marketing managers at mid-market companies",
  "mission": "Help marketing teams automate reporting",
  "tone_dimensions": {
    "funny_serious": 0.7,
    "formal_casual": 0.4,
    "respectful_irreverent": 0.2,
    "enthusiastic_matter_of_fact": 0.5
  },
  "readability": {
    "flesch_grade_min": 8,
    "flesch_grade_max": 10,
    "flesch_ease_min": 50,
    "flesch_ease_max": 60
  },
  "style": {
    "sentence_length_mean": 18,
    "sentence_length_std": 6,
    "contraction_frequency": 0.6,
    "passive_voice_max_pct": 10,
    "vocabulary_tier": "professional",
    "summary_label": "Key Takeaways"
  },
  "voice_samples": [],
  "do": [
    "Use data to back every major claim",
    "Address the reader directly as you",
    "Lead sections with actionable insight"
  ],
  "dont": [
    "Don't use buzzwords without context",
    "Don't write sentences longer than 30 words",
    "Don't open with We at Acme"
  ]
}

Readability Bands by Vocabulary Tier

Tier	Flesch Grade	Flesch Ease	Typical Use
Consumer	6-8	60-80	Health, lifestyle, personal finance
Professional	8-10	50-60	B2B, marketing, management
Technical	10-12	30-50	Engineering, medical, legal

When the user picks a tier, auto-fill the readability fields. Let them override if they want a non-standard combination (e.g., technical vocabulary at consumer readability for explainer content).

Integration with write and rewrite

When a persona is active (via /smart-blog-skills:persona use <name>), the writer agent loads the persona JSON and enforces these constraints during generation:

1. Pre-generation - Load persona, inject tone dimensions and style rules into the system prompt for the blog-writer agent.
2. During generation - Writer follows do/dont rules, targets sentence length mean/std, uses contractions at specified frequency.
3. Post-generation validation - Check the output against persona constraints:
   • Sentence length distribution within 1 std of target mean
   • Readability score within the specified grade band
   • Passive voice percentage under the max
   • No violations of "dont" rules found via pattern matching

If validation fails, flag the specific violations and suggest edits.

List Command

Glob skills/blog/references/personas/*.json and display a table:

Persona	Industry	Audience	Vocabulary
acme-saas	SaaS	Marketing managers	Professional

If no personas exist, prompt the user to create one.

Show Command

Read the specified persona JSON and display it as a formatted summary with all tone dimensions, style rules, and do/dont lists.

Use Command

Read the persona JSON and confirm activation. Print a summary of the key constraints that will be enforced. The persona stays active for the current conversation session. Write and rewrite check for the active persona before generating content.

Error Handling

• Invalid tone values: If a user provides values outside 0.0-1.0, clamp to the nearest valid bound and warn
• Unreachable voice samples: If a URL in voice_samples returns an error, skip it and note in the profile that the sample was unavailable
• Empty personas directory: When running list or show with no personas saved, prompt the user to create one first
• Name conflicts: If a persona name already exists during create, ask whether to overwrite or choose a different name
• Malformed JSON: If a persona file is corrupted, report the error and offer to recreate it from the interview