blog-persona

name	blog-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 blog-write and blog-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 blog-write and blog-rewrite.

Commands

Command	Purpose
/blog persona create	Interactive interview to build a new persona
/blog persona list	Show all saved personas
/blog persona use <name>	Set active persona for current session
/blog 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 blog-write and blog-rewrite

When a persona is active (via /blog 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. Blog-write and blog-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