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".
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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
id
blog-persona
domain
content
invoked_by
["blog-researcher","blog-writer"]
depends_on
[]
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:
Pre-generation - Load persona, inject tone dimensions and style rules into
the system prompt for the blog-writer agent.
During generation - Writer follows do/dont rules, targets sentence length
mean/std, uses contractions at specified frequency.
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
