reader-persona

Solid

Builds 3-5 reader personas representing the book's target audience segments. Each persona has reading habits, emotional triggers, deal-breakers, discovery channels, and comp title preferences. Used by writer (voice calibration), evaluator (4-reader simulation), and packager (marketing targeting).

AI & Automation 115 stars 38 forks Updated today MIT

Install

View on GitHub

Quality Score: 83/100

Stars 20%
69
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# READER PERSONA — Audience Architecture V3.7 Writers who write "for everyone" write for no one. This skill creates concrete, detailed reader profiles so every agent in the pipeline knows exactly WHO they are writing for. The personas inform: - **Architect:** Pacing decisions, what the reader's patience threshold is - **Writer:** Vocabulary level, what to explain vs. assume, emotional calibration - **Evaluator:** Whether the manuscript serves its actual audience (4-reader simulation) - **Packager:** Marketing angle, comp titles, pitch framing, discovery channel targeting - **Chaos Engine:** Which persona to CHALLENGE (the comfortable one) and which to PROTECT (the one on the edge of abandoning) --- ## WHEN TO RUN - **After:** Research phase is complete (`bestseller-dna.md`, market analysis exist) - **After:** Foundation document exists (genre, theme, engagement type defined) - **Before:** Any writing begins - **Trigger:** Orchestrator calls this once during project setup - **Re-run:** Only if the book's genre, thesis, or target audience fundamentally changes --- ## REQUIRED INPUTS 1. **`foundation.md`** — for: - Genre classification - Engagement type ranking (primary/secondary/tertiary) - Premise and theme - Protagonist archetype and tone - Emotional residue target 2. **`research/bestseller-dna.md`** (if available) — for: - Comparable titles and their audiences - Market positioning - Genre conventions and reader expectations 3. **`STATE.yaml`**...

Details

Author
felipelobomotta-blip
Repository
felipelobomotta-blip/book-genesis-v4
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

Data & Documents Listed

audience-profile

Build a named, narrative buyer persona document �� demographic snapshot, psychographic drivers, jobs-to-be-done, day-in-the-life scenario, buyer journey map, objections with counter-messaging, and content/channel preferences — for the 2-4 personas a brand actually needs. Triggers on "/digital-marketing-pro:audience-profile", "create a buyer persona", "profile our target customer", "who is our ideal customer", "map the buyer journey for this segment". Reads the brand profile, guidelines, and any customer data supplied (surveys, CRM exports, analytics demographics); run by the marketing-strategist agent. For the deeper research module — segmentation, anti-personas, buying committees — see /digital-marketing-pro:audience-intelligence.

0 Updated 3 weeks ago
teachskillofskills-ai
Data & Documents Featured

audience-profile

Build a named, narrative buyer persona document — demographic snapshot, psychographic drivers, jobs-to-be-done, day-in-the-life scenario, buyer journey map, objections with counter-messaging, and content/channel preferences — for the 2-4 personas a brand actually needs. Triggers on "/digital-marketing-pro:audience-profile", "create a buyer persona", "profile our target customer", "who is our ideal customer", "map the buyer journey for this segment". Reads the brand profile, guidelines, and any customer data supplied (surveys, CRM exports, analytics demographics); run by the marketing-strategist agent. For the deeper research module — segmentation, anti-personas, buying committees — see /digital-marketing-pro:audience-intelligence.

809 Updated 4 days ago
indranilbanerjee
AI & Automation Listed

persona-builder

Use when the user wants to build buyer personas or an ideal customer profile (ICP) — the target's goals, pains, buying triggers, objections, and where they research. Also use when the user mentions personas, ICP, target audience profile, customer avatar, "who are we selling to", or buyer journey. Produces structured personas grounded in real signals, not demographic guesswork.

0 Updated 1 months ago
sarojkjha