book-swarm-panel

Solid

Use when a book project needs MiroFish-style simulated reader swarms, niche reader panels, public-opinion simulation, launch reaction testing, cultural/sensitivity risk scouting, agent interviews, review heatmaps, or revision tickets from many fictional readers. Use for requests mentioning simulated readers, public opinion, BookTok/Goodreads/Reddit/Twitter reaction, niche specialists, 20+ agents, crowd response, market reaction, or "MiroFish for books".

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

# Book Swarm Panel Book Swarm Panel runs a clean-room, book-specific swarm simulation inspired by MiroFish architecture. It creates many fictional readers, lets cohorts react to manuscript/package inputs, interviews selected agents, and writes durable evaluation artifacts. It does not certify cultural approval, publication readiness, or bestseller odds. Simulated readers are diagnostic proxies. ## When To Use Use this skill for: - simulated reader panels larger than normal beta reads - niche/sensitivity-risk scouting before human consultants - public-opinion tests for a manuscript, premise, cover copy, query, launch angle, or controversy - BookTok/Goodreads/Reddit/Twitter-style reaction forecasts - testing whether the book is being framed wrong - generating heatmaps and revision tickets for `book-editor` - re-running a post-revision panel with comparable calibration Do not use this as a replacement for paid sensitivity readers, legal review, factual consultants, or human beta readers. ## Output Location Always write durable files. Default run folder: ```text <project>/evaluations/book-swarm/<YYYY-MM-DD>-<run-slug>/ persona-roster.json sample-map.md cohort-reports.md interviews.md public-opinion-report.md risk-heatmap.md revision-tickets.md score-calibration.md SUMMARY.md ``` If no project folder exists, create `evaluations/book-swarm/` near the provided manuscript. ## Core Rule Separate these claims: - **Simulated signal:** useful hypothesis fr...

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