manuscript-manager

Maintain persistent project state across multi-session book generation runs.

92|28|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/felipelobomotta-blip/book-genesis-v4 --skill manuscript-manager-felipelobomotta-blip
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manuscript-manager
Source: https://github.com/felipelobomotta-blip/book-genesis-v4/tree/main/skills/manuscript-manager
Command: npx skills add https://github.com/felipelobomotta-blip/book-genesis-v4 --skill manuscript-manager-felipelobomotta-blip

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents context loss by maintaining a persistent, project-wide state so multi-session, multi-skill book production stays coherent and traceable.

Core Features & Use Cases

  • Persistent Project State (PROJECT_STATE.yaml): Tracks title/author metadata, current phase, chapter statuses, word counts, Genesis Score, style device, and session history.
  • Session Check-In / Check-Out Protocols: Provides a deterministic workflow to read the current state, verify consistency, summarize progress, and update decisions and scores at the end.
  • Decision Logging & Skill Handoffs: Records significant decisions with justifications and manages cross-skill handoffs with aging alerts to avoid stale tasks.
  • Recovery From Lost Context: Reconstructs recent context using the YAML state, last sessions, pending handoffs, and recent decisions.

Quick Start

Use the manuscript-manager skill to check the current PROJECT_STATE.yaml and then run /checkout after you finish updating chapters, scores, or pending handoffs for today.

Frequently Asked Questions about manuscript-manager

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I maintain project consistency across multiple agent sessions for long-form book production?

You maintain project consistency by using a persistent YAML state file that logs chapter statuses, scores, and decisions. This approach prevents context loss by applying check-in and check-out protocols during multi-session book generation.

What is the best way to manage state handoffs between multiple agents in a drafting pipeline?

Managing state handoffs requires logging decisions with justifications and tracking pending tasks with aging alerts. This ensures cross-skill handoffs remain traceable and coherent throughout the multi-agent pipeline without losing context.

How do I recover lost context after a session interruption during iterative book drafting?

You recover lost context by reconstructing recent activity from the YAML state file. It rebuilds your working environment by reviewing the last session history, pending handoffs, and recent logged decisions to resume drafting.

Does multi-session book generation require a specific protocol to track evaluation scores and word counts?

Yes, multi-session book generation requires check-in and check-out protocols to track evaluation scores and word counts. This deterministic workflow validates consistency and updates the project state file at the end of each run.

When should I not use a persistent YAML file for state management in a multi-agent pipeline?

You should avoid using a persistent YAML state file for single-session projects that do not require cross-skill handoffs. This approach is specifically built for long-form drafting where work spans many sessions and multiple agent roles.