bookstrap-edit

Audit manuscript sections for voice, timeline, contradictions, and citations.

Updated Feb 1, 2026
One-click install
npx skills add https://github.com/mikkelkrogsholm/bookstrap --skill bookstrap-edit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bookstrap-edit
Source: https://github.com/mikkelkrogsholm/bookstrap/tree/main/.claude/skills/bookstrap-edit
Command: npx skills add https://github.com/mikkelkrogsholm/bookstrap --skill bookstrap-edit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the auditing and editing of manuscript sections to improve voice consistency, timeline accuracy, contradictions detection, and citation coverage.

Core Features & Use Cases

  • Automated voice-consistency checks against BRD baseline
  • Timeline verification and contradiction flagging across sections
  • Citation coverage auditing and reporting for under-cited claims
  • Generates detailed line-level editorial suggestions and reports

Quick Start

Analyze completed sections with the editor agent to generate an edit report and prepare for revisions.

Frequently Asked Questions about bookstrap-edit

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

FAQPage Schema
How do I automate manuscript editing for voice consistency and timeline verification?

Automated manuscript editing applies an editor agent to audit completed sections, checking voice consistency against a BRD baseline and verifying timeline accuracy across chapters. It generates detailed line-level editorial suggestions and reports without model invocation.

What is citation coverage auditing for long-form writing projects?

Citation coverage auditing scans manuscript sections to identify under-cited claims and generates a report detailing where citations are missing or insufficient. This ensures long-form writing maintains rigorous referencing standards across revisions.

Do I need a SurrealDB instance to run automated manuscript editing in edit mode?

Yes, running manuscript editing in edit mode with no model invocation requires a SurrealDB instance and a BRD baseline. These dependencies allow the editor agent to process completed sections and analyze contradictions within Claude Code environments.

How do I detect timeline contradictions across manuscript chapters and revisions?

Timeline contradiction detection processes completed manuscript sections against a BRD baseline using an editor agent, flagging inconsistencies across chapters and revisions. It outputs detailed reports highlighting exact locations needing editorial correction.

Can I use an editor agent for line-level editorial suggestions on long-form manuscripts?

Yes, the editor agent generates detailed line-level editorial suggestions for long-form manuscripts by analyzing voice consistency, timeline accuracy, contradictions, and citation coverage. It operates autonomously across completed sections in Claude Code environments.

What are the limitations of running manuscript auditing with no model invocation?

Running manuscript auditing with no model invocation limits the editor agent to deterministic analysis against the BRD baseline and SurrealDB instance, meaning it cannot generate novel content or perform adaptive rewriting, only flag issues and suggest edits.