How does this skill handle very large files?

It uses surgical patches and chunked, context-safe editing techniques defined in structure JSON to modify files without exceeding the AI's context window.

What kind of citations does it support?

It enforces legal-grade citation rules specifically using StableID and page anchors to ensure every claim is backed by verifiable data.

Does it support version control and safety?

Yes, it automatically creates backups in specialized archive directories before making major edits to prevent data loss and ensure document history.

Can it be used for general documentation?

While optimized for research reports, its surgical editing and structural mapping capabilities are excellent for any large-scale Markdown project requiring high precision.

Large Report Editor

Name: Large Report Editor
Author: ACSKamloops

byACSKamloops

Content Management

Edits and compiles extensive Markdown research reports using surgical patching and legal-grade citation standards to ensure accuracy and structural integrity.

About

The Large Report Editor skill is designed for managing complex, long-form documentation such as cultural archives, legal research, and academic reports. It enables non-destructive, chunked editing of massive Markdown files by employing surgical patches and structure JSON mapping, which prevents context loss and file corruption in large-scale projects. The skill strictly enforces legal-grade citation rules using StableIDs and page anchors, ensuring factual integrity and data provenance while maintaining a rigorous automated backup system for safe document processing.

Key Features

Chunked, context-safe processing to handle document size constraints
Surgical patch-based editing for non-destructive Markdown updates
Structural JSON mapping for navigating complex report hierarchies
Automated backup management within dedicated archive directories
0 GitHub stars
Legal-grade citation enforcement with StableID and page anchors

Use Cases

Compiling legal or academic reports requiring strict provenance and verifiable citation tracking
Performing targeted updates to specific sections of large documentation sets using surgical edits
Editing multi-hundred page cultural research papers without exceeding AI context limits

About

Key Features

Chunked, context-safe processing to handle document size constraints
Surgical patch-based editing for non-destructive Markdown updates
Structural JSON mapping for navigating complex report hierarchies
Automated backup management within dedicated archive directories
0 GitHub stars
Legal-grade citation enforcement with StableID and page anchors

Use Cases

Compiling legal or academic reports requiring strict provenance and verifiable citation tracking
Performing targeted updates to specific sections of large documentation sets using surgical edits
Editing multi-hundred page cultural research papers without exceeding AI context limits