What problem does it solve? Large monolithic markdown documents are hard to navigate, edit, and load into AI context windows. This Skill breaks a big markdown file into smaller, organized section files so each part can be managed and referenced independently. ## Core Features & Use Cases - Automated Sharding: Runs npx @kayvan/markdown-tree-parser explode to split a markdown document by level 2 headings into individual files with a generated index.md. - Guided Workflow: Walks through source selection, destination confirmation, output verification, and completion reporting with strict halt conditions on errors. - Original File Handling: Offers delete, archive, or keep options for the source document after sharding to avoid duplicate content. - Use Case: You have a 2,000-line architecture.md from a BMAD planning session. Shard it into per-section files so each section can be loaded on demand instead of the whole document. ## Quick Start Shard the document docs/architecture.md into smaller section files using the default destination folder.