content-retrieval

What problem does it solve?

This skill solves the challenge of reading large documents by extracting only the necessary portions through Markdown headings and frontmatter, reducing processing time and token usage.

Core Features & Use Cases

• Section-based extraction: locate content by headings and separators to minimize full-file reads.
• Depth-level retrieval: supports L0-L5 retrieval strategies for exists, count, lookup, overview, section, and full reads.
• Frontmatter-driven indexing: leverages YAML metadata to quickly identify relevant content and context.
• Use Case: summarize a knowledge base, perform fast lookups, or extract specific sections from code repositories.

Quick Start

Use the content-retrieval skill to read the Summary section from a document by locating the "## Summary" heading and reading content up to the next delimiter.