np:chunk-context-check

What problem does it solve?

This Skill detects when Mastra's Markdown chunking strips header information, causing context loss that degrades semantic search and retrieval quality.

Core Features & Use Cases

• Detects when headers are stripped from chunks and assesses impact on context and disambiguation.
• Compares multiple chunks in the same file to identify structurally similar content that could collide in vector space.
• Generates a remediation plan with actionable steps to preserve or reintroduce contextual headers.
• Use Case: For RAG pipelines where accurate chunk context is critical for answering domain-specific questions.

Quick Start

Run the np:chunk-context-check against a sample Markdown corpus to identify chunks with missing context and generate a remediation plan.