long-document-llm-pipeline

What problem does it solve?

Long documents (>50K characters) used in LLM workflows suffer from attention drift, excessive input costs, inability to retry partial sections, and lack of parallel processing. This Skill provides a robust 6-step pipeline to structure, chunk, and batch-process content while preserving section context.

Core Features & Use Cases

• Section-based extraction and processing: convert large inputs into manageable chunks with breadcrumb context for accurate LLM results.
• Cost-aware batching and routing: parallelize requests and route models by section size to minimize costs.
• Applied to PDFs, transcripts, and multilingual reports with inherent structure, enabling flashcards, summaries, or Q&A datasets.

Quick Start

Process a document larger than 50K characters through the pipeline to generate per-section prompts and batched LLM results.