slicing-long-contexts

What problem does it solve?

This Skill tackles the challenge of processing extremely long or dense text inputs that exceed the context window limits of language models, enabling detailed analysis and summarization of large documents, codebases, or logs.

Core Features & Use Cases

• Reproducible Map/Reduce Pipelines: Slices large inputs into manageable chunks, processes each chunk with sub-LM calls, and aggregates the results.
• Dynamic Context Handling: Ideal for multi-document reasoning, codebase understanding, and processing extensive chat histories or terminal logs.
• Use Case: Summarize a 500-page research paper by breaking it into sections, having an LLM summarize each section, and then combining those summaries into a concise overview.

Quick Start

Use the slicing-long-contexts skill to summarize the provided document 'research_paper.pdf' into a concise bulleted list.