extract-algorithm

Extract pseudocode from research papers by identifying algorithm descriptions, translating them into structured step-by-step format with clearly defined inputs, outputs, and preconditions. This skill parses PDF research papers to produce implementation-ready pseudocode and complexity analysis documentation.

Document inputs and outputs with their preconditions and postconditions, identify edge cases and special conditions, note computational complexity, and extract the core algorithm steps. This creates a complete implementation checklist ready for coding.

Yes. After extracting algorithm steps from papers, you can analyze and document computational complexity alongside the pseudocode, helping you plan implementation trade-offs and performance requirements before writing code.

Provide a research paper in PDF format. The skill uses pdftotext to convert the document and grep to locate algorithm descriptions, then extracts and structures them into pseudocode with implementation planning details.

Extract and structure each paper's algorithm separately into pseudocode, documenting their distinct inputs, outputs, complexity, and edge cases. This comparative documentation helps you choose the most suitable variant for your implementation needs.