What problem does it solve? Feeding large sets of source documents (briefs, discovery notes, research reports) into downstream LLM workflows wastes tokens on prose, transitions, and repetition, while naive summarization loses critical facts, decisions, and constraints. This Skill produces lossless, hyper-compressed distillates that preserve every fact while stripping human-oriented overhead. ## Core Features & Use Cases - Lossless Compression: Extracts and deduplicates every fact, decision, constraint, and relationship from source documents into dense thematic bullets, with completeness verification against source headings and named entities. - Semantic Splitting: Automatically splits large distillates into self-contained section files with an index, so downstream workflows can load only the topics they need. - Round-Trip Validation: Optionally reconstructs source documents from the distillate alone and diffs them against originals to prove no information was lost. - Use Case: Before writing a PRD, distill a product brief plus its discovery notes into a single ~1,500-token distillate that the PRD workflow consumes as sole context without information loss. ## Quick Start Distill the documents in the docs/product folder into a distillate for PRD creation with round-trip validation enabled.
