What problem does it solve? Feeding large sets of source documents (briefs, discovery notes, research reports) into 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 everything an LLM does not need. ## Core Features & Use Cases - Lossless Compression: Extracts 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 when content exceeds token thresholds or a user-specified token budget. - Round-Trip Validation: Optionally reconstructs the original documents from the distillate alone and produces a gap/hallucination report to prove no information was lost. - Use Case: Before creating a PRD, distill a product brief plus its discovery notes into a single ~1,500-token distillate that the PRD workflow consumes as its sole context input. ## Quick Start Distill the documents in my product-brief folder into a single distillate optimized for PRD creation, and run the round-trip validation to confirm nothing was lost.
