What problem does it solve? Reading articles, papers, and documents produces unstructured notes that are hard to compare, query, or synthesize later. This Skill converts source text into structured JSON containing atomic concepts, subject-predicate-object relationships, documented tensions between viewpoints, and explicit uncertainties, so knowledge from many sources can be accumulated and analyzed consistently. ## Core Features & Use Cases - Atomic Concept Extraction: Identifies fundamental concepts, techniques, patterns, problems, and tools with canonical names, definitions, confidence levels, and source attribution. - Relationship and Tension Mapping: Captures SPO triples (dependency, hierarchy, conflict, complement, alternative) and preserves contradictions between sources without forcing resolution. - Uncertainty Documentation: Records open questions, why they matter, and what evidence would resolve them. - Use Case: A researcher processing ten papers on distributed systems uses this Skill to produce per-paper JSON files of concepts and relationships, then compares them to find where authors disagree on consistency versus availability tradeoffs. ## Quick Start Use the extracting-knowledge-concepts skill to extract structured concepts, relationships, tensions, and uncertainties from the attached research paper into JSON.
