What problem does it solve? Reading a paper superficially leads to misreading its claims — mistaking what the abstract promises for what the results actually prove, or missing a hidden assumption that breaks your use of it. This Skill performs a disciplined close read of one document, separating what the paper claims from what its evidence supports. ## Core Features & Use Cases - Structured Deep Read: Extracts the core contribution, problem framing, method mechanism, decoded equations, evidence, stated and hidden assumptions, and limitations into a consistent note format. - Claim vs. Evidence Gap Analysis: Explicitly flags where the abstract or title overstates what the experiments or proofs demonstrate, and marks the reader's own inferences separately from the paper's text. - Reproducibility Audit: Identifies undefined hyperparameters, missing details, and underspecified steps you would need to resolve before implementing or citing the work. - Use Case: Before building on a paper, ask for a deep read — you get the one-sentence contribution, the decoded method, the load-bearing assumption in §3.2 that won't hold in your setting, and a list of what's missing to reproduce the results. ## Quick Start Ask the assistant to deep-read the attached paper and extract its contribution, method, evidence, assumptions, and limitations before you build on it.