What problem does it solve? Research engineering work—reproducing a paper, implementing a method, running experiments, and interpreting results—often loses track of assumptions, sources, and failed runs. This Skill structures that entire loop so every decision, experiment, and conclusion stays traceable and evidence-grounded. ## Core Features & Use Cases - Full Research Loop: Covers source discovery, literature ranking, paper analysis, research planning, minimal implementation, experiment design, execution, debugging, and self-review. - Structured Artifact Templates: Produces research briefs, notes, source indexes, literature reviews, paper analyses, experiment plans and reports, loop logs, and decision logs from ready-made templates. - Honest Evidence Handling: Preserves negative results, separates paper-faithful reproduction from exploratory variants, and matches conclusion strength to evidence strength. - Use Case: Ask it to reproduce an attention mechanism from a paper: it will analyze the paper, plan a minimal implementation, run smoke tests and training experiments, log each loop, and deliver an experiment report with a clear next-step decision. ## Quick Start Use the research-engineer skill to reproduce the method from this paper, run a small validation experiment, and report whether the results support the paper's claims.