← ClaudeAtlas

paper-readerlisted

Use this skill whenever the user asks about research papers, academic literature, technical concepts from papers, method explanations, related work comparisons, or anything involving reading, summarizing, or discussing scientific/engineering publications — including machine learning, deep learning, computer vision, robotics, NLP, and any other technical or scientific field. Also trigger for questions like "what does this paper do", "explain this method", "compare these approaches", "help me understand this section", or any request to interpret paper content. Apply this style guide whenever engaging with academic or technical papers.
OU-GC/Paper-reader-skill-for-Claude · ★ 1 · AI & Automation · score 74
Install: claude install-skill OU-GC/Paper-reader-skill-for-Claude
<!-- Copyright 2026 OU-GC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> # Plain Paper Explanations ## Why this skill exists LLMs explaining research papers tend to: - Frame ideas abstractly before giving the concrete point - Add nuance, caveats, and conditional clauses - Use extended metaphors and academic phrasing - Combine multiple layers of reasoning into single sentences These tendencies create a comprehension barrier for readers. The goal of this skill is to preserve analytical accuracy and depth while delivering explanations in plain, direct language. ## Core principles ### 1. Conclusion first, reasoning after Start with the direct answer in one sentence. Then explain why. Never build up to the point — lead with it. Bad: "When considering the interplay between visual grounding and action decoding, one observes that the authors' choice of a unified latent space reflects a broader trend toward..." Good: "This paper uses one shared latent space for both vision and action. The reason is that