Extract and explain research paper contributions using a four-part rubric.
npx skills add https://github.com/gyy0592/claude-config --skill contrib-extract
Please help me install this Agent Skill. Skill: contrib-extract Source: https://github.com/gyy0592/claude-config/tree/main/skills/contrib-extract Command: npx skills add https://github.com/gyy0592/claude-config --skill contrib-extract
Papers often hide their real contributions beneath background text, inflated claims, and implementation details; this Skill extracts every distinct novelty and explains why it matters, where it appears, and what the key equation is. The output is structured to give a reader immediate clarity on "what is actually new" without wading through the full pipeline description.
Ask the skill to list and explain every distinct contribution of the target paper, giving motivation, intuition with a scenario, an old-vs-new comparison if relevant, and the core formula for each contribution.
High-intent search queries and answers about installing and using this skill.
Extracting novel contributions from a research paper involves identifying each distinct novelty and explaining its motivation, intuition, and core formula. This skill structures the output into four-part blocks to clarify what is actually new without reading the entire pipeline description.
Summarizing a paper's core formulas and motivation requires structuring each contribution with a headline, old-vs-new comparison, and scenario-based intuition. This approach generates clear contribution sections for research reading groups or peer review summaries.
Cross-checking extracted mathematical formulas against original page images is supported to verify formula symbols and prevent transcription errors. This enforces a checklist-driven math explanation for accurate literature triage.
Identifying actual novelty in an academic paper requires filtering out inflated claims and implementation details to isolate distinct contributions. This skill applies a structured rubric to separate background text from genuine methodological advancements.
This paper reading workflow requires access to the full paper text and equation images to accurately extract and explain contributions. It processes academic and technical papers during literature review or when invoked via a contributions query.
Use an automated paper-reader pipeline for contribution extraction during rapid literature triage, peer review preparation, or when you need structured contribution blocks. It acts as the first stage to clarify distinct novelties before deeper analysis.
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