Paper Context Resolver

When you're reproducing an AI paper from a GitHub repo and hit a specific gap the README can't fill, this resolves narrow technical details from the original paper sources. It handles dataset splits, preprocessing steps, evaluation protocols, and checkpoint mappings that repos often assume you know. The skill explicitly flags conflicts between README instructions and paper methodology, so you're not left guessing which approach to follow. It's designed as a targeted helper, not a paper summarizer, and outputs references to paper-assisted-reproduction.md for documentation. Best for bridging concrete reproduction gaps rather than general paper understanding.

skills.sh installs: 140.5K
GitHub stars: 506
last updated: Jul 14, 2026

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Install

$ npx -y skills add lllllllama/ai-paper-reproduction-skill --skill paper-context-resolver --agent claude-code

Installs into .claude/skills of the current project.

Files

paper-context-resolver

Use this as the Rigor Paper Context helper. The installed slug remains paper-context-resolver for compatibility.

When to apply

README and repo files leave a reproduction-critical gap.
The gap concerns dataset version, split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumptions.
The main skill needs a narrow evidence supplement instead of a full paper summary.
There is already a concrete reproduction question to answer.

When not to apply

The README already gives enough reproduction detail.
The user wants a general paper explanation rather than reproduction support.
The goal is to override README instructions without documenting the conflict.
The only available input is a paper title and there is no concrete reproduction gap yet.