When you try to reproduce a deep learning paper, the README sometimes leaves small but critical gaps. This helper fills those gaps by going straight to the paper itself. It answers questions about dataset splits, preprocessing steps, evaluation protocols, checkpoint mapping, or runtime assumptions.
You only use it when the README and repo files do not give enough detail and you have a concrete reproduction question. It does not replace the README or summarize the whole paper. It supplies just the missing evidence from primary sources.
This tool is optional and works as a helper for the main reproduction task. It records any conflicts between the README and the paper so you can track them clearly.
Global
mkdir -p ~/.claude/skills/paper-context-resolverProject
mkdir -p .claude/skills/paper-context-resolverSource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Grillingmattpocock/skills
Test your plan thoroughly with clear step-by-step interview questions
Analyze Projectlllllllama/rigorpilot-skills
Safe read-only analysis of deep learning repos for understanding and risk detection
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Repo Intake And Planlllllllama/rigorpilot-skills
Scan a repo, find commands, and get a simple reproduction plan
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports
Obsidian Vaultmattpocock/skills
Search create and organize notes with wikilinks and index notes easily