Summary
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.
Install to Claude Code
npx -y skills add lllllllama/ai-paper-reproduction-skill --skill paper-context-resolver --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Files
SKILL.md
Select a file.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
