ai-research-reproduction
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.
Install
git clone https://github.com/lllllllama/RigorPilot-Skills /tmp/RigorPilot-Skills && ln -s /tmp/RigorPilot-Skills/skills/ai-research-reproduction ~/.claude/skills/ai-research-reproductionMore from this repo
ai-research-explore
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.
analyze-project
Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories.
explore-code
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.