lllllllama/ai-paper-reproduction-skill
5 skills568k installs2.1k starsGitHub
Install
npx skills add https://github.com/lllllllama/ai-paper-reproduction-skillSkills in this repo
1Paper Context ResolverOptional helper-tier skill that supplements README-guided deep learning reproduction by resolving specific paper details from primary sources when repo docs leave critical gaps.140kinstalls2Repo Intake And PlanRigor Intake scans repository docs and layout to classify documented commands and propose a minimal reproduction plan for deep learning paper repos.140kinstalls3Env And Assets BootstrapRigor Setup establishes conservative environment and asset assumptions aligned with README and config evidence before execution.140kinstalls4Minimal Run And AuditRigorPilot executes the selected minimal reproduction command and produces normalized, auditable run evidence for paper reproduction workflows.140kinstalls5Ai Paper ReproductionAI Paper Reproduction is the main orchestrator skill for solo builders and researchers who must show that an AI paper’s code repository actually runs—not just that the PDF sounds plausible. It implements a minimal-trustworthy, README-first flow: read the repository, pick the smallest documented inference or evaluation command, coordinate intake and environment setup, execute under conservative patch rules, and optionally extend into trusted training, repository analysis, or paper-gap resolution when the repo supports it. The skill is built for auditability: it records evidence, assumptions, deviations, and human decision points, then materializes everything into a standardized `repro_outputs/` bundle another person or model can review quickly. It is intentionally not a general research assistant; it refuses paper summaries, isolated scanning, or unconstrained experimentation. Expect intermediate-to-advanced comfort with Python ML repos, GPU constraints, and flaky upstream dependencies. Use it when credibility depends on reproducible commands grounded in what the README and scripts actually document.9.1kinstalls