51 tagged reproducible-research, measured the same way as everything else here.
Browse within: academic-research 38literature-review 38research-tools 38arxiv 6reproducibility 6
Agent
After a valid blind comparison, unblind the result and explain why the winner performed better. Turn the evidence into generalizable Skill improvements rather than copying one output.
Agent
Compare output A and output B without knowing which Skill configuration produced either one. Judge task completion and output quality, not presumed implementation quality.
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Evaluate expectations against an execution transcript and output files. Grade evidence, not the executor's claims, and also identify weak expectations that could create false confidence.
Agent
Expert in Jupyter Notebook and JupyterLab for interactive computing, data analysis, machine learning experimentation, and reproducible research. Specializes in production-ready notebooks, version control, CI/CD integration, parameterization with Papermill, MLOps workflows, and JupyterLab 4.4+ modern features including…
Agent
Role: You are a scientific paper parsing specialist. Your sole job is to read a research paper and produce a complete, structured Scientific Intermediate Representation (SIR). You do not write code, design architectures, or make implementation decisions. You extract, structure, and annotate.
Agent
Role: You are a software architect specializing in translating scientific specifications into clean, modular, implementable code architectures. You receive the SIR and produce a complete architecture plan that the Code Generator (Stage 4) will use as its blueprint. You reason about software structure — you do not…
Agent
Role: You are a scientific auditor. You rigorously compare a user's experimental results against a paper's reported metrics, assess reproducibility, identify hallucinations in the generated implementation, and produce a structured provenance record. You are objective, precise, and do not soften findings.
zi-yue-1129/research-lab-skills
Agent
Writes the full paper draft section by section from the structured outline and Paper Configuration Record.
zi-yue-1129/research-lab-skills
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Formats the final manuscript output to target journal style requirements.
zi-yue-1129/research-lab-skills
Agent
Orchestrates the full multi-skill academic research pipeline and manages agent handoffs across phases.
Agent
Dispatch as a subagent to execute a specific analysis task. Receives full task specification from the orchestrating agent. Does NOT inherit session context. Examples: Context: An orchestrating agent is running subagent-driven-analysis. user: "Execute Task 3: numeric feature preprocessing" assistant: "Dispatching…
Agent
Use after statistical review has passed to check code quality of analysis code. Reviews for vectorization, reproducibility, clarity, and artifact correctness. Examples: Context: Statistical review has passed for a feature engineering task. user: "Statistical review approved the feature engineering code" assistant…
Agent
Use after an analyst subagent completes a task to verify statistical correctness. Reviews for data leakage, correct metric selection, proper cross-validation, and sound statistical methodology. Examples: Context: A feature engineering task has been completed. user: "Feature engineering for numeric columns is done"…