公開されている Claude Code marketplace からの 5,634 件のプラグインです。それぞれにスキル、スラッシュコマンド、エージェント、フック、MCP サーバーがまとめてインストールされます。
open-code-reviewalibaba/open-code-review1.claude-plugin/marketplace.json を含むリポジトリを提出すると、すべての plugin を掲載します。
marketplace を提出するAI agents, language models, retrieval, evaluation and research papers.
researchGenomics and bioinformatics, from data analysis to publication.
researchCheminformatics, molecular modelling and research reporting.
researchClinical and biomedical evidence, imaging, systematic reviews and writing.
researchPhysics, astronomy, quantum computing, materials and reproducible figures.
researchScientific and research paper writing, grants, peer review, critical appraisal.
researchJournal, conference and venue formatting: LaTeX templates, submission checklists.
researchLiterature search, systematic reviews, citation management and reference managers.
researchHypothesis generation, experimental design, statistics planning, validation.
researchProgrammatic access to public scientific databases and APIs.
researchGenomics, single-cell, proteomics, neuroscience and systems biology.
researchCheminformatics, molecular modelling, protein design and pharmacology.
researchPhysics, astronomy, quantum computing, materials and earth science.
researchLab platforms, ELNs, liquid handlers and manufacturing integrations.
researchModel architectures, tokenization, fine-tuning, post-training, distributed training, optimization.
researchEvaluation harnesses, interpretability and safety/alignment.
researchInference serving, GPU infrastructure, MLOps and observability.
researchVision, audio, robotics, data processing and emerging techniques.
researchtasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
