Zaoqu-Liu/ScienceClaw

Your AI Research Lab That Never Sleeps. 9 agents, 263 skills, 77 databases — from literature to publication, every discipline, zero boundaries.

60Stars on the repository
200Mods indexed here, across every type
5mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

regulatory-submission

169

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Prepare regulatory submissions for drugs, biologics, devices, and diagnostics.

not rated 60 5mo ago A 0 tokens original MIT

research-alerts

171

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

A monitoring setup that checks PubMed and bioRxiv, a public server for research papers shared before formal peer review, for new papers on chosen topics.

not rated 60 5mo ago A 71 tokens original MIT

research-grants

172

Zaoqu-Liu/ScienceClaw

Skill Claude Code

Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.

not rated 60 5mo ago A 48 tokens original MIT

research-lookup

173

Zaoqu-Liu/ScienceClaw

Skill Claude Code needs its repo

Look up current research information using Perplexity Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.

not rated 60 5mo ago A 55 tokens copy · 91% MIT

research-recipes

174

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Pre-built research workflow templates that execute complete multi-step analyses from a single user prompt. Triggers on gene analysis, target validation, literature review, differential expression, clinical queries, researcher profiling, drug repurposing, or molecular dynamics simulation. Use when the user's query…

not rated 60 5mo ago A 67 tokens original MIT

review-writing

175

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

A guided process for writing literature reviews and review articles from an outline. It organizes the work section by section, from finding and grouping sources to writing, citing, and saving the result.

not rated 60 5mo ago A 0 tokens original MIT

rowan

176

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve…

not rated 60 5mo ago A 115 tokens copy · 100% MIT

scanpy

177

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex needs its repo

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use…

not rated 60 5mo ago A 68 tokens original MIT

scholar-evaluation

178

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex needs its repo

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

not rated 60 5mo ago A 40 tokens copy · 88% MIT

science-communication

179

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Translate complex scientific findings into engaging content for non-specialist audiences.

not rated 60 5mo ago A 0 tokens original MIT

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Rachel's aesthetic reference for all visualization work. Use this skill when generating any scientific figure.

not rated 60 5mo ago A 0 tokens original MIT

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Joey's reference for all presentation work. Use this skill when creating academic presentations.

not rated 60 5mo ago A 0 tokens original MIT

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use…

not rated 60 5mo ago A 60 tokens copy · 89% MIT

Zaoqu-Liu/ScienceClaw

Skill Claude Code needs its repo

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review…

not rated 60 5mo ago A 63 tokens copy · 83% MIT

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

AI-powered scientific illustration generation using Gemini Image models. Creates publication-quality mechanism diagrams, pathway illustrations, and scientific figures.

not rated 60 5mo ago A 0 tokens original MIT

scientific-schematics

185

Zaoqu-Liu/ScienceClaw

Skill Claude Code needs its repo

Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and…

not rated 60 5mo ago A 64 tokens copy · 89% MIT

scientific-slides

186

Zaoqu-Liu/ScienceClaw

Skill Claude Code needs its repo

Slide design principles for scientific presentations — structure, pacing, visual hierarchy. For actual PPTX file generation, use the pptx-generation skill instead.

not rated 60 5mo ago A 34 tokens original MIT

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick…

not rated 60 5mo ago A 72 tokens copy · 91% MIT

scientific-writing

188

Zaoqu-Liu/ScienceClaw

Skill Claude Code

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting…

not rated 60 5mo ago A 87 tokens original MIT

scikit-bio

189

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

not rated 60 5mo ago A 54 tokens copy · 88% MIT

scikit-learn

190

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex needs its repo

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for…

not rated 60 5mo ago A 68 tokens copy · 86% MIT

scikit-survival

191

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions…

not rated 60 5mo ago A 91 tokens copy · 91% MIT

scvi-tools

192

Zaoqu-Liu/ScienceClaw

Skill Claude CodeCodex

Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.

not rated 60 5mo ago A 65 tokens copy · 75% MIT

At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: