Research & Science · Python · For data scientists

Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with…

ChenLiu-1996/figures4papers

Indexes research papers on the Hugging Face Hub from arXiv, links them to models and datasets, claims authorship and generates markdown research articles from templates.

huggingface/skills

Mirrors the visual style of a top-conference paper figure onto your own data, producing a camera-ready PDF and a self-contained matplotlib script.

VILA-Lab/FigMirror

Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

lingzhi227/agent-research-skills

Lets a plotting agent query a gallery of scientific figure references, show candidates for you to pick from, and export the chosen ones before it writes plot code.

Dsadd4/AgentFigureGallery

Guides training and analyzing sparse autoencoders with SAELens to break neural network activations into interpretable features, including superposition and monosemanticity studies.

Orchestra-Research/AI-Research-SKILLs

Finds authoritative public data sources for modeling tasks, prefers official APIs and bulk downloads, and outputs a reproducible fetch and cleaning plan with citations.

yushui2022/MathModel-Skill

Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.

TyrealQ/q-skills

Run AlphaGenome-PyTorch to get genomic track predictions — via the agt predict CLI (single locus, BED regions, whole chromosomes, raw FASTA sequences, or per-gene count tables/AnnData), variant…

genomicsxai/alphagenome-pytorch

Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis.

Orchestra-Research/AI-Research-SKILLs

Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.

davila7/claude-code-templates

Generates publication-quality scientific figures with matplotlib or seaborn through query expansion, a run-and-retry coding loop and a visual check of the rendered PNG.

lingzhi227/agent-research-skills

Guides causal experiments on PyTorch models with pyvene, such as causal tracing, activation patching and interchange intervention training, to test how a model works.

Orchestra-Research/AI-Research-SKILLs

Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use.

davila7/claude-code-templates

Runs differential gene expression analysis on bulk RNA-seq counts with PyDESeq2: design formulas, Wald tests, FDR correction and volcano or MA plots.

davila7/claude-code-templates

Queries the openFDA API from Python for drug, device, food and veterinary data: adverse events, recalls, labels, approvals, NDC and UNII lookups.

davila7/claude-code-templates

Builds machine learning pipelines on clinical data with PyHealth: EHR datasets, prediction tasks, medical code mapping, healthcare models and evaluation.

davila7/claude-code-templates

Python interface to OpenMS for mass spectrometry data analysis.

davila7/claude-code-templates

Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks.

davila7/claude-code-templates

生成研究/项目架构图、流程图、层次图（swimlane / processflow / hierarchytree）。适合 PPT 汇报、技术文档、综述插图。输出风格接近 draw.io，可选 graphviz（高质量）/ matplotlib（零依赖）双后端。

csmar432/finai-research

Turns raw flux balance analysis output and a COBRApy model into gene essentiality maps, phenotypic phase planes, flux sampling results, pathway summaries and secretion predictions.

aiming-lab/AutoResearchClaw

3Dmol.js WebGL molecular visualization emitted as self-contained HTML.

jaechang-hits/SciAgent-Skills

Computes RDKit physicochemical descriptors and molecular fingerprints from SMILES through a uv-run CLI script that skips and logs invalid molecules.

jinzhezenggroup/computational-chemistry-agent-skills

Reads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO.

K-Dense-AI/scientific-agent-skills

Design and analyze studies in sociolinguistics, language variation, acoustic phonetics, discourse analysis, language contact, and computational linguistics.

joshzyj/open-scholar-skill

Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or Enformer.

GPTomics/bioSkills

Predict RBP binding from RNA sequence using deep learning models (RBPNet sequence-to-signal, RNAProt RNN, GraphProt2 GCN with structure, DeepCLIP, DeepRiPe multi-modal CNN) for variant-effect…

GPTomics/bioSkills

Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data.

GPTomics/bioSkills

Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends.

aipoch/medical-research-skills

Differential gene expression analysis for bulk RNA-seq count matrices using a DESeq2-like workflow in Python; use when you need Wald tests, FDR correction, and optional LFC shrinkage for…

aipoch/medical-research-skills

Comprehensive tool for computational mass spectrometry using PyOpenMS; use when you need to read/write MS formats (mzML/mzXML/MGF), run signal processing (smoothing/peak picking), detect isotope…

aipoch/medical-research-skills

Turns a shotgun profiler table (MetaPhlAn relative abundance, Bracken counts, HUMAnN function tables) into honest figures and defensible community statistics with phyloseq, vegan, microViz, and…

GPTomics/bioSkills

Tests for differentially abundant proteins between conditions with limma/DEqMS empirical-Bayes moderation, proDA/msqrob2/MSstats missingness modeling, and Python Welch+BH alternatives.

GPTomics/bioSkills

A Python bioinformatics toolkit for sequence, phylogeny, and microbiome/community-ecology analysis; use it when you need to compute diversity/ordination/statistics from biological data and standard…

aipoch/medical-research-skills

Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC.

FreedomIntelligence/OpenClaw-Medical-Skills

Visualize copy number profiles, segments, and compare across samples.

FreedomIntelligence/OpenClaw-Medical-Skills

Python library for single-particle tracking (SPT) in video microscopy via the Crocker-Grier algorithm.

jaechang-hits/SciAgent-Skills

Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed.

brycewang-stanford/Auto-Empirical-Research-Skills

E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include…

brycewang-stanford/Auto-Empirical-Research-Skills

A skill your agent uses when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model…

borghei/Claude-Skills

Load when running bulk-style pathway enrichment (ORA / GSEA / GSEA-R / GSVA-R) on a per-group ranked DE / marker list against a gene-set library.

TianGzlab/OmicsClaw

End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review.

brycewang-stanford/Auto-Empirical-Research-Skills

Clean and transform messy data for analysis in Python, R, or Stata

brycewang-stanford/Auto-Empirical-Research-Skills

Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops.

jaechang-hits/SciAgent-Skills

Python library for genomic interval ML. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills