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Science Comp.

Simulation and numerical analysis.

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scientific-computing

124

cross-disciplinary-bridge-finder

Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.

aipoch

research

scientific-computing

124

cellosaurus-api

Access Cellosaurus database for cell line information and release data. Invoke when user asks to search cell lines, get cell line details by accession, or check database release info.

aipoch

research

scientific-computing

124

pyopenms-skill

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 features, or perform peptide identification in proteomics/metabolomics workflows.

aipoch

research

scientific-computing

124

pseudotime-trajectory-viz

Analyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

aipoch

research

scientific-computing

124

neurokit2

Comprehensive biosignal processing for ECG/PPG/EEG/EDA/RSP/EMG/EOG; use when you need to clean, segment, and extract physiological features for HRV, event-related responses, complexity metrics, or multimodal psychophysiology pipelines.

aipoch

research

scientific-computing

124

matchms

Process, clean, and compare mass spectrometry (MS/MS) spectra with Matchms; use when you need reproducible spectral filtering and similarity scoring for metabolomics workflows.

aipoch

research

scientific-computing

124

circos-plot-generator

Generate Circos configuration files for circular genomics data visualization. Supports genomic variations (SNPs, CNVs, structural variants), cell-cell communication networks, and custom track configurations for publication-ready circular plots.

aipoch

research

scientific-computing

124

biopython-structure

Use Bio.PDB to parse and analyze protein structures (PDB/mmCIF) for structural bioinformatics tasks; use when you need structure parsing, geometry calculations, or structural comparison/superposition.

aipoch

research

scientific-computing

124

biopython

A comprehensive toolbox for computational molecular biology; use it when you need programmatic sequence/structure parsing, batch bioinformatics pipelines, or automated NCBI/BLAST workflows.

aipoch

research

scientific-computing

124

sample-size-power-calculator

Advanced sample size and power calculations for complex study designs including survival analysis, clustered designs, and multiple comparisons.

aipoch

research

scientific-computing

122

research

Comprehensive research and content extraction. USE WHEN research, investigate, extract wisdom, analyze content. For OSINT use OSINT skill.

Steffen025

research

scientific-computing

121

independent-research

Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas before presenting them. Deliver concrete, tested recommendations with evidence.

NTCoding

research

scientific-computing

119

relation-extraction

用于主体关系抽取的关系抽取原子 skill，适用于通用行业信息抽取场景。

aifinlab

research

scientific-computing

116

high-impact-journal-publishing

Guidance and workflow for planning, writing, submitting, revising, and publishing scientific manuscripts in high-impact journals. Use when Claude needs to advise on research quality, study design, manuscript structure, journal selection, peer review responses, or publication strategy.

shunk031

research

scientific-computing

116

nansen-web-searcher

Search the web for one or more queries in parallel. Use when you need current information, news, prices, or any web content to complement on-chain Nansen data.

nansen-ai

research

scientific-computing

115

detecting-emergent-patterns

Find breakthrough insights by forcing unrelated concepts together, detecting meta-patterns across domains, and discovering simplification cascades. When stuck on complex problems. When searching for innovative solutions. When same issue appears in different domains. When complexity feels excessive. When conventional approaches aren't working. When seeking radical simplification.

sandgardenhq

research

scientific-computing

115

sc-filter

Filter cells and genes from single-cell RNA-seq AnnData objects using QC-derived thresholds or tissue presets. This wrapper removes low-quality cells/genes but does not normalize, cluster, or annotate the dataset.

TianGzlab

research

scientific-computing

115

metabolomics-de

Metabolomics differential analysis using univariate tests (t-test, FDR), multivariate methods (PCA, PLS-DA, OPLS-DA, sPLS-DA), Random Forest, and ROC analysis for biomarker discovery.

TianGzlab

research

scientific-computing

115

metabolomics-normalization

Metabolomics data normalization, scaling and transformation.

TianGzlab

research

scientific-computing

115

metabolomics-statistics

Statistical analysis for metabolomics — PCA, PLS-DA, clustering, and univariate tests.

TianGzlab

research

scientific-computing

115

metabolomics-xcms-preprocessing

XCMS3 workflow for LC-MS/GC-MS metabolomics preprocessing. Peak detection (CentWave/MatchedFilter), RT alignment (Obiwarp), correspondence, gap filling, and CAMERA adduct/isotope annotation.

TianGzlab

research

scientific-computing

115

orchestrator

Multi-omics query routing and pipeline orchestration across all OmicsClaw domains. Routes natural language queries to the correct analysis skill across spatial transcriptomics, single-cell omics, genomics, proteomics, and metabolomics.

TianGzlab

research

scientific-computing

115

proteomics-ptm

Post-translational modification analysis including phosphorylation, acetylation, and ubiquitination. Site localization, motif analysis, and quantitative PTM analysis with MSstatsPTM.

TianGzlab

research

scientific-computing

115

spatial-condition

Compare experimental conditions in spatial transcriptomics data using pseudobulk differential expression with method-aware PyDESeq2 or Wilcoxon testing and explicit replicate handling.

TianGzlab

research

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