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Topic: clawhub

924 skills in this topic.

bio-read-qc-umi-processing Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate molecule counting is needed, such as in single-cell RNA-seq, low-input RNA-seq, or targeted sequencing to distinguish PCR from biological duplicates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reporting-figure-export
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
hypothesis-generation Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-research-tools-biomarker-signature-studio
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
histolab Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
health-trend-analyzer 分析一段时间内健康数据的趋势和模式。关联药物、症状、生命体征、化验结果和其他健康指标的变化。识别令人担忧的趋势、改善情况，并提供数据驱动的洞察。当用户询问健康趋势、模式、随时间的变化或"我的健康状况有什么变化？"时使用。支持多维度分析（体重/BMI、症状、药物依从性、化验结果、情绪睡眠），相关性分析，变化检测，以及交互式HTML可视化报告（ECharts图表）。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
gtex-database Query GTEx (Genotype-Tissue Expression) portal for tissue-specific gene expression, eQTLs (expression quantitative trait loci), and sQTLs. Essential for linking GWAS variants to gene regulation, understanding tissue-specific expression, and interpreting non-coding variant effects.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-ribo-seq-orf-detection Detect and quantify translated ORFs from Ribo-seq data including uORFs and novel ORFs using RiboCode and ORFquant. Use when identifying translated regions beyond annotated coding sequences or quantifying ORF-level translation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-ribo-seq-ribosome-periodicity Validate Ribo-seq data quality by checking 3-nucleotide periodicity and calculating P-site offsets. Use when assessing library quality or determining read offsets for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
statistical-analysis Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
goal-analyzer 分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rnaseq-qc RNA-seq specific quality control including rRNA contamination detection, strandedness verification, gene body coverage, and transcript integrity metrics. Use when validating RNA-seq libraries before differential expression analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-sequence-similarity
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protac-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
gnomad-database Query gnomAD (Genome Aggregation Database) for population allele frequencies, variant constraint scores (pLI, LOEUF), and loss-of-function intolerance. Essential for variant pathogenicity interpretation, rare disease genetics, and identifying loss-of-function intolerant genes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
ginkgo-cloud-lab Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimization), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
boltz Structure prediction using Boltz-1/Boltz-2, an open biomolecular structure predictor. Use this skill when: (1) Predicting protein complex structures, (2) Validating designed binders, (3) Need open-source alternative to AF2, (4) Predicting protein-ligand complexes, (5) Using local GPU resources. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For Chai prediction, use chai.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
biomni-general-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
SpatialAgent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bioservices Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
opentrons-protocol-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bulk-rna-seq-deseq2-analysis-with-omicverse Walk Claude through PyDESeq2-based differential expression, including ID mapping, DE testing, fold-change thresholding, and enrichment visualisation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pan-cancer-multiomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
dask Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009