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Topic: awesome

1,258 skills in this topic.

bio-differential-expression-batch-correction Remove batch effects from RNA-seq data using ComBat, ComBat-Seq, limma removeBatchEffect, and SVA for unknown batch variables. Use when correcting batch effects in expression data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-drug-drug-interaction Comprehensive drug-drug interaction (DDI) prediction and risk assessment. Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies. Supports single drug pairs, polypharmacy analysis (3+ drugs), and alternative drug recommendations. Use when users ask about drug interactions, medication safety, polypharmacy risks, or need DDI assessment for clinical decision support.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epidemiological-genomics-pathogen-typing Perform multi-locus sequence typing (MLST), core genome MLST, and SNP-based strain typing for bacterial isolate characterization using mlst and chewBBACA. Use when identifying strain types, tracking outbreak clones, or characterizing bacterial isolates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
fastq-analysis-pipeline Guide through omicverse's alignment module for SRA downloading, FASTQ quality control, STAR alignment, gene quantification, and single-cell kallisto/bustools pipelines covering both bulk and single-cell RNA-seq workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
shap Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reporting-jupyter-reports
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
biomaster-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-expression-matrix-metadata-joins
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-immunoinformatics-epitope-prediction Predict B-cell and T-cell epitopes using BepiPred, IEDB tools, and structure-based methods for vaccine and antibody design. Identify immunogenic regions in antigens. Use when designing vaccines, mapping antibody binding sites, or predicting immunogenic peptides.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
receiving-code-review Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-myvariant-queries Query myvariant.info API for aggregated variant annotations from multiple databases (ClinVar, gnomAD, dbSNP, COSMIC, etc.) in a single request. Use when annotating variants with clinical and population data from multiple sources simultaneously.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-spectral-libraries Build, manage, and search spectral libraries for proteomics. Use when creating or working with spectral libraries for DIA analysis. Covers DDA-based library generation, predicted libraries (Prosit, DeepLC), and library formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pubchem-database Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tpd-ternary-complex-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-contamination-detection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-primer-design-primer-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-cnvkit-analysis Detect copy number variants from targeted/exome sequencing using CNVkit. Supports tumor-normal pairs, tumor-only, and germline CNV calling. Use when detecting CNVs from WES or targeted panel sequencing data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protocolsio-integration Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
data-transform Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-binding-site-annotation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-prime-editing-design Design pegRNAs for prime editing using PrimeDesign algorithms. Generate spacer, PBS, and RT template sequences for precise genomic modifications without double-strand breaks. Use when designing prime editing experiments for precise insertions, deletions, or point mutations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-model-validation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pathway-go-enrichment Gene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression or other analyses. Supports all three ontologies (BP, MF, CC), multiple ID types, and customizable statistical thresholds.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-microbiome-amplicon-processing Amplicon sequence variant (ASV) inference from 16S rRNA or ITS amplicon sequencing using DADA2. Covers quality filtering, error learning, denoising, and chimera removal. Use when processing demultiplexed amplicon FASTQ files to generate an ASV table for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009