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Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

bio-clip-seq-clip-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-motif-analysis De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding motifs in ChIP-seq, ATAC-seq, or other genomic peak data. Use when finding enriched DNA motifs in peak sequences.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-hit-calling Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes. Use when identifying significant genes from screen count data after QC passes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-long-read-sequencing-clair3-variants Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinical or research applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-ggplot2-fundamentals
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-immunoinformatics-tcr-epitope-binding Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitopes or predict TCR targets. Use when analyzing TCR repertoire specificity or identifying antigen-reactive T-cells.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-differential-binding Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epitranscriptomics-merip-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-geo-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-entrez-search
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epidemiological-genomics-amr-surveillance Detect and track antimicrobial resistance genes using AMRFinderPlus and ResFinder with epidemiological context. Monitor resistance trends and identify emerging resistance patterns. Use when screening genomes for AMR genes or tracking resistance in surveillance programs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-atac-qc Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
adaptyv Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-batch-correction Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-immunoinformatics-neoantigen-prediction Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient HLA and may elicit T-cell responses. Use when identifying vaccine targets or checkpoint inhibitor response biomarkers from tumor sequencing data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-causal-genomics-colocalization-analysis Test whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longitudinal-monitoring Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-heatmaps-clustering
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-codon-usage
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-assembly-polishing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-polygenic-risk Calculate polygenic risk scores using PRSice-2, LDpred2, or PRS-CS from GWAS summary statistics. Use when predicting disease risk from genome-wide genetic variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-experimental-design-batch-design
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-consensus-sequences Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific reference sequences or reconstructing haplotypes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009