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Agent skills
claude-code

Topic: claude-code

35,830 skills in this topic.

bio-metabolomics-targeted-analysis Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-phylo-distance-calculations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-riboseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-cytometry-qc Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-phasing-imputation-reference-panels
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
boltzgen All-atom protein design using BoltzGen diffusion model. Use this skill when: (1) Need side-chain aware design from the start, (2) Designing around small molecules or ligands, (3) Want all-atom diffusion (not just backbone), (4) Require precise binding geometries, (5) Using YAML-based configuration. For backbone-only generation, use rfdiffusion. For sequence-only design, use proteinmpnn. For structure validation, use boltz.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
clinical-decision-support Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bioinformatics-singlecell
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-fastq-quality Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-transcription-translation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-systems-biology-gene-essentiality
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
immune-checkpoint-combination-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cellagent-annotation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
crispr-offtarget-predictor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bindcraft End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chemcrow-drug-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-perturb-seq Analyze Perturb-seq and CROP-seq CRISPR screening data integrated with scRNA-seq. Use when identifying gene function through pooled genetic perturbations in single cells.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bindingdb-database Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bulk-rna-seq-batch-correction-with-combat Use omicverse's pyComBat wrapper to remove batch effects from merged bulk RNA-seq or microarray cohorts, export corrected matrices, and benchmark pre/post correction visualisations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-contamination-screening Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-clustering-phenotyping Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without predefined gates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-variant-calling-clinical-interpretation Clinical variant interpretation using ClinVar, ACMG guidelines, and pathogenicity predictors. Prioritize variants for diagnostic and research applications. Use when interpreting clinical significance of variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-batch-integration Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-peak-calling ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files. Use when calling peaks from ChIP-seq alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009