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Topic: skills

17,247 skills in this topic.

bio-imaging-mass-cytometry-data-preprocessing Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for segmentation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cancer-metabolism-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-population-genetics-plink-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-hdr-template-design Design homology-directed repair donor templates for CRISPR knock-ins using primer3-py. Create ssODN, dsDNA, or plasmid templates with optimized homology arms. Use when designing donor templates for precise insertions, tagging, or allele replacement.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
regulatory-drafter
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-differential-splicing Detects differential alternative splicing between conditions using rMATS-turbo (BAM-based) or SUPPA2 diffSplice (TPM-based). Reports events with FDR-corrected significance and delta PSI effect sizes. Use when comparing splicing patterns between treatment groups, tissues, or disease states.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
deep-research-swarm
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-cell-annotation Automated cell type annotation using reference-based methods including CellTypist, scPred, SingleR, and Azimuth for consistent, reproducible cell labeling. Use when automatically annotating cell types using reference datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-motif-deviation Analyze transcription factor motif accessibility variability using chromVAR. Use when identifying which TF motifs show variable accessibility across samples or conditions in ATAC-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
data-viz-plots Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-microbiome-functional-prediction Predict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun metagenomics sequencing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
molfeat Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
autonomous-oncology-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-differential-mirna
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
phylogenetics Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-metabolite-communication Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-restriction-mapping
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protein-design-workflow End-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reverse-complement
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reaction-enumeration Enumerates chemical libraries through reaction SMARTS transformations using RDKit. Generates virtual compound libraries from building blocks using defined chemical reactions with product validation. Use when creating combinatorial libraries or enumerating products from synthetic routes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
long-read-sequencing-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
drug-photo Medication photo to personalised PGx dosage card via Claude vision — snap a pill, get genotype-informed guidance
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-gatk-cnv Call copy number variants using GATK best practices workflow. Supports both somatic (tumor-normal) and germline CNV detection from WGS or WES data. Use when following GATK best practices or integrating CNV calling with other GATK variant pipelines.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-model-validation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009