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Agent skills
openclaw-skills

Topic: openclaw-skills

1,539 skills in this topic.

bio-phylo-tree-manipulation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-fragment-analysis Analyzes cfDNA fragment size distributions and fragmentomics features using FinaleToolkit or Griffin. Extracts nucleosome positioning patterns, fragment ratios, and DELFI-style fragmentation profiles for cancer detection. Use when leveraging fragment patterns for tumor detection or tissue-of-origin analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-dia-analysis Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-gatk-variant-calling Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-alignment-hisat2-alignment
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-read-sequences Read biological sequence files (FASTA, FASTQ, GenBank, EMBL, ABI, SFF) using Biopython Bio.SeqIO. Use when parsing sequence files, iterating multi-sequence files, random access to large files, or high-performance parsing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tumor-heterogeneity-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
single-cell-preprocessing-with-omicverse Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-multi-omics-mofa-integration Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
single-cell-downstream-analysis Checklist-style reference for OmicVerse downstream tutorials covering AUCell scoring, metacell DEG, and related exports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rna-quantification-alignment-free-quant
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rna-quantification-count-matrix-qc
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
universal-single-cell-annotator
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-single-cell-lineage-tracing Reconstruct cell lineage trees from CRISPR barcode tracing or mitochondrial mutations. Use when studying clonal dynamics, cell fate decisions, or developmental trajectories.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-intervals-bigwig-tracks
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
bio-single-cell-trajectory-inference Infer developmental trajectories and pseudotime from single-cell RNA-seq data using Monocle3, Slingshot, and scVelo for RNA velocity analysis. Use when inferring developmental trajectories or pseudotime.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scvelo RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scrna-orchestrator Local Scanpy pipeline for single-cell RNA-seq QC, clustering, marker discovery, and optional two-group differential expression from raw-count .h5ad.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
executing-plans Use when you have a written implementation plan to execute in a separate session with review checkpoints
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
rdkit Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
compbioagent-explorer
FreedomIntelligence/OpenClaw-Medical-Skills 2,009