Sponsored by

Find leads on Reddit on auto pilot

Topic: skills

17,247 skills in this topic.

latchbio-integration Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cobrapy Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
medical-imaging-review Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-clustering Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE embeddings, and visualizing clusters. Use when performing dimensionality reduction and clustering on single-cell data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-nucleosome-positioning Extract nucleosome positions from ATAC-seq data using NucleoATAC, ATACseqQC, and fragment analysis. Use when analyzing chromatin organization, identifying nucleosome-free regions at promoters, or characterizing nucleosome occupancy patterns from ATAC-seq fragment size distributions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-quality-filtering Filter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have poor quality tails or require minimum quality for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-pdb-geometric-analysis Perform geometric calculations on protein structures using Biopython Bio.PDB. Use when measuring distances, angles, and dihedrals, superimposing structures, calculating RMSD, or computing solvent accessible surface area (SASA).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-local-blast
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-xcms-preprocessing XCMS3 workflow for LC-MS/MS metabolomics preprocessing. Covers peak detection, retention time alignment, correspondence (grouping), and gap filling. Use when processing raw LC-MS data into a feature table for untargeted metabolomics.
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-proteomics-protein-inference Protein grouping and inference from peptide identifications. Use when resolving protein ambiguity from shared peptides. Handles protein groups and protein-level FDR control using parsimony and probabilistic approaches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pdb Fetch and analyze protein structures from RCSB PDB. Use this skill when: (1) Need to download a structure by PDB ID, (2) Search for similar structures, (3) Prepare target for binder design, (4) Extract specific chains or domains, (5) Get structure metadata. For sequence lookup, use uniprot. For binder design workflow, use binder-design.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-systems-biology-context-specific-models
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
zarr-python Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-hic-visualization Visualize Hi-C contact matrices, TADs, loops, and genomic features using matplotlib, cooltools, and HiCExplorer. Create triangle plots, virtual 4C, and multi-track figures. Use when visualizing contact matrices or genomic features.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-rnaseq-to-de
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-crispr-screen-analysis Comprehensive CRISPR screen analysis for functional genomics. Analyze pooled or arrayed CRISPR screens (knockout, activation, interference) to identify essential genes, synthetic lethal interactions, and drug targets. Perform sgRNA count processing, gene-level scoring (MAGeCK, BAGEL), quality control, pathway enrichment, and drug target prioritization. Use for CRISPR screen analysis, gene essentiality studies, synthetic lethality detection, functional genomics, drug target validation, or identifying genetic vulnerabilities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
prs-net-deep-learning-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-metagenome-assembly
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
tooluniverse-gwas-drug-discovery Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-vcf-basics View, query, and understand VCF/BCF variant files using bcftools and cyvcf2. Use when inspecting variants, extracting specific fields, or understanding VCF format structure.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
alphafold Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
agentd-drug-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009