Sponsored by

Find leads on Reddit on auto pilot

Agent skills
openclaw-skills

Topic: openclaw-skills

1,539 skills in this topic.

clinical-note-summarization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
string-protein-interaction-analysis-with-omicverse Help Claude query STRING for protein interactions, build PPI graphs with pyPPI, and render styled network figures for bulk gene lists.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-multimodal-integration Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA + protein or RNA + ATAC. Use when analyzing CITE-seq, Multiome, or other multi-modal single-cell data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-geo-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
geopandas Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
mage-antibody-generator
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pdx-model-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
histolab Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tcell-exhaustion-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bioservices Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chromosomal-instability-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-umi-processing Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate molecule counting is needed, such as in single-cell RNA-seq, low-input RNA-seq, or targeted sequencing to distinguish PCR from biological duplicates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
simulation-orchestrator Orchestrate multi-simulation campaigns including parameter sweeps, batch jobs, and result aggregation. Use for running parameter studies, managing simulation batches, tracking job status, combining results from multiple runs, or automating simulation workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-neighbors Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay triangulation, and radius-based connectivity for downstream spatial analyses. Use when building spatial neighborhood graphs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metagenomics-metaphlan Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
rfdiffusion Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-neighbors
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
rna-velocity-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
clinical-nlp-extractor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
foldseek Structure similarity search with Foldseek. Use this skill when: (1) Finding similar structures in PDB/AFDB databases, (2) Structural homology search, (3) Database queries by 3D structure, (4) Finding remote homologs not detected by sequence, (5) Clustering structures by similarity. For sequence similarity, use uniprot BLAST. For structure prediction, use chai or boltz.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-transcriptomics-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-experimental-design-batch-design
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