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Topic: clawhub

924 skills in this topic.

bio-pdb-structure-modification Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, or building structures programmatically.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-long-read-sequencing-clair3-variants Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinical or research applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-quality-reports Generate and interpret quality reports from FASTQ files using FastQC and MultiQC. Assess per-base quality, adapter content, GC bias, duplication levels, and overrepresented sequences. Use when performing initial QC on raw sequencing data or validating preprocessing results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
STAgent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scientific-problem-selection This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
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
medchem Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cytokine-storm-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-splicing-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
microbiome-cancer-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-causal-genomics-colocalization-analysis Test whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metagenomics-functional-profiling Profile functional potential of metagenomes using HUMAnN3 and similar tools. Use when obtaining pathway abundances, gene family counts, or functional annotations from metagenomic data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-hla-typing Call HLA alleles from NGS data using OptiType, HLA-HD, or arcasHLA for immunogenomics applications. Use when determining HLA genotype for transplant matching, neoantigen prediction, or pharmacogenomic screening.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
recovery-community-moderator Trauma-informed AI moderator for addiction recovery communities. Applies harm reduction principles, honors 12-step traditions, distinguishes healthy conflict from abuse, detects crisis posts. Activate on 'community moderation', 'moderate forum', 'review post', 'check content', 'crisis detection'. NOT for legal documents (use recovery-app-legal-terms), app development (use domain skills), or therapy (use jungian-psychologist).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
numerical-integration Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pytdc Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-base-editing-analysis Analyzes base editing and prime editing outcomes including editing efficiency, bystander edits, and indel frequencies. Use when quantifying CRISPR base editor results, comparing ABE vs CBE efficiency, or assessing prime editing fidelity.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-sequence-retrieval Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
differentiation-schemes Select and apply numerical differentiation schemes for PDE/ODE discretization. Use when choosing finite difference/volume/spectral schemes, building stencils, handling boundaries, estimating truncation error, or analyzing dispersion and dissipation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-atlas-mapping
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pydicom Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
time-resolved-cryoem-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-rnaseq-qc RNA-seq specific quality control including rRNA contamination detection, strandedness verification, gene body coverage, and transcript integrity metrics. Use when validating RNA-seq libraries before differential expression analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-domains
FreedomIntelligence/OpenClaw-Medical-Skills 2,009