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Topic: clawhub

924 skills in this topic.

spatial-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-peptide-identification Peptide-spectrum matching and protein identification from MS/MS data. Use when identifying peptides from tandem mass spectra. Covers database searching, spectral library matching, and FDR estimation using target-decoy approaches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-protein-therapeutic-design Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold/AlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or engineer protein function.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-population-genetics-linkage-disequilibrium
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-population-genetics-association-testing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-immunoinformatics-tcr-epitope-binding Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitopes or predict TCR targets. Use when analyzing TCR repertoire specificity or identifying antigen-reactive T-cells.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
scientific-brainstorming Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epidemiological-genomics-amr-surveillance Detect and track antimicrobial resistance genes using AMRFinderPlus and ResFinder with epidemiological context. Monitor resistance trends and identify emerging resistance patterns. Use when screening genomes for AMR genes or tracking resistance in surveillance programs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
adaptyv Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-variant-interpretation Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.
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
bio-entrez-search
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
bio-atac-seq-atac-qc Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
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
bio-data-visualization-genome-tracks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
umap-learn UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-atlas-mapping
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-statistical-modeling Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-multiomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longitudinal-monitoring Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
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