Sponsored by

Find leads on Reddit on auto pilot

Topic: skills

17,247 skills in this topic.

bio-causal-genomics-pleiotropy-detection Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instruments, or running sensitivity analyses for causal inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-jacks-analysis JACKS (Joint Analysis of CRISPR/Cas9 Knockout Screens) for modeling sgRNA efficacy and gene essentiality. Use when analyzing multiple CRISPR screens simultaneously or when accounting for variable sgRNA efficiency across experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bgpt-paper-search Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-hic-data-io Load, convert, and manipulate Hi-C contact matrices using cooler format. Read .cool/.mcool files, convert from .hic format, access matrix data, and export to different formats. Use when loading or converting Hi-C contact matrices.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-msa-parsing Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-admet-prediction Predicts ADMET properties using ADMETlab 3.0 API or DeepChem models. Estimates bioavailability, CYP inhibition, hERG liability, and 119 toxicity endpoints with uncertainty quantification. Filters for PAINS and other structural alerts. Use when filtering compounds for drug-likeness or prioritizing leads by predicted safety.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-doublet-detection Detect and remove doublets from flow and mass cytometry data. Covers FSC/SSC gating and computational doublet detection methods. Use when filtering out cell aggregates before clustering or quantitative analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-compressed-files Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython. Use when working with .gz or .bz2 sequence files. Use BGZF for indexable compressed files.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-tumor-mutational-burden Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-off-target-prediction Predict CRISPR off-target sites using Cas-OFFinder and CFD scoring algorithms. Identify potential unintended cleavage sites genome-wide and assess guide specificity. Use when evaluating guide RNA specificity or selecting guides with minimal off-target risk.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-variant-prioritization Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-fcs-handling Read and manipulate Flow Cytometry Standard (FCS) files. Covers loading data, accessing parameters, and basic data exploration. Use when loading and inspecting flow or mass cytometry data before preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
aeon This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
armored-cart-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
alphafold-database Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-grna-design Design guide RNAs for CRISPR-Cas9/Cas12a experiments using CRISPRscan and local scoring algorithms. Score guides for on-target activity using Rule Set 2 and Azimuth models. Use when designing sgRNAs for gene knockout, activation, or repression experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-motif-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bayesian-optimizer
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-short-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epitranscriptomics-m6a-differential
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-comparative-genomics-positive-selection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-qc ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use to assess experiment quality before downstream analysis. Use when assessing ChIP-seq data quality metrics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-crispresso-editing CRISPResso2 for analyzing CRISPR gene editing outcomes. Quantifies indels, HDR efficiency, and generates comprehensive editing reports. Use when analyzing amplicon sequencing data from CRISPR editing experiments to assess editing efficiency.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009