ReddRadar
Topic: skills
17,247 skills in this topic.
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bio-workflows-scrnaseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pdb-structure-io
Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, or writing structures to various formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflow-management-snakemake-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-riboseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-proteomics-dia-analysis
Data-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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galaxy-bridge
Galaxy tool discovery, intelligent recommendation, and execution — 8,000+ bioinformatics tools from usegalaxy.org with multi-signal scoring and workflow suggestions
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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geo-database
Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-multi-omics-mofa-integration
Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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antibody-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-clustering-phenotyping
Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without predefined gates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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binder-design
Guidance for choosing the right protein binder design tool. Use this skill when: (1) Deciding between BoltzGen, BindCraft, or RFdiffusion, (2) Planning a binder design campaign, (3) Understanding trade-offs between different approaches, (4) Selecting tools for specific target types.
For specific tool parameters, use the individual tool skills (boltzgen, bindcraft, rfdiffusion, etc.).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pathway-wikipathways
WikiPathways enrichment using clusterProfiler and rWikiPathways. Use when analyzing gene lists against community-curated open-source pathways. Performs over-representation analysis and GSEA for 30+ species.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bindcraft
End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate.
For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-annotation
Comprehensive variant annotation using bcftools annotate/csq, VEP, SnpEff, and ANNOVAR. Add database annotations, predict functional consequences, and assess clinical significance. Use when annotating variants with functional and clinical information.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-rna-quantification-count-matrix-qc
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-modern-tree-inference
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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cellagent-annotation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-cytometry-qc
Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-distance-calculations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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leads-literature-mining
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-atac-seq-footprinting
Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 cutting.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-diagnostic-reasoning
Identify and counteract cognitive biases in medical decision-making through systematic error analysis and contextual algorithm application. For diagnostic reasoning, treatment decisions, and clinical judgment improvement. NOT for basic medical knowledge, technical procedures, or non-clinical healthcare domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009