ReddRadar
Topic: openclaw
3,425 skills in this topic.
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bio-entrez-fetch
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-filtering
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-distance-calculations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fastq-quality
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-differential-expression-timeseries-de
Analyze time-series RNA-seq data using limma voom with splines, maSigPro, and ImpulseDE2. Identify genes with dynamic expression patterns. Use when analyzing time-series or longitudinal expression data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bindingdb-database
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-reference-panels
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-comparative-genomics-ortholog-inference
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-genome-intervals-bigwig-tracks
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-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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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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bio-orchestrator
Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-haplotype-phasing
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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bio-gatk-variant-calling
Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fragment-analysis
Analyzes cfDNA fragment size distributions and fragmentomics features using FinaleToolkit or Griffin. Extracts nucleosome positioning patterns, fragment ratios, and DELFI-style fragmentation profiles for cancer detection. Use when leveraging fragment patterns for tumor detection or tissue-of-origin analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-filter-sequences
Filter and select sequences by criteria (length, ID, GC content, patterns) using Biopython. Use when subsetting sequences, removing unwanted records, or selecting by specific criteria.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-gating-analysis
Manual and automated gating for defining cell populations in flow cytometry. Covers rectangular, polygon, and data-driven gates. Use when identifying cell populations through hierarchical gating strategies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-chipseq-peak-calling
ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files. Use when calling peaks from ChIP-seq alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-experimental-design-multiple-testing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-microbiome-differential-abundance
Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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MAGE
FreedomIntelligence/OpenClaw-Medical-Skills 2,009