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Topic: nanoclaw

968 skills in this topic.

bio-single-cell-doublet-detection Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid artificial cell populations. Use when identifying and removing doublets from scRNA-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
patents-search Search global patents with natural language queries. Prior art, patent landscapes, and innovation tracking via Valyu.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
clinical-note-summarization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pdx-model-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-methylation-calling Extract methylation calls from Bismark BAM files using bismark_methylation_extractor. Generates per-cytosine reports for CpG, CHG, and CHH contexts. Use when extracting methylation levels from aligned bisulfite sequencing data for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
perplexity-search Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pharmacogenomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
clinical-nlp-extractor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metagenomics-metaphlan Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pptx Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
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
protac-design-agent
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
bio-single-cell-multimodal-integration Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA + protein or RNA + ATAC. Use when analyzing CITE-seq, Multiome, or other multi-modal single-cell data.
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
chromosomal-instability-agent
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
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-clinical-databases-polygenic-risk Calculate polygenic risk scores using PRSice-2, LDpred2, or PRS-CS from GWAS summary statistics. Use when predicting disease risk from genome-wide genetic variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-atlas-mapping
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
rna-velocity-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-bead-normalization Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.
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