Topic: openclaw-skills
1,539 skills in this topic.
-
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
-
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
tooluniverse-literature-deep-research
Conduct comprehensive literature research with target disambiguation, evidence grading, and structured theme extraction. Creates a detailed report with mandatory completeness checklist, biological model synthesis, and testable hypotheses. For biological targets, resolves official IDs (Ensembl/UniProt), synonyms, naming collisions, and gathers expression/pathway context before literature search. Default deliverable is a report file; for single factoid questions, uses a fast verification mode and may include an inline answer. Use when users need thorough literature reviews, target profiles, or to verify specific claims from the literature.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-data-visualization-volcano-customization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-phasing-imputation-haplotype-phasing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
scientific-manuscript
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
popeve-variant-predictor-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
scvelo
RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and identify driver genes in single-cell RNA-seq data. Complements Scanpy/scVI-tools for trajectory inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
monarch-database
Query the Monarch Initiative knowledge graph for disease-gene-phenotype associations across species. Integrates OMIM, ORPHANET, HPO, ClinVar, and model organism databases. Use for rare disease gene discovery, phenotype-to-gene mapping, cross-species disease modeling, and HPO term lookup.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-causal-genomics-mediation-analysis
Decompose genetic effects into direct and indirect paths through mediating variables using the mediation R package. Tests whether gene expression, methylation, or other molecular phenotypes mediate the effect of genetic variants on disease. Use when testing whether a molecular phenotype mediates the genotype-to-phenotype relationship.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-comparative-genomics-ortholog-inference
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
ctdna-dynamics-mrd-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
crispr-offtarget-predictor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
compbioagent-explorer
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
patiently-ai
Patiently AI simplifies medical documents for patients. Takes doctor's letters, test results, prescriptions, discharge summaries, and clinical notes and explains them in clear, personalised language. Built by PharmaTools.AI.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
drug-discovery-search
End-to-end drug discovery platform combining ChEMBL compounds, DrugBank, targets, and FDA labels. Natural language powered by Valyu.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
tcga-bulk-data-preprocessing-with-omicverse
Guide Claude through ingesting TCGA sample sheets, expression archives, and clinical carts into omicverse, initialising survival metadata, and exporting annotated AnnData files.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
ligandmpnn
Ligand-aware protein sequence design using LigandMPNN. Use this skill when: (1) Designing sequences around small molecules, (2) Enzyme active site design, (3) Ligand binding pocket optimization, (4) Metal coordination site design, (5) Cofactor binding proteins.
For standard protein design, use proteinmpnn. For solubility optimization, use solublempnn.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
hypogenic
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009