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published by awslabs
50 tools
- amazon-location-serviceGuide developers through adding maps, places search, geocoding, routing, and other geospatial features with Amazon Location Service, includi941 stars
- aws-amplifyBuild full-stack apps with AWS Amplify Gen 2 using guided workflows for authentication, data models, storage, GraphQL APIs, and Lambda funct941 stars
- aws-serverlessDesign, build, deploy, test, and debug serverless applications with AWS Serverless services.941 stars
- aws-transformMigrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Se941 stars
- databases-on-awsExpert database guidance for the AWS database portfolio. Design schemas, execute queries, handle migrations, and choose the right database f941 stars
- deploy-on-awsDeploy applications to AWS with architecture recommendations, cost estimates, and IaC deployment.941 stars
- sagemaker-aiBuild, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of 941 stars
- aws-startup-advisorPersonalized architecture, cost, security, and migration guidance for startups. From day-one account setup and security baselines to product27 stars
- migration-to-awsPlan a migration from Google Cloud Platform (and OpenAI/Gemini AI workloads) to AWS. Analyzes your Infrastructure-as-Code files, app code, a27 stars
- finetuning-setupSelects a base model and fine-tuning technique (SFT, DPO, or RLVR) for the user's use case by querying SageMaker Hub. Use when the user asks941 stars
- use-case-specificationCreates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model cu941 stars
- aws-genai-ml-architectReasoning skill for designing AWS GenAI and ML architectures for healthcare and life sciences workloads. Use when the user asks to choose be76 stars
- bioinformatics-on-healthomicsGuides users through bioinformatics analysis on AWS HealthOmics. Covers analysis type selection (alignment, variant calling, QC, interpretat76 stars
- biomarker-discoveryReason about biomarker discovery and validation in HCLS — classifying biomarker intent, choosing feature-selection and cross-validation stra76 stars
- cdisc-complianceReason about CDISC SDTM and ADaM implementation for regulatory submissions. Use when the user asks about SDTM domain mapping, ADaM dataset d76 stars
- cell-type-annotationGenerate code to assign cell type labels to single-cell RNA-seq clusters using CellTypist, SingleR, marker-based annotation, or reference la76 stars
- cheminformaticsCheminformatics pipeline for small-molecule property calculation, filtering, and similarity analysis using RDKit. Use when the user asks to 76 stars
- claims-analyticsPipeline skill for healthcare claims data parsing, analysis, and fraud detection. Use when the user asks to parse X12 837 or 835 claim files76 stars
- claims-billing-rulesReasoning skill for healthcare claims billing rules and fraud detection logic. Use when the user asks about CMS billing rules, place of serv76 stars
- clinical-data-standardsReason about clinical data terminology standards — MedDRA hierarchy (LLT→PT→HLT→HLGT→SOC), ICD-10 code structure and grouping, SNOMED CT con76 stars
- coordination-of-benefitsReasoning skill for Coordination of Benefits (COB) determination in healthcare claims. Use when a claim involves multiple insurers and the u76 stars
- dicom-processingDICOM and NIfTI medical image processing pipeline. Triggers on DICOM, NIfTI, dcm2niix, de-identification, pydicom, DICOM header, conversion,76 stars
- digital-pathologyGenerate correct code for whole-slide image (WSI) analysis using TIAToolbox and foundation models (H-optimus-0, UNI, Prov-GigaPath). Trigger76 stars
- drug-repurposingReason about drug repurposing strategies in HCLS — choosing between target-based and phenotype-based approaches, evaluating mechanism-of-act76 stars
- edc-data-validationGenerate code for EDC export validation, clinical data range checks, cross-form consistency checks, SDTM structure validation, controlled te76 stars
- ehr-data-parsingParse and extract clinical data from HL7v2 messages and FHIR R4 resources using Python. Use when the user mentions HL7v2, HL7, FHIR, PID seg76 stars
- genomic-variant-interpretationReason about germline and somatic variant classification using ACMG/AMP 2015 and AMP/ASCO/CAP frameworks. Use when the user asks to classify76 stars
- hedis-measure-specificationReasoning skill for HEDIS measure specification, enrollment logic, exclusion evaluation, NCQA audit requirements, and care gap prioritizatio76 stars
- imaging-study-designReasoning skill for medical imaging study design and biomarker selection. Use when the user asks to plan an imaging study, choose a preproce76 stars
- medical-device-software-complianceReason about SaMD (Software as a Medical Device) regulatory compliance for FDA, EU MDR, and global submissions. Use when the user asks about76 stars
- ml-researcherReason about ML experiment design for healthcare and life sciences data. Use when the user asks to design an ML study, choose a model for cl76 stars
- molecular-dockingMolecular docking pipeline using AutoDock Vina for structure-based drug discovery. Triggers on docking, AutoDock Vina, receptor preparation,76 stars
- multi-omics-integrationReasoning skill for multi-omics data integration strategy selection. Use when the user asks to integrate transcriptomics with proteomics, co76 stars
- multi-omics-pipelinePipeline skill for multi-omics data processing and integration. Use when the user asks to map gene IDs between HGNC Ensembl and UniProt, con76 stars
- ngs-quality-controlNGS quality control pipeline for short-read sequencing data. Triggers on FastQC, QC, quality control, adapter trimming, coverage, mosdepth, 76 stars
- pa-clinical-policyReasoning skill for prior authorization clinical policy evaluation. Use when the user asks about payer clinical criteria, step therapy requi76 stars
- pa-decision-automationPipeline skill for automating prior authorization decision workflows. Use when the user asks to parse PA request data (X12 278 or FHIR PAS b76 stars
- pharmacoepidemiologyReason about pharmacoepidemiologic study design for causal inference from real-world data — choosing active comparator new-user designs, emu76 stars
- protein-structure-analysisPipeline skill for protein structure analysis covering PDB/mmCIF parsing, RMSD superposition, Ramachandran/dihedral analysis, binding pocket76 stars
- provider-denial-workupReasoning skill for healthcare revenue cycle denial management. Use when the user needs to appeal a claim denial, draft a payer-ready denial76 stars
- quality-measuresPipeline skill for computing HEDIS quality measures from claims and clinical data. Use when the user asks to calculate HEDIS measure rates, 76 stars
- quantitative-proteomicsReason about quantitative proteomics experiment design and data analysis strategy. Use when the user asks to choose between LFQ, TMT, and DI76 stars
- radiology-preprocessingStructural MRI/CT preprocessing pipeline for radiology workflows covering skull stripping, bias field correction, registration, and intensit76 stars
- risk-adjustmentPipeline skill for CMS-HCC risk adjustment calculation and coding gap identification. Use when the user asks to apply the ICD-10-to-HCC cros76 stars
- risk-adjustment-strategyReasoning skill for CMS-HCC risk adjustment strategy and methodology. Use when the user asks about CMS-HCC model versions V24 or V28, blende76 stars
- risk-stratification-indicesReasoning skill for clinical risk stratification index selection and interpretation. Use when the user asks about LACE scores, Charlson Como76 stars
- rna-seq-analysisBulk RNA-seq analysis pipeline covering alignment (STAR), quantification (Salmon, featureCounts), and differential expression (DESeq2). Trig76 stars
- rwd-cohort-analysisReal-world data cohort analysis pipeline for claims and EHR data — cohort identification with ICD-10, NDC, and CPT codes, medication adheren76 stars
- scrna-seq-pipelineScanpy-based single-cell RNA-seq analysis pipeline covering loading (10X, h5ad), QC, normalization, HVG selection, PCA/UMAP, Leiden clusteri76 stars
- structure-based-drug-designReasoning skill for structure-based drug design strategy. Use when the user asks to assess target druggability, choose a docking strategy, s76 stars
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