AWS Labs Skills

245 skills · showing 121–180 · open in filtered browse

Hyperpod Incident TriageCorrelation and skip rules for SageMaker HyperPod incident triage. Keeps distinct fault types on the same instance group as separate investigations (the default correlator merges them), and prevents periodic-audit re-investigation of an unchanged cluster. Applies at the Incident Triage stage before any investigation runs.awslabs/awsome-distributed-ai483
Validate DeploymentPost-deployment health checks for slinky-slurm including pod status, Slurm node registration, SSH connectivity, and test job submissionawslabs/awsome-distributed-ai483
Threat DesignerRun a threat-model-driven security review of the current repository using the threat-designer CLI. Analyzes the codebase, generates an architecture diagram, runs STRIDE-based threat modeling, and produces an actionable tasks.md with security findings.awslabs/threat-designer291
Argocd AddonCreate a new ArgoCD addon in this project. Use when adding a Kubernetes application deployed via ArgoCD and managed through Terraform, including the ArgoCD Application manifest, Terraform resources, and variables.awslabs/ai-on-eks214
NodepoolsCreate a new Karpenter NodePool in this project. Use when adding or configuring EC2 instance provisioning for workloads on EKS, including standard Karpenter and EKS Auto Mode nodepools, EFA networking for P-family instances, and toggle strategies.awslabs/ai-on-eks214
IssueImplement a GitHub issue end-to-end — branch, code, test, docs, and commit.awslabs/loom196
ReleaseIncrement the release version, draft release notes, and prepare a GitHub release.awslabs/loom196
ShipFinalize dev work on an issue branch — update docs, push, and open a PR.awslabs/loom196
Documentdb AdvisorAmazon DocumentDB expert advisor for database optimization, query tuning, index management, instance sizing, cost analysis, anti-pattern detection, and migration guidance. Powers Prism's conversational advisor — agentic Bedrock tool-use, two-step classify→fetch→answer chat, topic-aware reference injection, safety-gated query execution, and per-slow-query AI recommendations. Use when asking about DocumentDB best practices, performance issues, query plans, supported operators, serverless vs provisawslabs/amazon-documentdb-tools163
Documentdb Well Architected ReviewPerforms a comprehensive Well-Architected review of Amazon DocumentDB clusters. Evaluates cluster configuration against 6 pillars (Reliability, Security, Operational Excellence, Performance Efficiency, Cost Optimization, Sustainability), generates findings with remediation guidance, and produces a universal JSON export + interactive HTML dashboard.awslabs/amazon-documentdb-tools163
Prism DashTop-level guide to the Prism Dash platform — an autonomous Amazon DocumentDB analysis and advisory tool built on Python/Dash. Covers the Observe→Reason→Decide→Act agent loop, the AnalyzerPlugin system, the 8-module analysis pipeline, cross-module correlation, cross-run memory, the Bedrock AI advisory stack, the code review engine, and Markdown report generation. Use when you need to understand how Prism works end-to-end, where a capability lives, or how the sub-skills (documentdb-advisor, documeawslabs/amazon-documentdb-tools163
Nx Plugin For AwsScaffold and build cloud-native applications on AWS using @aws/nx-plugin generators. Use when the user wants to create workspaces, generate projects, or scaffold infrastructure with the Nx Plugin for AWS.awslabs/nx-plugin-for-aws151
Iam Policy ValidatorValidate the IAM policies in a CloudFormation template against AWS IAM Access Analyzer before deploying, using the cfn-policy-validator CLI. Use when reviewing or gating a CloudFormation (or CDK-synthesized) template that defines IAM identity or resource policies, when asked to check a template for policy errors, public access, privilege escalation, or whether a change grants access beyond an approved baseline.awslabs/aws-cloudformation-iam-policy-validator146
Vams AgentOperate a Visual Asset Management System (VAMS) deployment through the installed `vamscli` command-line tool. Use for searching, inspecting, researching, bulk-updating, cross-linking, or processing VAMS databases, assets, files, metadata, versions, tags, asset links, and the pipeline / workflow / execution processing engine. The skill self-discovers the current commands via `vamscli --help` (no hardcoded command references) and operates in READ-ONLY mode by default.awslabs/visual-asset-management-system144
Phase 1 Business ContextPhase 1 Business Context Analysis guide. Use when starting a threat model, setting business context, or configuring business features like industry sector, data sensitivity, and regulatory requirements.awslabs/threat-modeling-mcp-server110
Phase 2 ArchitecturePhase 2 Architecture Analysis guide. Use when documenting system components, connections, data stores, or analyzing technical architecture for threat modeling.awslabs/threat-modeling-mcp-server110
Phase 3 Threat ActorsPhase 3 Threat Actor Analysis guide. Use when identifying threat actors, setting relevance and priority, or analyzing who might attack the system.awslabs/threat-modeling-mcp-server110
Phase 4 Trust BoundariesPhase 4 Trust Boundary Analysis guide. Use when defining trust zones, crossing points, and security boundaries between architecture nodes.awslabs/threat-modeling-mcp-server110
Phase 5 Asset FlowsPhase 5 Asset Flow Analysis guide. Use when identifying valuable assets, tracking data flows, or analyzing how sensitive data moves through the system.awslabs/threat-modeling-mcp-server110
Phase 6 Threat IdentificationPhase 6 Threat Identification guide with STRIDE methodology reference. Use when identifying threats, categorizing security issues, applying STRIDE analysis, or assessing threat severity and likelihood.awslabs/threat-modeling-mcp-server110
Phase 7 5 Code ValidationPhase 7.5 Code Validation guide. Use when validating threats and mitigations against actual code or reviewing implementation evidence.awslabs/threat-modeling-mcp-server110
Phase 7 Mitigation PlanningPhase 7 Mitigation Planning guide. Use when creating mitigations, linking them to threats, validating coverage, or planning security controls.awslabs/threat-modeling-mcp-server110
Phase 8 Residual RiskPhase 8 Residual Risk Analysis guide. Use when assessing remaining risk after mitigations and recording explicit risk decisions.awslabs/threat-modeling-mcp-server110
Phase 9 Output GenerationPhase 9 Output Generation guide with Threat Composer export reference. Use when generating final reports, exporting to JSON/Markdown, or completing the threat modeling process.awslabs/threat-modeling-mcp-server110
Ic2Activate when the user asks to work on an Isabelle session or theory (`.thy`) — make changes, develop a proof, fix a proof, resolve a sorry, refactor tactics, chase down an error. Prefer over `isabelle build`. If the user has not already picked a tool, clarify whether IC2 (headless, CLI-driven) or I/Q (interactive, jEdit GUI) is the right fit for the task; in headless/agent contexts default to IC2.awslabs/AutoCorrode108
Check Cloudwatch Session LogsQuery and analyze AWS CloudWatch logs/traces for Bedrock AgentCore runtime sessions. Use when the user asks about a specific AgentCore session — why it failed, why it hung, what tools it called, how long each step took, or wants to pull the full trace for a given session_id.awslabs/agentcore-rl-toolkit72
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 between SageMaker and Bedrock, design a RAG system over medical literature, architect clinical NLP or medical imaging inference, plan genomics or drug discovery pipelines on AWS, address HIPAA/PHI compliance in ML systems, design MLOps for regulated clinical models, or optimize cost for HCLS ML workloads. Triggers include "AWS architecture", "SageMaker vs Bedrawslabs/hcls-agent-skills42
Bioinformatics On HealthomicsGuides users through bioinformatics analysis on AWS HealthOmics. Covers analysis type selection (alignment, variant calling, QC, interpretation), workflow generation in Nextflow or WDL, container sourcing from public registries, infrastructure setup (S3, ECR, IAM), workflow registration, parameter preparation, execution, and monitoring. Use when a user wants to run any bioinformatics pipeline on HealthOmics, set up genomics infrastructure on AWS, create a new analysis workflow, or run existing tawslabs/hcls-agent-skills42
Biomarker DiscoveryReason about biomarker discovery and validation in HCLS — classifying biomarker intent, choosing feature-selection and cross-validation strategies, avoiding leakage, and planning external replication. Use when the user asks to discover, develop, or validate a biomarker; select features from high-dimensional omics or clinical data; design a validation study; choose evaluation metrics; justify sample size; combine multi-omics signals; or assess clinical utility. Triggers include "discover a biomarawslabs/hcls-agent-skills42
Cdisc ComplianceReason about CDISC SDTM and ADaM implementation for regulatory submissions. Use when the user asks about SDTM domain mapping, ADaM dataset design, controlled terminology versioning, define.xml completeness, FDA or PMDA submission requirements, query prioritization by clinical impact, SUPPQUAL usage, or CDISC compliance review. Triggers include "SDTM mapping", "ADaM dataset", "CDISC compliance", "controlled terminology", "define.xml", "FDA submission data", "PMDA submission", "SDTM domain", "ADSLawslabs/hcls-agent-skills42
Cell Type AnnotationGenerate code to assign cell type labels to single-cell RNA-seq clusters using CellTypist, SingleR, marker-based annotation, or reference label transfer (scANVI/ingest). Triggers on requests to "annotate cell types", "label clusters", "run CellTypist", "SingleR annotation", "marker gene dotplot", "transfer labels from reference atlas", "cell identity", "automated annotation", "reference mapping", "scANVI label transfer", "canonical markers", "immune cell types", "hierarchical annotation", "majorawslabs/hcls-agent-skills42
CheminformaticsCheminformatics pipeline for small-molecule property calculation, filtering, and similarity analysis using RDKit. Use when the user asks to compute molecular descriptors, filter compounds by Lipinski or Veber rules, detect PAINS, calculate fingerprint similarity, run matched molecular pair analysis, generate ADMET descriptors, or process SMILES. Triggers include "RDKit", "molecular descriptors", "Lipinski", "rule of five", "Veber", "PAINS", "pan-assay interference", "Morgan fingerprint", "Tanimoawslabs/hcls-agent-skills42
Claims AnalyticsPipeline skill for healthcare claims data parsing, analysis, and fraud detection. Use when the user asks to parse X12 837 or 835 claim files, manipulate ICD-10 CPT or HCPCS codes, detect billing pattern anomalies, profile providers against specialty peers, identify outlier billing behavior, validate NCCI edits programmatically, detect duplicate claims, run Benford's law analysis on charges, build claims data pipelines, or analyze E&M code distributions. Triggers include "parse X12 837", "parse 8awslabs/hcls-agent-skills42
Claims Billing RulesReasoning skill for healthcare claims billing rules and fraud detection logic. Use when the user asks about CMS billing rules, place of service codes, global surgery periods, modifier usage (25 59 76 77), NCCI edit logic, column 1 column 2 code pairs, mutually exclusive procedures, modifier indicators, fraud waste and abuse patterns, E&M upcoding, unbundling, phantom billing, impossible day detection, coding error versus fraud distinction, FWA investigation methodology, or claims audit logic. Trawslabs/hcls-agent-skills42
Clinical Data StandardsReason about clinical data terminology standards — MedDRA hierarchy (LLT→PT→HLT→HLGT→SOC), ICD-10 code structure and grouping, SNOMED CT concept model, LOINC panel relationships, and mapping decisions between systems. Use when the user asks to code adverse events, map diagnoses to ICD-10, choose a coding granularity level, group AEs by SOC or PT, interpret SNOMED CT relationships, select LOINC codes for lab panels, convert between terminology systems, or decide when to aggregate at HLT vs PT levawslabs/hcls-agent-skills42
Coordination Of BenefitsReasoning skill for Coordination of Benefits (COB) determination in healthcare claims. Use when a claim involves multiple insurers and the user needs to know which plan pays first, how to sequence billing, or why a COB-related denial or underpayment occurred. Covers Medicare Secondary Payer (MSP) rules and NAIC commercial COB order-of-benefits logic. Triggers include "coordination of benefits", "COB", "Medicare secondary payer", "MSP", "which insurance is primary", "birthday rule", "primary payeawslabs/hcls-agent-skills42
Dicom ProcessingDICOM and NIfTI medical image processing pipeline. Triggers on DICOM, NIfTI, dcm2niix, de-identification, pydicom, DICOM header, conversion, anonymization, BIDS, DICOM tags, medical image format conversion, "DICOM to NIfTI", "burned-in PHI", "SeriesInstanceUID", "nibabel", "DICOM anonymization".awslabs/hcls-agent-skills42
Digital PathologyGenerate correct code for whole-slide image (WSI) analysis using TIAToolbox and foundation models (H-optimus-0, UNI, Prov-GigaPath). Triggers on requests involving whole-slide images, WSI, digital pathology, histopathology, SVS/NDPI/pyramidal TIFF, tissue segmentation, patch extraction, stain normalization, H-optimus-0, TIAToolbox, CAMELYON16/17, SlideGraph, MIL aggregation, HoVer-Net, PanNuke, or SageMaker deployment of pathology models. Produces deterministic commands and Python snippets for sawslabs/hcls-agent-skills42
Drug RepurposingReason about drug repurposing strategies in HCLS — choosing between target-based and phenotype-based approaches, evaluating mechanism-of-action overlap, querying drug-gene interaction databases, assessing clinical translatability, and ranking candidates by evidence strength. Use when the user asks to repurpose a drug, find approved drugs for a new indication, evaluate a repurposing candidate, query DGIdb or OpenTargets, assess drug-target interactions, design a repurposing study, rank repurposinawslabs/hcls-agent-skills42
Edc Data ValidationGenerate code for EDC export validation, clinical data range checks, cross-form consistency checks, SDTM structure validation, controlled terminology verification, and define.xml generation. Use when the user asks to validate clinical trial data exports, check vital sign or lab value ranges, verify AE date consistency, validate SDTM datasets against CDISC rules, generate define.xml, or build an automated data review pipeline. Triggers include "EDC validation", "range check clinical data", "crossawslabs/hcls-agent-skills42
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 segment, OBX segment, MSH segment, Patient resource, Observation resource, Condition resource, MedicationRequest, EHR data extraction, clinical message parsing, FHIR bundle, HL7 to FHIR conversion, ADT message, ORU message, lab result extraction, or clinical data quality checks. Triggers include "parse HL7", "extract FHIR", "HL7v2 message", "FHIR resource", "PIawslabs/hcls-agent-skills42
Genomic Variant InterpretationReason about germline and somatic variant classification using ACMG/AMP 2015 and AMP/ASCO/CAP frameworks. Use when the user asks to classify a variant, interpret a VCF annotation, resolve a VUS, apply ACMG criteria, weigh ClinVar evidence, evaluate gnomAD allele frequencies, interpret REVEL/CADD/SpliceAI scores, decide whether PVS1 applies, or assess gene-disease validity before reporting. Triggers include "ACMG", "variant classification", "pathogenic", "likely pathogenic", "VUS", "benign", "Cliawslabs/hcls-agent-skills42
Hedis Measure SpecificationReasoning skill for HEDIS measure specification, enrollment logic, exclusion evaluation, NCQA audit requirements, and care gap prioritization. Use when the user asks about HEDIS measure definitions, denominator/numerator/exclusion logic, continuous enrollment rules, Star Rating impact, or care gap closure strategies.awslabs/hcls-agent-skills42
Imaging Study DesignReasoning skill for medical imaging study design and biomarker selection. Use when the user asks to plan an imaging study, choose a preprocessing strategy, select an imaging biomarker, design a radiomics pipeline, handle DICOM de-identification, plan longitudinal imaging analysis, or pick a registration target. Triggers include "imaging study", "preprocessing strategy", "DICOM de-identification", "imaging biomarker", "radiomics", "longitudinal imaging", "registration target", "MNI vs native spacawslabs/hcls-agent-skills42
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 about IEC 62304 safety classification, ISO 14971 risk management, 21 CFR 820/QMSR quality system requirements, Design History File structure, 510(k)/De Novo/PMA pathway selection, SOUP/OTS assessment, verification and validation planning, cybersecurity for medical devices, PCCP for AI/ML devices, design reviews, traceability matrices, or post-market surveillance.awslabs/hcls-agent-skills42
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 clinical/biomedical data, set up cross-validation, pick evaluation metrics, audit fairness, plan a regulatory submission, or critique an ML pipeline on EHR, medical imaging, genomics, molecules, or clinical text. Triggers include "design an ML experiment", "which model for this clinical data", "how should I split", "nested CV", "class imbalance", "AUROC vs AUPawslabs/hcls-agent-skills42
Molecular DockingMolecular docking pipeline using AutoDock Vina for structure-based drug discovery. Triggers on docking, AutoDock Vina, receptor preparation, ligand preparation, PDBQT, grid box, virtual screening, binding affinity, pose prediction, structure-based virtual screening, "redocking RMSD", "Vina score", "docking pose", "prepare receptor", "ligand library screening".awslabs/hcls-agent-skills42
Multi Omics IntegrationReasoning skill for multi-omics data integration strategy selection. Use when the user asks to integrate transcriptomics with proteomics, combine multi-omic layers, choose between early intermediate or late integration, apply batch correction across omics, handle partial sample overlap, run MOFA+ or iCluster, interpret multi-omic factors, select enrichment methods for multi-omic signatures, or decide how to merge genomics epigenomics transcriptomics proteomics and metabolomics data. Triggers incawslabs/hcls-agent-skills42
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, convert between omic data formats, run batch correction with ComBat or ComBat-seq, perform GSEA or over-representation analysis on multi-omic results, run consensus clustering on integrated data, execute MOFA2 in R or mofapy2 in Python, build a multi-omics ETL pipeline, harmonize feature identifiers across omics layers, or run clusterProfiler enrichment. Triggeawslabs/hcls-agent-skills42
Ngs Quality ControlNGS quality control pipeline for short-read sequencing data. Triggers on FastQC, QC, quality control, adapter trimming, coverage, mosdepth, Picard metrics, fastp, MultiQC, sequencing QC, BAM QC, WGS/WES coverage analysis.awslabs/hcls-agent-skills42
Pa Clinical PolicyReasoning skill for prior authorization clinical policy evaluation. Use when the user asks about payer clinical criteria, step therapy requirements, medical necessity definitions, CMS LCD/NCD coverage rules, appeals documentation strategy, formulary tier implications, or FHIR Da Vinci PAS implementation guidance. Triggers include "prior auth policy", "step therapy", "medical necessity", "coverage determination", "LCD", "NCD", "formulary tier", "PA appeal", "peer-to-peer review", "Da Vinci PAS", awslabs/hcls-agent-skills42
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 bundles), extract clinical features for adjudication, build rules-based PA decision engines, train ML classifiers on historical PA decisions, analyze denial patterns, or generate SHAP explanations for PA outcomes. Triggers include "parse 278", "FHIR PAS bundle", "PA automation", "adjudication logic", "PA classifier", "denial analysis", "prior auth ML", "SHAP awslabs/hcls-agent-skills42
PharmacoepidemiologyReason about pharmacoepidemiologic study design for causal inference from real-world data — choosing active comparator new-user designs, emulating target trials, avoiding immortal time bias, handling time-varying confounding with marginal structural models, and selecting propensity score methods. Use when the user asks to design a drug safety or effectiveness study, choose between propensity score matching vs weighting vs stratification, emulate a target trial, handle immortal time bias, apply mawslabs/hcls-agent-skills42
Protein Structure AnalysisPipeline skill for protein structure analysis covering PDB/mmCIF parsing, RMSD superposition, Ramachandran/dihedral analysis, binding pocket detection, contact maps, B-factor flexibility, DSSP secondary structure, and format conversion. Triggers on PDB, protein structure, RMSD, Ramachandran, binding pocket, Biopython, PyMOL, pocket detection, fpocket, DSSP, PDBQT, structural alignment, superposition.awslabs/hcls-agent-skills42
Provider Denial WorkupReasoning skill for healthcare revenue cycle denial management. Use when the user needs to appeal a claim denial, draft a payer-ready denial appeal letter, analyze a denial reason code, or determine whether a denied claim should be overturned, pended, or accepted. Triggers include "appeal a claim denial", "draft denial appeal", "write appeal letter", "CO-50 denial", "medical necessity denial", "CARC code appeal", "RARC code", "overturn denial", "prior auth denial", "timely filing denial", "deniaawslabs/hcls-agent-skills42
Quality MeasuresPipeline skill for computing HEDIS quality measures from claims and clinical data. Use when the user asks to calculate HEDIS measure rates, check continuous enrollment, build denominator/numerator logic, detect care gaps, compute utilization rates, identify high-cost claimants, or score risk stratification indices. Triggers include "calculate HEDIS", "measure rate", "continuous enrollment check", "care gap detection", "denominator query", "numerator logic", "utilization rate", "high-cost claimanawslabs/hcls-agent-skills42
Quantitative ProteomicsReason about quantitative proteomics experiment design and data analysis strategy. Use when the user asks to choose between LFQ, TMT, and DIA quantification; select an imputation method for missing values; pick a normalization strategy; interpret differential expression results from proteomics data; evaluate ratio compression; or design a proteomics study for biomarker discovery or validation. Triggers include "LFQ vs TMT", "DIA quantification", "proteomics normalization", "missing value imputatawslabs/hcls-agent-skills42
Radiology PreprocessingStructural MRI/CT preprocessing pipeline for radiology workflows covering skull stripping, bias field correction, registration, and intensity normalization. Triggers on skull stripping, bias correction, registration, ANTs, FSL, HD-BET, N4, brain extraction, normalization, FLIRT, FNIRT, SyN, fslreorient2std, MNI registration, T1 preprocessing.awslabs/hcls-agent-skills42
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 crosswalk, calculate RAF scores, resolve disease hierarchies programmatically, identify coding gaps from Rx or lab proxies, project member-level risk scores, build a risk adjustment data pipeline, compute HCC coefficients, run hierarchy resolution code, or generate member risk score reports. Triggers include "calculate RAF score", "ICD-10 to HCC crosswalk", "hieawslabs/hcls-agent-skills42
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, blended transition methodology, ICD-10-to-HCC mapping logic, disease interaction hierarchies, RAF score methodology, risk adjustment factor calculation, coding gap identification, audit-defensible documentation, HCC recapture strategy, prospective vs retrospective risk adjustment, or Medicare Advantage risk scoring. Triggers include "CMS-HCC", "V24", "V28", "blendawslabs/hcls-agent-skills42