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Data & AI

Machine learning, LLMs, and data processing.

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data-engineering

483

azure-files

Expert knowledge for Azure Files development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Azure Files tiers/redundancy, File Sync/DFS, AD/Kerberos auth, AKS CSI, or app SDK access, and other Azure Files related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines).

MicrosoftDocs

data-ai

data-engineering

483

azure-health-data-services

Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR/DICOM/MedTech services, de-identification APIs, bulk ops, Synapse pipelines, or Private Link, and other Azure Health Data Services related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure API Management (use azure-api-management), Azure Data Factory (use azure-data-factory), Azure Synapse Analytics (use azure-synapse-analytics).

MicrosoftDocs

data-ai

data-engineering

483

azure-import-export

Expert knowledge for Azure Import Export development including troubleshooting, limits & quotas, and security. Use when setting CMK via Key Vault, validating drive/OS support, or debugging Import/Export job and log issues, and other Azure Import Export related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files).

MicrosoftDocs

data-ai

data-engineering

483

azure-iot-edge

Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring IoT Edge modules/devices, DPS provisioning, EFLOW on Windows, gateways, or GPU-accelerated workloads, and other Azure IoT Edge related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Operations (use azure-iot-operations), Azure Stack Edge (use azure-stack-edge).

MicrosoftDocs

data-ai

data-engineering

483

azure-managed-redis

Expert knowledge for Azure Managed Redis development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when using Entra auth, geo-replication, persistence, Private Link, ARM/Bicep deploys, or Azure Functions bindings, and other Azure Managed Redis related development tasks. Not for Azure Cache for Redis (use azure-cache-redis).

MicrosoftDocs

data-ai

data-engineering

483

azure-open-datasets

Expert knowledge for Azure Open Datasets development including limits & quotas. Use when handling non-Spark dataset downloads, throttling behavior, quota limits, retry logic, or rate-limit workarounds, and other Azure Open Datasets related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning).

MicrosoftDocs

data-ai

data-engineering

483

azure-quantum

Expert knowledge for Azure Quantum development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using QDK/qdk.azure, hybrid jobs, QIR/OpenQASM/Pulser circuits, IonQ/PASQAL/Quantinuum/Rigetti, or resource estimator, and other Azure Quantum related development tasks. Not for Azure HPC Cache (use azure-hpc-cache), Azure Batch (use azure-batch), Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning).

MicrosoftDocs

data-ai

data-engineering

483

azure-queue-storage

Expert knowledge for Azure Queue Storage development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing queue auth (Entra ID/RBAC), monitoring metrics/logs, tuning throughput/limits, or coding with SDKs, and other Azure Queue Storage related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Table Storage (use azure-table-storage), Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs).

MicrosoftDocs

data-ai

data-engineering

483

azure-stack-edge

Expert knowledge for Azure Stack Edge development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running IoT Edge or GPU/Kubernetes apps, configuring VMs/storage/networking, or managing device updates, and other Azure Stack Edge related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure IoT Edge (use azure-iot-edge), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines).

MicrosoftDocs

data-ai

data-engineering

483

azure-synapse-analytics

Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Synapse workspaces, Spark pools, dedicated/serverless SQL, Delta Lake, or Synapse Link workloads, and other Azure Synapse Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).

MicrosoftDocs

data-ai

data-engineering

483

azure-table-storage

Expert knowledge for Azure Table Storage development including best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when managing Entra ID/RBAC access, monitoring metrics/logs, tuning partitions/keys, or scripting tables via PowerShell, and other Azure Table Storage related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Blob Storage (use azure-blob-storage), Azure Queue Storage (use azure-queue-storage), Azure Files (use azure-files).

MicrosoftDocs

data-ai

machine-learning

483

azure-anomaly-detector

Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).

MicrosoftDocs

data-ai

machine-learning

483

azure-machine-learning

Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure ML workspaces, AutoML, Prompt Flow, online/batch endpoints, or SDK/CLI v2 deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm), Azure HDInsight (use azure-hdinsight).

MicrosoftDocs

data-ai

machine-learning

482

llm-development

LLM and ML development best practices with LangChain and transformers. Use when building AI/ML applications.

meleantonio

data-ai

machine-learning

480

de-aigc-rewrite

去机器味改写技能。用于在不改变论证结构的前提下，压缩模板化表达和明显 AI 腔调。

QJHWC

data-ai

machine-learning

478

memory

Two-layer memory system with grep-based recall.

IppClub

data-ai

data-analysis

474

calculator

Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.

Code-and-Sorts

data-ai

data-analysis

471

bio-reporting-figure-export

Exports publication-ready figures in various formats with proper resolution, sizing, and typography. Use when preparing figures for journal submission, creating vector graphics for presentations, or ensuring consistent figure styling across analyses.

GPTomics

data-ai

data-analysis

471

bio-clinical-biostatistics-trial-reporting

Prepares statistical tables and reports for clinical trials following regulatory standards. Generates Table 1 baseline characteristics, defines analysis populations (ITT, per-protocol, safety), performs multiple imputation for missing data, and follows CONSORT and ICH E9 guidelines. Use when creating analysis reports, handling missing data, or preparing regulatory submissions from clinical trials.

GPTomics

data-ai

data-analysis

471

bio-reporting-jupyter-reports

Creates reproducible Jupyter notebooks for bioinformatics analysis with parameterization using papermill. Use when generating automated analysis reports, running notebook-based pipelines, or creating shareable computational notebooks.

GPTomics

data-ai

data-analysis

471

bio-reporting-automated-qc-reports

Generates standardized quality control reports by aggregating metrics from FastQC, alignment, and other tools using MultiQC. Use when summarizing QC metrics across samples, creating shareable quality reports, or building automated QC pipelines.

GPTomics

data-ai

data-analysis

471

bio-experimental-design-multiple-testing

Applies multiple testing correction methods including FDR, Bonferroni, and q-value for genomics data. Use when filtering differential expression results, setting significance thresholds, or choosing between correction methods for different study designs.

GPTomics

data-ai

data-analysis

471

bio-clinical-biostatistics-categorical-tests

Tests associations between categorical variables in clinical data using chi-square, Fisher's exact, and Cochran-Mantel-Haenszel tests. Computes effect sizes and post-hoc pairwise comparisons. Use when analyzing categorical outcomes or testing treatment-outcome independence in clinical trials.

GPTomics

data-ai

data-analysis

471

bio-clinical-biostatistics-subgroup-analysis

Performs stratified and subgroup analyses for clinical trial data. Covers Mantel-Haenszel pooling, Breslow-Day homogeneity testing, interaction terms in regression, multiple comparisons correction, and forest plot visualization. Use when analyzing treatment effects across patient subgroups or controlling for stratification variables.

GPTomics

data-ai

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