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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 11,353–11,376 of 20,295 skills
- Vllm Local Deploy ExpertSelf-host vLLM in Docker for high-throughput local inference with tensor parallelism, prefix caching, and AWQ/GPTQ quantization. Use when deploying, running, or configuring local LLM inference with vllm local deploy.Votes: 0GitHub stars: 8
- Vespa ExpertDeep expertise in Vespa — tensor framework, ranking expressions, ColBERT MaxSim, sparse + dense in one query, and multi-phase ranking. Use when implementing vector search, embeddings storage, or similarity queries with vespa.Votes: 0GitHub stars: 8
- Terraform Iac Expertterraform-iac-expert. Use when architecting or managing cloud infrastructure with terraform iac.Votes: 0GitHub stars: 8
- Suno Udio Music ExpertAI music gen patterns - Suno, Udio, Stable Audio, MusicGen, ACE-Step, YuE. Use when working with multimodal AI (images, audio, video) using suno udio music.Votes: 0GitHub stars: 8
- Spring Boot ExpertExpert in Spring Boot framework with REST APIs, security, testing, performance, dependency injection, and production deployment. Use when you need deep expertise in spring boot.Votes: 0GitHub stars: 8
- Soc2 ComplianceExpert in SOC 2 compliance implementation and audit preparation. Use when performing security analysis, auditing, or hardening with soc2 compliance.Votes: 0GitHub stars: 8
- Skill Pipeline Budget PlannerGiven target latency and throughput, assign a time budget to every pipeline stage and flag which stage will miss its budget first. Use when you need help with skill pipeline budget planner.Votes: 0GitHub stars: 8
- Serverless ExpertExpert in serverless architecture with AWS Lambda, Azure Functions, and Google Cloud Functions. Use when you need deep expertise in serverless.Votes: 0GitHub stars: 8
- Sci TiledbvcfEfficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics. Use when you need help with tiledbvcf.Votes: 0GitHub stars: 8
- Sci Latchbio IntegrationLatch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration. Use when you need help with latchbio integration.Votes: 0GitHub stars: 8
- Sci Dnanexus IntegrationDNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution. Use when you need help with dnanexus integration.Votes: 0GitHub stars: 8
- Scheming TriageTriage an agent-deployment incident report against the Apollo three-pillar scheming framework. Use when you need help with scheming triage.Votes: 0GitHub stars: 8
- Roadmap PlanningExpert in product and technical roadmap planning, prioritization, and communication. Use when you need help with roadmap planning.Votes: 0GitHub stars: 8
- Rezvani Threat DetectionUse when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-score anomaly detection, and MITRE ATT&CK-mapped signal prioritization.Votes: 0GitHub stars: 8
- Rezvani Snowflake DevelopmentUse when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors.Votes: 0GitHub stars: 8
- Rezvani Senior Ml EngineerML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns...Votes: 0GitHub stars: 8
- Rezvani Senior DevopsComprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.Votes: 0GitHub stars: 8
- Rezvani Senior Data EngineerData engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.Votes: 0GitHub stars: 8
- Rezvani Senior Computer VisionComputer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.Votes: 0GitHub stars: 8
- Rezvani Secrets Vault ManagerUse when the user asks to set up secret management infrastructure, integrate HashiCorp Vault, configure cloud secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), implement secret rotation, or audit secret access patterns.Votes: 0GitHub stars: 8
- Rezvani Release ManagerUse when the user asks to plan releases, manage changelogs, coordinate deployments, create release branches, or automate versioning.Votes: 0GitHub stars: 8
- Rezvani Prompt GovernanceUse when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipelines for production AI features. Triggers: 'manage prompts in production', 'prompt versioning', 'prompt regression', 'prompt A/B test', 'prompt registry', 'eval pipeline'. NOT for writing or improving individual prompts (use senior-prompt-engineer). NOT for RAG pipeline design (use rag-architect). NOT for LLM cost ...Votes: 0GitHub stars: 8
- Rezvani PipelineDetect stack and generate CI/CD pipeline configs. Usage: /pipeline <detect|generate> [options]. Use when you need help with pipeline.Votes: 0GitHub stars: 8
- Rezvani Observability DesignerDesign production-ready observability strategies combining metrics, logs, and traces. Includes SLI/SLO design, golden-signals monitoring, alert optimization. Use when adding observability to a new service, refactoring alerting that is too noisy, or designing an SLO program before scaling production load.Votes: 0GitHub stars: 8